A Life Contingency Approach for Physical Assets: Create Volatility to Create Value

Size: px
Start display at page:

Download "A Life Contingency Approach for Physical Assets: Create Volatility to Create Value"

Transcription

1 A Life Contingency Approach for Phyical Aet: Create Volatility to Create Value homa Emil Wendling 2011 Enterprie Rik Management Sympoium Society of Actuarie March 14-16, 2011 Copyright 2011 by the Society of Actuarie. All right reerved by the Society of Actuarie. Permiion i granted to make brief excerpt for a publihed review. Permiion i alo granted to make limited number of copie of item in thi monograph for peronal, internal, claroom or other intructional ue, on condition that the foregoing copyright notice i ued o a to give reaonable notice of the Society copyright. hi conent for free limited copying without prior conent of the Society doe not extend to making copie for general ditribution, for advertiing or promotional purpoe, for incluion in new collective work or for reale.

2 Abtract A firm will replace a phyical aet at the end of it ueful life. hi fact demontrate that there i a notion of mortality implicit in the way an enterprie manage it phyical aet. We propoe a theory that there i alo an efficient time, which i random and obervable, to replace a phyical aet. Separate economic and financial model converge on agreement that: 1) there i only one intant in time an aet mut be replaced in order to minimize the preent value cot impact to the enterprie, 2) thi efficient intant i obervable and a function of both the enterprie cot of capital and readily obtainable current calendar year information, and 3) the time to thi efficient intant i random and may be infinite. hrough a policy of coordinating the timing of replacement with thee efficient, obervable intant, lot efficiencie are recovered. Such a policy necearily create volatile, fortuitou, future cah flow, which are dealt with through capital adequacy or rik tranfer, rather than deferral or other form of cheduling for convenience. he efficiency gain and accompanying value creation may be material if the enterprie aet are motly phyical. he potential role of the extended ervice contract to implement uch a policy and to tranfer the reulting uncertain cah flow between entitie i dicued. A broad comparion to prior art capital expenditure planning method i made. Poible tax conequence due to the interaction between efficiency and fortuity are dicued. A policy event-baed lo etimation method uing expert input and imulation i preented for forecating thee long duration expenditure and calculating actuarially ound ervice fee for the aforementioned extended ervice contract. In thi world nothing can be aid to be certain, except death and taxe. Benjamin Franklin to Jean-Baptite Leroy in a letter dated Nov. 13,

3 1 Introduction hi paper predict the exitence of potentially ubtantial economic inefficiencie borne by enterprie that are not detectable through examination of data created by currently configured accounting ytem. It concluion are predicated on aumption about the nature of a function called M(t), which define the ize and timing of cah flow unique to individual phyical aet. Certain gro characteritic of M(t) will be decribed and are imply aumed for the purpoe of building a theoretical argument that could form the bai for an enterprie policy to manage phyical aet. he phyical aet referred to in thi paper are fixed aet that are not expended during operation and are ued to produce revenue. hey do not include cah or inventorie, which might ometime be included under a broader definition. hey comprie the plant, property and equipment line item on the balance heet. hee aet are ometime collectively referred to a plant. Many phyical aet will eventually be replaced with like or imilar aet that perform the ame miion within the plant. he proce of replacing phyical aet when they have reached the end of their ueful live i often referred to a renewal. he value of phyical aet in the economy i vat. Of particular interet in thi paper i capital equipment. According to the U.S. Cenu Bureau 2010 Capital Spending Report, $809.9 billion of capital equipment wa purchaed in the United State in 2008 alone. Much of it will be replaced in the future. Subequent year will probably how increaing level of invetment in capital equipment. For ome enterprie, phyical aet expenditure, including not only repair and replacement, but alo other operating cot, are ignificant when compared to their earning. Efficiency gain in thee expenditure may have a material impact on their market valuation. Oil and ga companie, electrical power producer, public utilitie, tranportation authoritie and manufacturer are all ector that rely heavily on phyical aet and may benefit from a management approach realitically addreing their mortality. Matziorini and Rowley (1993) decribe the magnitude of phyical aet expenditure and ome of the hortcoming in the way they are accounted for on a macroeconomic level. hey focu on repair and replacement expenditure and expre the opinion that thee do not receive much attention in the theory and econometric of invetment, depite their importance. hey alo decribe the effect of the level of aggregation of phyical aet in the accounting of uch expenditure a a reaon they cannot be conitently meaured. For example, i an airplane a ingle phyical aet, or i it compoed of the airframe, engine and interior fitting a eparate aet? Work ha been done attempting to explain the economic reaon for replacement invetment. Einer (1972), Feldtein and Foot (1971), Feldtein (1974) and Foot (1970) have tudied tatitical correlation in empirical data claified into different candidate determinant variable including a firm liquidity, cot of capital, level of ale, level of expanion invetment, level of capacity utilization, buine expectation, rate of change in capital good price, the average age of capital good, tax factor and technology change. Intereting correlation among thee variable were dicovered by thee author and ubequent work 2

4 that cite them have ued their finding to addre the accuracy of macroeconomic meaure, uch a gro fixed capital expenditure or gro fixed capital formation. hee author alo conidered behavioral effect implicit in thee explanatory variable, which we intend to filter out by articulating a purely rational enterprie policy for the replacement of phyical aet. 3

5 2 Economic of Phyical Aet Replacement Regardle of the level of aet aggregation, accountant decribe a phyical aet a having a ueful life. he Financial Accounting Standard Board (FASB) Statement of Financial Accounting Standard No. 5 tate, he eventual expiration of the utility of an aet i not uncertain. However, what doe utility mean in the context of lifepan? If a machine fail due to the failure of a dicrete component, it can alway be repaired (the component can be replaced) to return it to it ueful tate. Indeed, any phyical aet that i an aggregation of component can be repaired indefinitely to maintain it uefulne. A phyical aet that i an aggregation of component never ha to reach the end of it ueful life. It can be immortal with repect to utility. Neverthele, we know companie do replace phyical aet at all level of aggregation, and accountant have ued the concept of utility to repreent thi phenomenon. We will focu on an economic, rather than accounting, undertanding of why phyical aet are eventually replaced. It i ueful to look at the motivation for replacement of phyical aet under mot type of extended ervice contract to gain inight. Such contract provide for either repair or replacement of an aet, uch a capital equipment. If it were le expenive to replace an item of equipment than to repair it, then the party paying for the repair or replacement would naturally prefer to replace it. However, in the cae of mot capital equipment, replacement i uually not an immediate alternative to an expenive repair. Under an extended ervice contract for a home, it i eay to purchae a water heater at the hardware tore a an immediate alternative to an expenive repair. In contrat, in an indutrial etting, it i not o eay, for example, to purchae a locomotive a an immediate alternative to repairing one. he procurement proce from requiition to commiioning can lat year. Even prior to uch a requiition, the deciion to replace a major item of capital equipment i the reult of a lengthy proce, which begin with the gradual (and often delayed) recognition of the economic benefit of replacement and i often deferred due to management incentive and the lack of fund for aet replacement. Capital equipment eldom generate repair cot from a ingle failure cloe to the all-in replacement cot of the equipment. herefore, the repair veru replacement rationale decribed at the beginning of the lat paragraph may hold for home, vehicle or appliance ervice contract, but it ha little application with capital equipment. Repair are triggered when equipment or component fail. Repair cannot be deferred, ince they are required to retore equipment to functionality, which can be critical from the tandpoint of afety, reliability, availability or lot revenue. However, replacement of a phyical aet i deferrable, in favor of continued repair, even though it may not alway be economically efficient to do o. Few action have a powerful an impact on the operating cot of an individual phyical aet a it replacement with a new one. Few action are a expenive. o undertand the reaon for replacement, it i ueful to remember that repair cot uually rie a the aet age. hi i the natural conequence of aging machinery component. At ome threhold of repair cot, a deciion to replace an entire aet may be preferable to one of continuing to pay for riing maintenance cot. We will initially focu only on repair cot, in keeping with our 4

6 ervice contract analogy, but will then how that our model encompa any actual expene and opportunity cot that influence the replacement deciion. 2.1 An Economic Model Let u initially define M(t) only a the variable cot of repair at time t. M(t) i the annual variable repair cot in calendar year t. hee variable cot are the additional cot for an enterprie to repair an item of equipment beyond it fixed cot. Variable cot vary with the frequency of equipment failure, but fixed cot do not. An example of a variable cot of repair i the cot of new component and labor to intall them and i contingent on the occurrence of an equipment failure. An example of fixed cot i the cot of routine, cheduled, preventive maintenance. 1 An enterprie may alo have lower variable cot for a given level of repair becaue of it degree of dependence on fixed cot to accomplih the ame repair, for example, the level of on-the-job training given to it maintenance taff, or the invetment in permanent tool needed to perform maintenance function. We looely define thee difference in variable cot to achieve a given level of repair a an organization marginal cot of repair. We define C a the all-in lo and expene to replace an item of equipment including the cot of the new equipment and intallation, le any alvage recoverie. i the average interreplacement time, or average time between replacement, calculated over many replacement occurring over a long period. Cot X 1 X 2 X Figure 1 C t= + 1 M t=1 ( t) M ( t) M ( t) C 1 2 ime, t and, year 1. Although there i a relationhip between the level of routine, preventive maintenance and the frequency of equipment failure, thi doe not change the fact that preventive maintenance can be regarded a a fixed cot. he quetion of chooing an optimum level of preventive maintenance i eparate from the replacement timing quetion under analyi and i a focu of a field called enterprie aet management (EAM). 5

7 Figure 1 i a conceptual model of average cot familiar to economit. he downward loping dark curve i the average cot of replacement, which decreae with. he upward loping dark curve i the average cot of repair, which increae with. he dotted curve i the total average cot of repair and replacement, which i the um of the two dark curve. Unlike M(t), thee curve repreent average over a long period of time and over a large number of replacement. he formula hown on the graph how the algebraic relationhip of thee curve to M(t), C and. We ue ummation rather than integral becaue M(t) would probably be meaured in dicrete annual amount. he mot important feature of thi graph i that for increaing M(t), the total average cot of repair and replacement (the dotted curve) i minimum at, which correpond to a total average cot of repair and replacement of X. It alo illutrate that if time other than are choen for replacement, total average cot will be higher. he efficient time for replacement i at. Any other replacement time i not efficient. hi figure illutrate the effect of a repair veru replacement policy. If replacement occur before, at 1, then the total average repair and replacement cot will be higher than X, at X 1. hi reult from a urplu of M(t) under M(). If replacement occur after, at 2, then the total average repair and replacement cot will alo be higher than X, at X 2. hi reult from a deficit of M(t) over M(). An efficient repair veru replacement policy may have a material impact on the earning of enterprie that rely heavily on phyical equipment to generate revenue. For example, a power utility with $20 billion in machinery and equipment with an optimal lifepan of 20 year would pay 1/20 th x $20 billion each year in replacement and perhap an additional 15 percent of thi amount in repair, or $1.15 billion. If an inefficient repair veru replacement policy reulted in an additional 10 percent in exce of X in total average repair and replacement cot, then thi would add $115 million to the organization annual operating cot. If earning were on the order of $1 billion, then thi inefficiency could be material to uch an enterprie market valuation. hi i a hypothetical example, and we do not have documented accounting evidence of the inefficiencie predicted by Figure 1. However, the dollar value and the potential lo of efficiency (ee Section 5.1) decribed in the above example are realitic. Figure 1 ha two important implication. Firt, it illutrate the exitence of an optimal inter-replacement time. he econd implication i the caual relationhip between repair and optimal replacement timing, ince the evolution of M(t) determine. hi conceptual model i ueful to illutrate thee two implication, but it doe not take into account time value of money when calculating average of repair and replacement cot, which are really perpetuitie, pread over time. herefore, we cannot ue the principle in Figure 1 to preciely calculate value uch a X, or M(t) evaluated at. 6

8 3 A Financial Model A econd conceptual approach i to think of replacement a an option that hould be exercied at the optimal time,. In thi model, we compare the preent value of M(t) evaluated at in perpetuity, to the preent value of all future repair and replacement cot, reulting from a replacement at, in perpetuity. Repair and replacement are mutually excluive and complementary option. By deciding to not replace a phyical aet today, one i deciding to continue to repair it. By deciding to not continue repair, one i deciding to replace the aet. For a going concern, there i no third excluive option. here i alo no do nothing option with repect to thee two alternative. herefore, the deciion mut be exercied relative to each phyical aet, individually. If the variable cot of repair i increaing, it will cro a certain threhold at time at which the preent value of continued repair at that threhold will exceed the preent value of an immediate replacement with all it attendant future repair and replacement. Optimal replacement occur at thi threhold value of M(t). he two firt term on the right ide of equation 3.1 repreent the preent value at replacement time of a perpetuity (due) of replacement coting C occurring every year. he third term on the right of equation 3.1 repreent the preent value at replacement time of a perpetuity of all repair cot repeating every year. he time value of money i repreented by a dicount rate, i. 3.1 M ( ) i = C + C i (1 + i) + t= 1 i M ( t) v t Multiplying both ide of equation 3.1 by i give 3.2 M ( ) = ic + C (1 + i) + t= 1 M ( t) v t he continued derivation beyond equation 3.2 i provided in the appendix, but for M(t) exhibiting the kind of convexity hown in Figure 1, mot value of typical of capital equipment (i.e., > 10 year), and for typical value of i, the right term of equation 3.2 become very mall, and equation 3.2 can be approximated by: 2 2. he tatement about the approximate nature of thee relationhip can be verified by inerting typical value of aet lifepan and dicount rate and fitting polynomial of different convexitie repreentative of M(t) into equation 3.2 to demontrate the vanihing term in thee approximation. 7

9 3.3 ( ) M ic + C A become very large (i.e., > 75 year), equation 3.3 can be further reduced and approximated by equation M ( ) ic Equation 3.4 i imply the dicount rate multiplied by the all-in cot of replacement and repreent an obervable threhold of increaing M(t) at which the replacement deciion i optimal. he equation become an equality a or i, or both, become large. Equation 3.3 and 3.4 are very handy rule of thumb and are reaonably accurate for replacement deciion for mot type of phyical aet with lifepan longer than 10 year. In equation 3.3, i an a priori etimate of the expected ueful life of the phyical aet. Obtaining uch an etimate i the focu of Section 7.6 of thi paper. Equation 3.4 require no uch etimate of the expected lifepan of the phyical aet but would not be appropriate for hort-lived aet, uch a information technology or vehicle. hi conceptual model ha it own intereting implication. If M(t) never exceed thi threhold, then replacement will never occur. In uch a ituation, there will never be a rational time in which the enterprie hould replace the phyical aet. hi may be the cae for an enterprie with a very low marginal cot of repair. It i alo the cae for many type of aet with low repair cot (relative to replacement), uch a building or concrete tructure, which explain why mot of our dicuion on replacement of phyical aet focue on capital equipment. Since we know little about the function M(t), apart from ome gro characteritic dicued below, it i a boon to our analyi that it can be dropped from our determination of the appropriate aet replacement time. Deciion for the efficient replacement of phyical aet can be baed on a imple trigger that i eaily articulated in policy, or a a contractual performance obligation. If i = 0, then equation 3.2 reduce to equation 3.5: M C t= M ( ) = + ( t) he firt term on the right ide of equation 3.4 equal the average cot of replacement in Figure 1, and the econd term on the right ide of thi equation equal the average cot of repair in Figure 1, both evaluated at the optimal replacement time,. herefore, the financial model decribed in equation 3.1 through 3.4 converge with the economic model decribed in Figure 1, if we ignore the time value of money in both model. he curve in Figure 1 can be adjuted for the time value of money to obtain the ame reult a in equation 3.1 to 3.4, but then Figure 1 would loe it implicity and illutrative 8

10 power a an economit tool for undertanding the minimization of average cot. hi adjutment would alo not affect the two important implication of Figure 1 dicued in Section 2.1. If thi adjutment were graphed, we would notice that M(t) till interect the minimum point of the adjuted average cot of repair and replacement (the dotted curve), jut a it doe in Figure 1. All curve of Figure 1, except for M(t), would move upward and to the right with an increaing (nonzero) dicount rate. We will not create uch graph here but imply note that equation 3.1 to 3.4 provide the correct threhold value of M() becaue of their incluion of the time value of money. Another way to approach thi problem derive from peronal experience. A few year ago, I replaced an old car. It had been in the hop everal time that year for unrelated repair and eemed to continue a trend of increaing cot that had begun a few year earlier. he maintenance cot, I reaoned, were becoming a ignificant fraction of what I would pay annually for a loan on a new car and without all the hale. Of coure, the annual amount of uch an imaginary loan would depend on it term, but the number I had in mind for comparion wa for the longet poible loan, perhap approaching the amount of time I might own the next car. My annual maintenance cot were becoming an ever-increaing proportion of the annual amount that would be paid for thi loan (equation 3.6 below). 3.6 Amount = C a hen, with ome algebra: C = v C (1 + i) = i = C [( 1+ i) 1] i 1 = C i + = ic C Equation 3.10 i the ame reult a in equation 3.3. he peronal experience decribed above i a third, eparate philoophical approach to the problem of aet replacement, but it i mathematically equivalent to the firt two. It alo how that the horizon of the deciion doe not have to be infinite. In other word, the cah flow under conideration only have to be a 9

11 long a the expected lifepan of the replacement aet, not in perpetuity, in order for the trigger expreion in equation 3.10 to be true. For typical aet lifepan, the threhold value of M(t) i mot enitive to etimate of the dicount rate and the all-in replacement cot (which are eaily etimable), le enitive to error in the a priori etimate of lifepan and virtually inenitive to the (unknown) form of the function M(t). 3.1 A Broader Interpretation of M(t) In the above conceptual model, M(t) wa defined a the calendar year variable cot of repair for a phyical aet at time t. hi interpretation i uually conitent with the cope of reponibility in an extended ervice contract. he ervice provider for uch a contract i uually not obliged to replace an item of capital equipment imply becaue a newer, more efficient verion of the ame capital equipment emerge in the market. However, the owner of the aet internalize all economic cot aociated with it and may wih to expand the definition of M(t). A more general interpretation of M(t) would be that it repreent the calendar year cot of holding an old phyical aet. By holding an old phyical aet (intead of replacing it) the enterprie may pay not only for increaing repair, but expected revenue loe due to increaed frequency of downtime of aging equipment, or for the opportunity cot of lower operating expene aociated with new, more technologically advanced replacement equipment. Such opportunity cot can be objectively quantified a aving in operating and routine maintenance cot. Since technology generally improve, thee opportunity cot increae, which i conitent with our aumption of increaing M(t) in our model. For thoe replacement aet that are capitalized, even the opportunity cot of not realizing the tax helter from depreciation of a new aet can be conidered a contituent of M(t). However, depreciation i more complicated in our theory, ince, although thi opportunity cot appear toward the end of the exiting aet life, it i not ever increaing. Neverthele, thi can be dealt with by finding an equivalent etimated level perpetuity amount to erve a a proxy contituent of M(t) and which reflect the impact of the unrealized tax helter of a newly capitalized replacement aet. here are probably potential contituent of M(t) that are impoible to meaure objectively. For example, how doe one put a value on new car mell when making a deciion to buy a new car? In an indutrial etting, thee contituent are, or at leat hould be, elected on a more rational bai. Having the flexibility to explicitly define the contituent of M(t) actually allow elimination of ubjective, even behavioral, contituent that have the potential to contribute to deciion that are irrational with repect to the goal of maximizing enterprie value. An example of thi would be deferral of replacement for the ake of hort-term profitability or an individual bonu. here are probably alo contituent of M(t) that are difficult to quantify, uch a the expected revenue lot due to increaing downtime of an aging phyical aet. hee cot, although difficult to meaure, till exit. Such obtacle are alo preent in traditional capital expenditure planning method often ued in an aet replacement deciion. 10

12 In theory, any calendar year cot of not replacing old equipment that would be conidered under a traditional capital budgeting method could be monitored a a contituent of M(t). Becaue of the increaing prevalence of individual phyical aet accounting ytem, repair cot of individual aet are now being regularly tracked and updated. Such information ytem can eaily be adapted to include current opportunity cot and any other objectively meaurable economic contituent of M(t). Such cot can be monitored by engineer, and the accuracy and documentation of that information could become an increaed focu of their expertie. 3.2 he Random Nature of M(t) In reality, M(t) doe not increae moothly over time a depicted in Figure 1 but poradically a it approache the threhold cot from beneath it. For example, variable repair cot, although increaing in t, are random. Repair cot are fortuitou by virtue of their cauation by random phyical factor, uch a breaking, napping, hort-circuiting, wearing, rupture or fouling. he very propenity of a phyical aet to require repair (a meaure of it quality) i a function of factor beyond the enterprie control. For example, wa the phyical aet produced during a labor trike at the factory? echnology change, reflected a opportunity cot in M(t), i an uncontrolled external factor, which can alo trigger the replacement deciion. he opportunity cot created by unforeeen technology advance i fortuitou and beyond the control of the enterprie puruing a policy of efficiency. Since replacement time are determined by a random M(t) and the optimal replacement time depend on a threhold of M(t), then the time until that threhold i croed i alo random. Becaue the contituent cot of M(t) are fortuitou, efficient replacement cot are alo fortuitou in a ene imilar to the fortuity of death benefit. Repair and replacement, if executed efficiently, are both example of uncheduled maintenance. Any attempt to chedule or plan replacement will generally not be efficient. M(t) increae and approache a threhold from underneath much in the ame way that an aggregate exce of lo treaty attachment point might be approached over time. Meauring M(t) and knowing when it croe the threhold value can be difficult, particularly if we wih to ue equation 3.3 a a contractual trigger for replacement. he ue of moving average of M(t), in order to dampen oberved fluctuation and avoid making premature replacement deciion, can olve thi problem. he perpetuity equation above aumed that replacement are evenly paced apart in time, but the random nature of M(t) invalidate thi aumption. Since inter-replacement time i a random variable, replacement are a tochatic tream of event. he preent value of a tochatic tream of cah flow i not equal to the preent value of a regularly paced (cheduled) tream of cah flow, a wa aumed in our financial model. However, the impact of thi idealization on the accuracy and implication of the equation above i minimal and merely repreent a further refinement of our analyi, which will not be analyzed in thi paper. 11

13 3.3 Ever Increaing M(t) Figure 1 how that M(t) increae and i aumed to never return to a level below M(). hi aumption implifie the financial model decribed in Section 3 and i baed on hitorical experience that all of the o-far mentioned contituent of M(t) generally increae over time. here may be exception to thi. Repair cot, for example, can decreae after a period of high frequency of repair. hi i epecially true for array of identical component that comprie a ingle phyical aet, which can create periodic concentration of repair cot over time. Figure 6 of Section 7.2 illutrate uch a ituation. he repair cot may increae initially before decreaing again to a teady tate level. If the threhold M() i higher than thi teady tate level, then an incorrect replacement deciion may be made. 3.4 he Convexity of M(t) In Figure 1, M(t) i hown to have convexity. hat i, cot eem to increae at an increaing rate over time. hi i largely anecdotal, but there i a theoretical bai for thi. Since mot equipment component follow time to failure ditribution that have an increaing force of mortality over time (i.e., the Weibull ditribution), one would expect an aggregation of uch component to exhibit the ame progreion of repair frequency, thu convexity, a that een at the lower percentile of uch a ditribution. Equipment that require repair at an evenly increaing rate over time would be conidered to be of very poor quality. Unforeeen advance in technology will reult in tep increae of the opportunity cot of holding old phyical aet, which can occur at any time. Such change invalidate the aumption of convex M(t) becaue they can occur with equal probability at any point in the aet life. However, advance in technology that create uch opportunity cot are exceptional event and not regular phenomena that occur over the lifepan of each replacement. he aumption of convexity in M(t), a depicted in Figure 1, i important, ince it mean that mot of the M(t) cot occur late in the life of a phyical aet and therefore are heavily dicounted in equation 3.2. Convexity in M(t) i what help u to drop it from the determination of the approximate replacement threhold value of M(t) in equation he Nature of i By broadening the definition of M(t) in Section 3.1, the trigger for economically optimal replacement of a phyical aet given by equation 3.3 now reemble the uual proce of capital expenditure planning in which the net preent value of all future cot operating old phyical aet are compared to that of new one. Since we now undertand the above equation to be an expreion of the traditional capital budgeting proce in the context of renewal and we are conidering alternative ue of a firm free cah flow, we can conclude that the dicount factor ued in the above perpetuitie i the (real) cot of capital of the entity making the replacement deciion. 12

14 3.6 Summary of Aumption Concerning M(t) he above aumption concerning M(t) were made to create an argument from which to draw ueful concluion. he aumption are ummarized a follow: M(t) i compried of variable repair cot but can alo include opportunity cot, expected lo cot and any other cot that would normally be conidered under a traditional capital budgeting method when making a replacement deciion. M(t) increae and doe not return to a value below the threhold value at which replacement i required, once thi threhold i croed. M(t), although increaing, i random and approache the threhold value requiring replacement, much the ame way in which the attachment point of an aggregate exce of lo treaty i approached. M(t) ha convexity, a depicted in Figure 1. hee idealization broadly decribe the time dependent nature of factor uually conidered in a replacement capital budgeting exercie. hey are not alway true, but experience ha hown they are uually the rule rather than the exception. hee aumption are probably alway true for a large ubet of phyical aet, uch a capital equipment. 3.7 Principle of Phyical Aet Replacement he concluion from the application of imple financial mathematic to the above aumption about the nature of M(t) can be ummarized by the following three principle: 1. here i only one intant in time that an aet mut be replaced in order to minimize the preent value cot impact to the enterprie. 2. hi efficient intant i obervable and a function of both the enterprie cot of capital and readily obtainable current calendar year information. 3. he time to thi efficient intant i random. It may be infinite. he above principle imply that efficient phyical aet replacement i a life contingency problem. he advantage of having an eaily calculable and objective trigger for economically optimal replacement i manifeted by the ability to make prompt deciion that are ruthle with repect to the goal of minimizing the overall net preent value cot impact to the enterprie. A threhold value, baed on readily obervable calendar year information, make it poible to bae contractual replacement obligation on event that cannot be manipulated by either party to uch a contract. he advent of individual phyical aet accounting ytem make it eay to track all type of cot aociated with individual phyical aet and make enforcement of uch a policy or ervice contract feaible. 13

15 4 Comparion With Other Capital Budgeting Method he trigger expreion in equation 3.3 and 3.4 ugget a new way of renewal capital budgeting at the operating level that can be implemented through an enterpriewide policy or contractually. Other capital expenditure deciion-making tool, uch a payback period, internal rate of return (IRR) and net preent value (NPV), are decribed in introductory finance text. Often, the author of thoe text expre a preference for the NPV method. he equivalent annual cot (EAC) method alo incorporate the time value of money and i ued a a mean of comparing invetment with different time horizon, uch a aet lifepan. hee are all excellent tool for evaluating new capital invetment or project. hey are flexible and can be ued to imultaneouly evaluate multiple capital invetment, particularly thoe with a finite horizon. However, in our ituation, the initial capital invetment i a unk cot, and the aet i already on the balance heet generating revenue. Phyical aet renewal i ditinct from initial capital invetment in that there are alway the ame two mutually excluive option (ee beginning of Section 3) under conideration, and timeline of the deciion between thee two option i important. An enterpriewide policy baed on the trigger decribed by equation 3.3 and 3.4 recognize the importance of timeline in the aet replacement deciion. However, other capital budgeting method are ued in a manner conitent with planning for new capital invetment. hee traditional method are purely propective in that they only recognize the time to replace an aet ha arrived but fail to account for the fact that the bet time to replace the aet may have long paed. raditional capital budgeting tool are alo relatively cumberome and haphazard tool. hey depend on the initiative of line manager, mut be created for each project and are ubject to review, econd-gueing and deferral. In the ituation of long-lived aet for a going concern, equation 3.3 and 3.4 reduce the capital budgeting proce to monitoring a predetermined et of current calendar year M(t) contituent and regular comparion to threhold value. Deciion are made by policy. he only input needed in uch a ytem i the continual data entry of calendar year M(t) information, with the deciion itelf being automated. he increaed uage of individual phyical aet accounting ytem make thi a practicable reality today. 14

16 5 Value Impact to an Enterprie 5.1 Meaurability Aet renewal i generally the reult of a traditional capital budgeting proce, and, a we have already noted, planned replacement timing generally i not efficient. However, we cannot etimate the magnitude of that inefficiency for any enterprie imply by examining it financial tatement, or even from detailed exiting accounting data. o the extent that M(t) i not being continuouly monitored and manager are not aware of the threhold indicated by equation 3.3, the efficient replacement policy of Figure 1 will generally not be realized. Although there are now individual phyical aet accounting ytem that can digitally track all kind of cot data at the individual aet level, they are not preently being ued to record all the contituent of M(t) decribed in Section 3.1, hence the loe in efficiency predicted by Figure 1 are not being monitored (continuouly or otherwie). Once M(t) i defined and continuouly monitored, it would be poible to meaure exiting deficit of M(t) over M() and any urplue of M(t) under M() for aet about to be replaced. hi would allow approximation of the preent value cot impact of a policy that aim to eliminate uch deficit and urplue Magnitude Earlier, we ued an example of a power utility that might be experiencing 10 percent exce cot aociated with machinery and equipment. In that example, we referred only to repair and replacement cot, but we now know that the inefficiency affect any operational cot aociated with phyical aet. he following analyi provide ome bai for that 10 percent aumption. In equation 3.2, we equated the calendar year value of M(t) with a et of term at the efficient replacement time : 3.2 M ( ) = ic + C (1 + i) + t= 1 M ( t) v t 15

17 In thi ection, we introduce another interpretation of the term on the right ide of equation 3.2. he um of thee term repreent an equivalent annual level amount in perpetuity, which i minimized at the efficient time. For other value of, the equality in equation 3.2 i not true. In other word, thi equivalent annual amount, let u call it A(), i not equal to M() for value of other than. Equation 3.2 i generalized a follow: 5.1 A( ) = ic + C (1 + i) + t= 1 M ( t) v t Now we can ay that the preent value of an efficient enterprie policy baed on equation 3.2 i equal to M()/i and that the preent value of an (inefficient) enterprie policy baed on equation 5.1 (where i not ) i equal to A()/i. he preent value impact of a tranition from an inefficient policy to an efficient policy would be the difference between the preent value of thee two perpetuitie. We then aume that a firm i uing a five-year payback approach to jutify the replacement of the phyical aet, which correpond to M(t)=0.2C at replacement time and if we let i=4.5 percent, C=1000, and decribe M(t) uing the following polynomial: 3 M t = at + bt + ct + dt + et ( ) Where the coefficient equal: a b c d e One can plot equation 3.2 and 5.1 to how that =22 year, M()=83 and A() =89 at =26 year where M(26)=200. hi repreent about a 7 percent increae in the preent value cot impact due to the inefficient five-year payback replacement policy. Becaue of the extreme convexity of M(t) in thi example, a five-year payback policy that i not prompt, reulting in an additional deferral of only four more year (to =30), would reult in A()=104, which 3. hi i the formula that wa ued for M(t) in Figure 1. 16

18 repreent about a 25 percent increae in the preent value cot impact due to an inefficient replacement policy. If we replace the polynomial ued for M(t) by a traight line (no convexity): 5.3 M ( t) = t Performing the ame calculation baed on equation 3.2 and 5.1, we how that =23 year, M()=90 and A()=121 at =51 year where M(51)=200. hi repreent about a 34 percent increae in the preent value cot impact due to an inefficient replacement policy. Becaue there i no convexity of M(t) in thi example, a policy reulting in additional deferral of a few more year would not reult in a ignificant increae in the preent value cot impact due to an inefficient replacement policy. In thi example, the function ued to model M(t) in equation 5.2 and 5.3 were elected to create reaonable value of at typical value of i and becaue they repreent extreme of convexity in M(t) with which to bracket a range of potential preent value cot impact. Convexity i the one characteritic of M(t) for which we have the leat obtainable information. he value of C i arbitrary. A firm uing a five-year payback approach for aet renewal deciion realize a preent value cot impact that i from 7 percent to 34 percent higher than the efficient level. hi exce would be only for cot aociated with phyical aet that are uceptible to replacement, uch a capital equipment. Since many of the contituent of M(t) are not being continuouly monitored, the five-year payback approach ued in thi example i not likely to be prompt, even with repect to it own benchmark. he 10 percent inefficiency aumption ued in the power utility example i at the lower end of thi range and may be generou. 17

19 6 Infratructure Service Contract (ISC) In enterprie rik management, there i a lack of appropriate rik tranfer mechanim for operational rik. In thi paper, we are uggeting the deliberate creation of volatile, riky cah flow in order to achieve a higher level of operational efficiency. Fortunately, there already exit an intitution for tranferring uch rik. We have mentioned the potential ue of extended ervice contract to implement uch a phyical aet management policy. hi ection erve a an introduction to uch contract for facilitie and infratructure, and intend to provide ome hitorical background on the environment in which the above theory wa conceived. A there are extended ervice contract for home and vehicle, o there are long duration repair and replacement agreement for whole indutrial facilitie and public infratructure. Unlike their home and vehicle counterpart, uch extended warrantie for facilitie and infratructure do not exit a tand-alone product. Rather, they are underwritten in the limited context of non-inurance entitie providing entire railway, water treatment plant, power plant or other large enemble of phyical aet. Contract in which ingle entitie provide integrated engineering, procurement, contruction, operation, routine maintenance, repair and replacement ervice to deliver and run new facilitie and infratructure may have firt come into exitence in the 1980 and poibly much earlier if one include public-private partnerhip for public utility infratructure that date back to the late 19 th century. Companie pecializing in one or more of the above ervice uually mut form conortium to meet the wide cope of reponibilitie required under uch contract. Contract term can be a long a 50 year and entitie providing thee ervice aume mot of the functional role of the owner of the facility. hi integrated uite of ervice, including repair and replacement, i not the uual way to deliver infratructure. In the United State, it applie to le than 1 percent of new facilitie. However, ueful principle regarding planning of capital expenditure and method for projecting loe and expene aociated with repair and replacement obligation have been developed during negotiation among partie eeking to tranfer thee uncertain cah flow. hee principle and method apply to all phyical aet, whether or not covered by uch contract. We refer to the entitie decribed above a ervice provider. hey have a direct contractual relationhip with the facility owner to provide a wide range of ervice including repair and replacement of capital aet. he facility owner i the contract holder and i uually a utility, municipality or tranportation authority. Replacement of phyical aet uually refer to the replacement of a whole item of capital equipment or a tructure, uch a machinery or a building. Service provider are reponible for complete facility maintenance including routine maintenance, repair and replacement of phyical aet. he agreement to provide repair and replacement ervice i a part of a larger offering of ervice and i now often et forth in ditinct article within uch contract. In the pat, thee obligation were informally agreed to and not meticulouly documented. Recently, a thi infratructure delivery method ha gained 18

20 traction in the United State, attorney have attempted to formalize repair and replacement obligation. Spelling out thee obligation ha forced negotiating partie to explicitly conider the economic apect that the contract mut capture for an equitable tranfer of rik and fair pricing. In thi paper, only the long duration repair and replacement obligation under uch contract are referred to a infratructure ervice contract (ISC). hi definition, unique to thi paper, allow u to eparate and focu only on the ervice that are a very near counterpart to home and vehicle extended ervice contract with which they hare many imilaritie. Manufacturer of capital equipment have alo provided extended ervice contract covering repair and replacement aociated with their product. hi i partly in repone to the need of ervice provider who wih to tranfer thee rik and manufacturer willingne to aume uch rik in order to ell capital equipment. A manufacturer will often provide an extended ervice contract, which matche the duration and requirement of the ervice provider contract with facility owner. A with their home and vehicle counterpart, the expoure to rik in ISC varie ignificantly during the contract period, and pro rata earning of ervice fee doe not provide a match between income and liabilitie. In addition, ervice fee are uually not received in proportion to the level of expoure to rik. Unlike their home and vehicle counterpart, earning pattern are not eaily predicted by traditional property and caualty method uing data triangle. here i little hitorical lo data, and the tail for uch coverage can be far longer than thee contract have been in exitence. he entitie that underwrite ISC are not inurance companie. o our knowledge, inurer are not involved in underwriting long duration repair and replacement rik aociated with indutrial and public infratructure. here are everal reaon for thi, which will be dicued later. Facility owner tranfer thee rik to ervice provider. hen ervice provider tranfer ome of thee rik to manufacturer. In both of thee tranaction, the underwriting of repair and replacement loe i alway only a portion of the total ervice rendered. Beyond the ervice provider and manufacturer, there i no further place to tranfer thi rik. 6.1 ypical Feature of the ISC In an ISC, the ervice provider agree to repair or replace phyical aet during the term of the contract. Becaue of the long term of thee contract, a large proportion of the covered capital equipment in a facility may be replaced, perhap multiple time. Repair are an important part of the cope of an ISC, but the majority of loe and expene arie from the contract replacement obligation. he timing of replacement deciion i critical to projecting lo cot for thi coverage. In ome ISC, the language controlling timing of equipment replacement i very precriptive. In other, the ervice provider i eentially a conceionaire (owner) of the facility during the term of the contract, and ince maintenance cot are fully internalized by the ervice provider, the deciion of when to replace an item of capital equipment i left to the ervice provider dicretion. 19

21 Some contract tipulate a required phyical condition of the facility at the end of the contract term. hi can be pecified a a threhold minimum weighted average ueful life of covered facility capital equipment at the end of the contract term, in which etimated equipment replacement cot weight etimate of remaining ueful equipment life, a determined by a facility condition aement. Some contract ue verbal threhold to decribe the minimum required phyical condition of equipment and tructure at the end of the term. If the facility doe not meet thee qualitative decription, then the ervice provider mut make all repair, replacement or cah payment neceary to remedy the deficiencie. he ervice provider uually cannot terminate the contract for convenience, nor modify the ervice fee during the term of the contract. he ervice fee can be automatically indexed for inflation. An indexing formula i uually a pre-negotiated part of the contract, not ubject to modification after the contract i executed. Common indexe ued are a weighted combination of Conumer Price Index (CPI), Employment Cot Index (ECI) and other indexe publihed by the Bureau of Labor Statitic (BLS). A with their automobile and home counterpart, ISC are econdary to hort-term warrantie againt defect in workmanhip provided by the equipment manufacturer (original equipment manufacturer or OEM) or equipment eller. However, thi i mall comfort to the ervice provider who eentially provide a warranty many time longer than the OEM warranty. OEM warrantie for capital equipment can typically lat 18 month from delivery or 12 month from time of ue, whichever come firt. hi period i mall compared to the 10- to 50-year term of ISC. Some contract alo include a negotiated lit of major equipment ubject to replacement obligation. Each item of equipment may have a cap for replacement cot reimburement to the ervice provider, but replacement obligation are limited to thoe item on the lit. Another poible contractual arrangement i to leave the level of aggregation of the phyical aet to the ole dicretion of the contract holder for purpoe of triggering the contract replacement obligation. For example, a contract holder could decide to define the engine of the aircraft mentioned in Section 1 a a ingle aet at the time of determination that the M(t) cot aociated only with that aet have exceeded the threhold value of equation 3.3. he ability to do thi depend on the level of detail with which M(t) i recorded in the enterprie accounting ytem. ISC uually do not have explicit ervice fee. Coverage i often bundled a a part of a larger ervice fee for ongoing operation and maintenance ervice. Fee can be paid a a level monthly amount (ubject only to indexing a decribed above) over the contract term. Alternatively, ome fee payment tructure eparate the ISC (repair and replacement) component from the total ervice fee and try to match fee payment with the expected emergence of loe. he latter payment method implicitly recognize that new infratructure will probably not incur ignificant repair and replacement loe until decade after the beginning of the contract. he contract holder uually requet thi, ince ISC normally do not have proviion for the refund of unearned ervice fee hould the owner decide to cancel the contract prematurely. 20

22 ISC alo exit for older facilitie. hee contract are rikier for ervice provider, ince the condition of the facility i difficult to ae without a cotly inpection that mut be conducted prior to bidding on uch ervice. Unlike ervice contract for new facilitie, thee are uually underwritten only by companie providing complete operation and maintenance ervice for the old facility. Manufacturer will eldom underwrite uncheduled maintenance obligation on old capital equipment that ha been in operation for a while. Level ervice fee are uually charged throughout the life of the contract, indexed for inflation but with no other modification. Becaue the fee aociated with ISC can be high (ranging from $100,000 to $25 million per year), the coniderable time and expene of underwriting, which involve item-by-item etimation of aet replacement cot, i jutified. 6.2 Ditortion on Incentive in ISC he conceptual model of ection 2 and 3 try to approach capital planning aociated with repair and replacement from the rational perpective of the facility owner. Care mut be taken in the contract language to inure that the incentive of the ervice provider enhance and protect the interet of the facility owner Finite erm of ISC he dicuion o far ha focued on an analyi of cah flow in perpetuity. hi may be true for the owner who view the facility a a going concern. However, ISC have finite term, and ervice provider do not expect to continue repair and replacement obligation pat the end of thoe term. In many cae, the contract term i only about a long a, or low multiple of, the average expected life of capital equipment in a facility. he finite planning horizon of the ervice provider could encourage behavior, near the end of a contract term, to defer expenive replacement in favor of continued repair. hee repair may be le cotly to the ervice provider who i planning to leave the facility oon. he owner may be left with a facility that i functional but require a higher level of repair. In other word, at the end of the contract term, the owner may be left with a facility full of old equipment that need replacement Whoe Cot of Capital? In the econd conceptual model of Section 3, we derived a rule that tell u that the optimal time for replacement for mot type of capital equipment i when increaing M(t) croe a threhold proportional to the product of the cot of capital and the all-in cot of replacement (ic). However, if the cot of capital for a contract holder, who iue municipal bond, i about 4.5 percent, the cot of capital for a ervice provider i 7 percent and the cot of capital for a manufacturer who relie motly on equity capital i 10 percent, then there i clearly a mimatch of optimal replacement timing implied by equation 3.3 or 3.4. Entitie with the higher cot of capital will rationally defer replacement deciion, compared to thoe with the lower cot of capital. Unle there i an objective contractual trigger for replacement that explicitly recognize which cot of capital to ue, thi mimatch may have a deleteriou impact on the contract holder interet. 21

Unit 11 Using Linear Regression to Describe Relationships

Unit 11 Using Linear Regression to Describe Relationships Unit 11 Uing Linear Regreion to Decribe Relationhip Objective: To obtain and interpret the lope and intercept of the leat quare line for predicting a quantitative repone variable from a quantitative explanatory

More information

FEDERATION OF ARAB SCIENTIFIC RESEARCH COUNCILS

FEDERATION OF ARAB SCIENTIFIC RESEARCH COUNCILS Aignment Report RP/98-983/5/0./03 Etablihment of cientific and technological information ervice for economic and ocial development FOR INTERNAL UE NOT FOR GENERAL DITRIBUTION FEDERATION OF ARAB CIENTIFIC

More information

Project Management Basics

Project Management Basics Project Management Baic A Guide to undertanding the baic component of effective project management and the key to ucce 1 Content 1.0 Who hould read thi Guide... 3 1.1 Overview... 3 1.2 Project Management

More information

The Cash Flow Statement: Problems with the Current Rules

The Cash Flow Statement: Problems with the Current Rules A C C O U N T I N G & A U D I T I N G accounting The Cah Flow Statement: Problem with the Current Rule By Neii S. Wei and Jame G.S. Yang In recent year, the tatement of cah flow ha received increaing attention

More information

Queueing systems with scheduled arrivals, i.e., appointment systems, are typical for frontal service systems,

Queueing systems with scheduled arrivals, i.e., appointment systems, are typical for frontal service systems, MANAGEMENT SCIENCE Vol. 54, No. 3, March 28, pp. 565 572 in 25-199 ein 1526-551 8 543 565 inform doi 1.1287/mnc.17.82 28 INFORMS Scheduling Arrival to Queue: A Single-Server Model with No-Show INFORMS

More information

A technical guide to 2014 key stage 2 to key stage 4 value added measures

A technical guide to 2014 key stage 2 to key stage 4 value added measures A technical guide to 2014 key tage 2 to key tage 4 value added meaure CONTENTS Introduction: PAGE NO. What i value added? 2 Change to value added methodology in 2014 4 Interpretation: Interpreting chool

More information

Chapter 10 Stocks and Their Valuation ANSWERS TO END-OF-CHAPTER QUESTIONS

Chapter 10 Stocks and Their Valuation ANSWERS TO END-OF-CHAPTER QUESTIONS Chapter Stoc and Their Valuation ANSWERS TO EN-OF-CHAPTER QUESTIONS - a. A proxy i a document giving one peron the authority to act for another, typically the power to vote hare of common toc. If earning

More information

Profitability of Loyalty Programs in the Presence of Uncertainty in Customers Valuations

Profitability of Loyalty Programs in the Presence of Uncertainty in Customers Valuations Proceeding of the 0 Indutrial Engineering Reearch Conference T. Doolen and E. Van Aken, ed. Profitability of Loyalty Program in the Preence of Uncertainty in Cutomer Valuation Amir Gandomi and Saeed Zolfaghari

More information

your Rights Consumer Guarantees Understanding Consumer Electronic Devices, Home Appliances & Home Entertainment Products

your Rights Consumer Guarantees Understanding Consumer Electronic Devices, Home Appliances & Home Entertainment Products Conumer Guarantee Undertanding your Right Conumer Electronic Device, Home Appliance & Home Entertainment Product Voluntary Warranty Guide February 2014 JB Hi-Fi Group Pty Ltd (ABN 37 093 II4 286) The Autralian

More information

Assessing the Discriminatory Power of Credit Scores

Assessing the Discriminatory Power of Credit Scores Aeing the Dicriminatory Power of Credit Score Holger Kraft 1, Gerald Kroiandt 1, Marlene Müller 1,2 1 Fraunhofer Intitut für Techno- und Wirtchaftmathematik (ITWM) Gottlieb-Daimler-Str. 49, 67663 Kaierlautern,

More information

2. METHOD DATA COLLECTION

2. METHOD DATA COLLECTION Key to learning in pecific ubject area of engineering education an example from electrical engineering Anna-Karin Cartenen,, and Jonte Bernhard, School of Engineering, Jönköping Univerity, S- Jönköping,

More information

Redesigning Ratings: Assessing the Discriminatory Power of Credit Scores under Censoring

Redesigning Ratings: Assessing the Discriminatory Power of Credit Scores under Censoring Redeigning Rating: Aeing the Dicriminatory Power of Credit Score under Cenoring Holger Kraft, Gerald Kroiandt, Marlene Müller Fraunhofer Intitut für Techno- und Wirtchaftmathematik (ITWM) Thi verion: June

More information

Morningstar Fixed Income Style Box TM Methodology

Morningstar Fixed Income Style Box TM Methodology Morningtar Fixed Income Style Box TM Methodology Morningtar Methodology Paper Augut 3, 00 00 Morningtar, Inc. All right reerved. The information in thi document i the property of Morningtar, Inc. Reproduction

More information

Growth and Sustainability of Managed Security Services Networks: An Economic Perspective

Growth and Sustainability of Managed Security Services Networks: An Economic Perspective Growth and Sutainability of Managed Security Service etwork: An Economic Perpective Alok Gupta Dmitry Zhdanov Department of Information and Deciion Science Univerity of Minneota Minneapoli, M 55455 (agupta,

More information

Is Mark-to-Market Accounting Destabilizing? Analysis and Implications for Policy

Is Mark-to-Market Accounting Destabilizing? Analysis and Implications for Policy Firt draft: 4/12/2008 I Mark-to-Market Accounting Detabilizing? Analyi and Implication for Policy John Heaton 1, Deborah Luca 2 Robert McDonald 3 Prepared for the Carnegie Rocheter Conference on Public

More information

Growth and Sustainability of Managed Security Services Networks: An Economic Perspective

Growth and Sustainability of Managed Security Services Networks: An Economic Perspective Growth and Sutainability of Managed Security Service etwork: An Economic Perpective Alok Gupta Dmitry Zhdanov Department of Information and Deciion Science Univerity of Minneota Minneapoli, M 55455 (agupta,

More information

QUANTIFYING THE BULLWHIP EFFECT IN THE SUPPLY CHAIN OF SMALL-SIZED COMPANIES

QUANTIFYING THE BULLWHIP EFFECT IN THE SUPPLY CHAIN OF SMALL-SIZED COMPANIES Sixth LACCEI International Latin American and Caribbean Conference for Engineering and Technology (LACCEI 2008) Partnering to Succe: Engineering, Education, Reearch and Development June 4 June 6 2008,

More information

Office of Tax Analysis U.S. Department of the Treasury. A Dynamic Analysis of Permanent Extension of the President s Tax Relief

Office of Tax Analysis U.S. Department of the Treasury. A Dynamic Analysis of Permanent Extension of the President s Tax Relief Office of Tax Analyi U.S. Department of the Treaury A Dynamic Analyi of Permanent Extenion of the Preident Tax Relief July 25, 2006 Executive Summary Thi Report preent a detailed decription of Treaury

More information

A Note on Profit Maximization and Monotonicity for Inbound Call Centers

A Note on Profit Maximization and Monotonicity for Inbound Call Centers OPERATIONS RESEARCH Vol. 59, No. 5, September October 2011, pp. 1304 1308 in 0030-364X ein 1526-5463 11 5905 1304 http://dx.doi.org/10.1287/opre.1110.0990 2011 INFORMS TECHNICAL NOTE INFORMS hold copyright

More information

naifa Members: SERVING AMERICA S NEIGHBORHOODS FOR 120 YEARS

naifa Members: SERVING AMERICA S NEIGHBORHOODS FOR 120 YEARS naifa Member: SERVING AMERICA S NEIGHBORHOODS FOR 120 YEARS National Aociation of Inurance and Financial Advior Serving America Neigborhood for Over 120 Year Since 1890, NAIFA ha worked to afeguard the

More information

Capital Investment. Decisions: An Overview Appendix. Introduction. Analyzing Cash Flows for Present Value Analysis

Capital Investment. Decisions: An Overview Appendix. Introduction. Analyzing Cash Flows for Present Value Analysis f. Capital Invetment Deciion: An Overview Appendix Introduction Capital invetment deciion are the reponibility of manager of invetment center (ee Chapter 12). The analyi of capital invetment deciion i

More information

RISK MANAGEMENT POLICY

RISK MANAGEMENT POLICY RISK MANAGEMENT POLICY The practice of foreign exchange (FX) rik management i an area thrut into the potlight due to the market volatility that ha prevailed for ome time. A a conequence, many corporation

More information

MSc Financial Economics: International Finance. Bubbles in the Foreign Exchange Market. Anne Sibert. Revised Spring 2013. Contents

MSc Financial Economics: International Finance. Bubbles in the Foreign Exchange Market. Anne Sibert. Revised Spring 2013. Contents MSc Financial Economic: International Finance Bubble in the Foreign Exchange Market Anne Sibert Revied Spring 203 Content Introduction................................................. 2 The Mone Market.............................................

More information

REDUCTION OF TOTAL SUPPLY CHAIN CYCLE TIME IN INTERNAL BUSINESS PROCESS OF REAMER USING DOE AND TAGUCHI METHODOLOGY. Abstract. 1.

REDUCTION OF TOTAL SUPPLY CHAIN CYCLE TIME IN INTERNAL BUSINESS PROCESS OF REAMER USING DOE AND TAGUCHI METHODOLOGY. Abstract. 1. International Journal of Advanced Technology & Engineering Reearch (IJATER) REDUCTION OF TOTAL SUPPLY CHAIN CYCLE TIME IN INTERNAL BUSINESS PROCESS OF REAMER USING DOE AND Abtract TAGUCHI METHODOLOGY Mr.

More information

Risk Management for a Global Supply Chain Planning under Uncertainty: Models and Algorithms

Risk Management for a Global Supply Chain Planning under Uncertainty: Models and Algorithms Rik Management for a Global Supply Chain Planning under Uncertainty: Model and Algorithm Fengqi You 1, John M. Waick 2, Ignacio E. Gromann 1* 1 Dept. of Chemical Engineering, Carnegie Mellon Univerity,

More information

CHARACTERISTICS OF WAITING LINE MODELS THE INDICATORS OF THE CUSTOMER FLOW MANAGEMENT SYSTEMS EFFICIENCY

CHARACTERISTICS OF WAITING LINE MODELS THE INDICATORS OF THE CUSTOMER FLOW MANAGEMENT SYSTEMS EFFICIENCY Annale Univeritati Apuleni Serie Oeconomica, 2(2), 200 CHARACTERISTICS OF WAITING LINE MODELS THE INDICATORS OF THE CUSTOMER FLOW MANAGEMENT SYSTEMS EFFICIENCY Sidonia Otilia Cernea Mihaela Jaradat 2 Mohammad

More information

MBA 570x Homework 1 Due 9/24/2014 Solution

MBA 570x Homework 1 Due 9/24/2014 Solution MA 570x Homework 1 Due 9/24/2014 olution Individual work: 1. Quetion related to Chapter 11, T Why do you think i a fund of fund market for hedge fund, but not for mutual fund? Anwer: Invetor can inexpenively

More information

Bi-Objective Optimization for the Clinical Trial Supply Chain Management

Bi-Objective Optimization for the Clinical Trial Supply Chain Management Ian David Lockhart Bogle and Michael Fairweather (Editor), Proceeding of the 22nd European Sympoium on Computer Aided Proce Engineering, 17-20 June 2012, London. 2012 Elevier B.V. All right reerved. Bi-Objective

More information

INFORMATION Technology (IT) infrastructure management

INFORMATION Technology (IT) infrastructure management IEEE TRANSACTIONS ON CLOUD COMPUTING, VOL. 2, NO. 1, MAY 214 1 Buine-Driven Long-term Capacity Planning for SaaS Application David Candeia, Ricardo Araújo Santo and Raquel Lope Abtract Capacity Planning

More information

Sector Concentration in Loan Portfolios and Economic Capital. Abstract

Sector Concentration in Loan Portfolios and Economic Capital. Abstract Sector Concentration in Loan Portfolio and Economic Capital Klau Düllmann and Nancy Machelein 2 Thi verion: September 2006 Abtract The purpoe of thi paper i to meaure the potential impact of buine-ector

More information

1 Introduction. Reza Shokri* Privacy Games: Optimal User-Centric Data Obfuscation

1 Introduction. Reza Shokri* Privacy Games: Optimal User-Centric Data Obfuscation Proceeding on Privacy Enhancing Technologie 2015; 2015 (2):1 17 Reza Shokri* Privacy Game: Optimal Uer-Centric Data Obfucation Abtract: Conider uer who hare their data (e.g., location) with an untruted

More information

Optical Illusion. Sara Bolouki, Roger Grosse, Honglak Lee, Andrew Ng

Optical Illusion. Sara Bolouki, Roger Grosse, Honglak Lee, Andrew Ng Optical Illuion Sara Bolouki, Roger Groe, Honglak Lee, Andrew Ng. Introduction The goal of thi proect i to explain ome of the illuory phenomena uing pare coding and whitening model. Intead of the pare

More information

DISTRIBUTED DATA PARALLEL TECHNIQUES FOR CONTENT-MATCHING INTRUSION DETECTION SYSTEMS

DISTRIBUTED DATA PARALLEL TECHNIQUES FOR CONTENT-MATCHING INTRUSION DETECTION SYSTEMS DISTRIBUTED DATA PARALLEL TECHNIQUES FOR CONTENT-MATCHING INTRUSION DETECTION SYSTEMS Chritopher V. Kopek Department of Computer Science Wake Foret Univerity Winton-Salem, NC, 2709 Email: kopekcv@gmail.com

More information

SCM- integration: organiational, managerial and technological iue M. Caridi 1 and A. Sianei 2 Dipartimento di Economia e Produzione, Politecnico di Milano, Italy E-mail: maria.caridi@polimi.it Itituto

More information

DISTRIBUTED DATA PARALLEL TECHNIQUES FOR CONTENT-MATCHING INTRUSION DETECTION SYSTEMS. G. Chapman J. Cleese E. Idle

DISTRIBUTED DATA PARALLEL TECHNIQUES FOR CONTENT-MATCHING INTRUSION DETECTION SYSTEMS. G. Chapman J. Cleese E. Idle DISTRIBUTED DATA PARALLEL TECHNIQUES FOR CONTENT-MATCHING INTRUSION DETECTION SYSTEMS G. Chapman J. Cleee E. Idle ABSTRACT Content matching i a neceary component of any ignature-baed network Intruion Detection

More information

A Resolution Approach to a Hierarchical Multiobjective Routing Model for MPLS Networks

A Resolution Approach to a Hierarchical Multiobjective Routing Model for MPLS Networks A Reolution Approach to a Hierarchical Multiobjective Routing Model for MPLS Networ Joé Craveirinha a,c, Rita Girão-Silva a,c, João Clímaco b,c, Lúcia Martin a,c a b c DEEC-FCTUC FEUC INESC-Coimbra International

More information

Queueing Models for Multiclass Call Centers with Real-Time Anticipated Delays

Queueing Models for Multiclass Call Centers with Real-Time Anticipated Delays Queueing Model for Multicla Call Center with Real-Time Anticipated Delay Oualid Jouini Yve Dallery Zeynep Akşin Ecole Centrale Pari Koç Univerity Laboratoire Génie Indutriel College of Adminitrative Science

More information

Apigee Edge: Apigee Cloud vs. Private Cloud. Evaluating deployment models for API management

Apigee Edge: Apigee Cloud vs. Private Cloud. Evaluating deployment models for API management Apigee Edge: Apigee Cloud v. Private Cloud Evaluating deployment model for API management Table of Content Introduction 1 Time to ucce 2 Total cot of ownerhip 2 Performance 3 Security 4 Data privacy 4

More information

A note on profit maximization and monotonicity for inbound call centers

A note on profit maximization and monotonicity for inbound call centers A note on profit maximization and monotonicity for inbound call center Ger Koole & Aue Pot Department of Mathematic, Vrije Univeriteit Amterdam, The Netherland 23rd December 2005 Abtract We conider an

More information

v = x t = x 2 x 1 t 2 t 1 The average speed of the particle is absolute value of the average velocity and is given Distance travelled t

v = x t = x 2 x 1 t 2 t 1 The average speed of the particle is absolute value of the average velocity and is given Distance travelled t Chapter 2 Motion in One Dimenion 2.1 The Important Stuff 2.1.1 Poition, Time and Diplacement We begin our tudy of motion by conidering object which are very mall in comparion to the ize of their movement

More information

Progress 8 measure in 2016, 2017, and 2018. Guide for maintained secondary schools, academies and free schools

Progress 8 measure in 2016, 2017, and 2018. Guide for maintained secondary schools, academies and free schools Progre 8 meaure in 2016, 2017, and 2018 Guide for maintained econdary chool, academie and free chool July 2016 Content Table of figure 4 Summary 5 A ummary of Attainment 8 and Progre 8 5 Expiry or review

More information

Availability of WDM Multi Ring Networks

Availability of WDM Multi Ring Networks Paper Availability of WDM Multi Ring Network Ivan Rado and Katarina Rado H d.o.o. Motar, Motar, Bonia and Herzegovina Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Univerity

More information

Health Insurance and Social Welfare. Run Liang. China Center for Economic Research, Peking University, Beijing 100871, China,

Health Insurance and Social Welfare. Run Liang. China Center for Economic Research, Peking University, Beijing 100871, China, Health Inurance and Social Welfare Run Liang China Center for Economic Reearch, Peking Univerity, Beijing 100871, China, Email: rliang@ccer.edu.cn and Hao Wang China Center for Economic Reearch, Peking

More information

Return on Investment and Effort Expenditure in the Software Development Environment

Return on Investment and Effort Expenditure in the Software Development Environment International Journal of Applied Information ytem (IJAI) IN : 2249-0868 Return on Invetment and Effort Expenditure in the oftware Development Environment Dineh Kumar aini Faculty of Computing and IT, ohar

More information

Utility-Based Flow Control for Sequential Imagery over Wireless Networks

Utility-Based Flow Control for Sequential Imagery over Wireless Networks Utility-Baed Flow Control for Sequential Imagery over Wirele Networ Tomer Kihoni, Sara Callaway, and Mar Byer Abtract Wirele enor networ provide a unique et of characteritic that mae them uitable for building

More information

Name: SID: Instructions

Name: SID: Instructions CS168 Fall 2014 Homework 1 Aigned: Wedneday, 10 September 2014 Due: Monday, 22 September 2014 Name: SID: Dicuion Section (Day/Time): Intruction - Submit thi homework uing Pandagrader/GradeScope(http://www.gradecope.com/

More information

TRADING rules are widely used in financial market as

TRADING rules are widely used in financial market as Complex Stock Trading Strategy Baed on Particle Swarm Optimization Fei Wang, Philip L.H. Yu and David W. Cheung Abtract Trading rule have been utilized in the tock market to make profit for more than a

More information

Two Dimensional FEM Simulation of Ultrasonic Wave Propagation in Isotropic Solid Media using COMSOL

Two Dimensional FEM Simulation of Ultrasonic Wave Propagation in Isotropic Solid Media using COMSOL Excerpt from the Proceeding of the COMSO Conference 0 India Two Dimenional FEM Simulation of Ultraonic Wave Propagation in Iotropic Solid Media uing COMSO Bikah Ghoe *, Krihnan Balaubramaniam *, C V Krihnamurthy

More information

Socially Optimal Pricing of Cloud Computing Resources

Socially Optimal Pricing of Cloud Computing Resources Socially Optimal Pricing of Cloud Computing Reource Ihai Menache Microoft Reearch New England Cambridge, MA 02142 t-imena@microoft.com Auman Ozdaglar Laboratory for Information and Deciion Sytem Maachuett

More information

Partial optimal labeling search for a NP-hard subclass of (max,+) problems

Partial optimal labeling search for a NP-hard subclass of (max,+) problems Partial optimal labeling earch for a NP-hard ubcla of (max,+) problem Ivan Kovtun International Reearch and Training Center of Information Technologie and Sytem, Kiev, Uraine, ovtun@image.iev.ua Dreden

More information

How To Understand The Hort Term Power Market

How To Understand The Hort Term Power Market Short-term allocation of ga network and ga-electricity input forecloure Miguel Vazquez a,, Michelle Hallack b a Economic Intitute (IE), Federal Univerity of Rio de Janeiro (UFRJ) b Economic Department,

More information

Laureate Network Products & Services Copyright 2013 Laureate Education, Inc.

Laureate Network Products & Services Copyright 2013 Laureate Education, Inc. Laureate Network Product & Service Copyright 2013 Laureate Education, Inc. KEY Coure Name Laureate Faculty Development...3 Laureate Englih Program...9 Language Laureate Signature Product...12 Length Laureate

More information

TIME SERIES ANALYSIS AND TRENDS BY USING SPSS PROGRAMME

TIME SERIES ANALYSIS AND TRENDS BY USING SPSS PROGRAMME TIME SERIES ANALYSIS AND TRENDS BY USING SPSS PROGRAMME RADMILA KOCURKOVÁ Sileian Univerity in Opava School of Buine Adminitration in Karviná Department of Mathematical Method in Economic Czech Republic

More information

Four Ways Companies Can Use Open Source Social Publishing Tools to Enhance Their Business Operations

Four Ways Companies Can Use Open Source Social Publishing Tools to Enhance Their Business Operations Four Way Companie Can Ue Open Source Social Publihing Tool to Enhance Their Buine Operation acquia.com 888.922.7842 1.781.238.8600 25 Corporate Drive, Burlington, MA 01803 Four Way Companie Can Ue Open

More information

Support Vector Machine Based Electricity Price Forecasting For Electricity Markets utilising Projected Assessment of System Adequacy Data.

Support Vector Machine Based Electricity Price Forecasting For Electricity Markets utilising Projected Assessment of System Adequacy Data. The Sixth International Power Engineering Conference (IPEC23, 27-29 November 23, Singapore Support Vector Machine Baed Electricity Price Forecating For Electricity Maret utiliing Projected Aement of Sytem

More information

POSSIBILITIES OF INDIVIDUAL CLAIM RESERVE RISK MODELING

POSSIBILITIES OF INDIVIDUAL CLAIM RESERVE RISK MODELING POSSIBILITIES OF INDIVIDUAL CLAIM RESERVE RISK MODELING Pavel Zimmermann * 1. Introduction A ignificant increae in demand for inurance and financial rik quantification ha occurred recently due to the fact

More information

HUMAN CAPITAL AND THE FUTURE OF TRANSITION ECONOMIES * Michael Spagat Royal Holloway, University of London, CEPR and Davidson Institute.

HUMAN CAPITAL AND THE FUTURE OF TRANSITION ECONOMIES * Michael Spagat Royal Holloway, University of London, CEPR and Davidson Institute. HUMAN CAPITAL AND THE FUTURE OF TRANSITION ECONOMIES * By Michael Spagat Royal Holloway, Univerity of London, CEPR and Davidon Intitute Abtract Tranition economie have an initial condition of high human

More information

Global Imbalances or Bad Accounting? The Missing Dark Matter in the Wealth of Nations. Ricardo Hausmann and Federico Sturzenegger

Global Imbalances or Bad Accounting? The Missing Dark Matter in the Wealth of Nations. Ricardo Hausmann and Federico Sturzenegger Global Imbalance or Bad Accounting? The Miing Dark Matter in the Wealth of Nation Ricardo Haumann and Federico Sturzenegger CID Working Paper No. 124 January 2006 Copyright 2006 Ricardo Haumann, Federico

More information

Software Engineering Management: strategic choices in a new decade

Software Engineering Management: strategic choices in a new decade Software Engineering : trategic choice in a new decade Barbara Farbey & Anthony Finkeltein Univerity College London, Department of Computer Science, Gower St. London WC1E 6BT, UK {b.farbey a.finkeltein}@ucl.ac.uk

More information

Exposure Metering Relating Subject Lighting to Film Exposure

Exposure Metering Relating Subject Lighting to Film Exposure Expoure Metering Relating Subject Lighting to Film Expoure By Jeff Conrad A photographic expoure meter meaure ubject lighting and indicate camera etting that nominally reult in the bet expoure of the film.

More information

6. Friction, Experiment and Theory

6. Friction, Experiment and Theory 6. Friction, Experiment and Theory The lab thi wee invetigate the rictional orce and the phyical interpretation o the coeicient o riction. We will mae ue o the concept o the orce o gravity, the normal

More information

Free Enterprise, the Economy and Monetary Policy

Free Enterprise, the Economy and Monetary Policy Free Enterprie, the Economy and Monetary Policy free (fre) adj. not cont Free enterprie i the freedom of individual and buinee to power of another; at regulation. It enable individual and buinee to create,

More information

Research Article An (s, S) Production Inventory Controlled Self-Service Queuing System

Research Article An (s, S) Production Inventory Controlled Self-Service Queuing System Probability and Statitic Volume 5, Article ID 558, 8 page http://dxdoiorg/55/5/558 Reearch Article An (, S) Production Inventory Controlled Self-Service Queuing Sytem Anoop N Nair and M J Jacob Department

More information

A New Optimum Jitter Protection for Conversational VoIP

A New Optimum Jitter Protection for Conversational VoIP Proc. Int. Conf. Wirele Commun., Signal Proceing (Nanjing, China), 5 pp., Nov. 2009 A New Optimum Jitter Protection for Converational VoIP Qipeng Gong, Peter Kabal Electrical & Computer Engineering, McGill

More information

Control of Wireless Networks with Flow Level Dynamics under Constant Time Scheduling

Control of Wireless Networks with Flow Level Dynamics under Constant Time Scheduling Control of Wirele Network with Flow Level Dynamic under Contant Time Scheduling Long Le and Ravi R. Mazumdar Department of Electrical and Computer Engineering Univerity of Waterloo,Waterloo, ON, Canada

More information

Cluster-Aware Cache for Network Attached Storage *

Cluster-Aware Cache for Network Attached Storage * Cluter-Aware Cache for Network Attached Storage * Bin Cai, Changheng Xie, and Qiang Cao National Storage Sytem Laboratory, Department of Computer Science, Huazhong Univerity of Science and Technology,

More information

Senior Thesis. Horse Play. Optimal Wagers and the Kelly Criterion. Author: Courtney Kempton. Supervisor: Professor Jim Morrow

Senior Thesis. Horse Play. Optimal Wagers and the Kelly Criterion. Author: Courtney Kempton. Supervisor: Professor Jim Morrow Senior Thei Hore Play Optimal Wager and the Kelly Criterion Author: Courtney Kempton Supervior: Profeor Jim Morrow June 7, 20 Introduction The fundamental problem in gambling i to find betting opportunitie

More information

Corporate Tax Aggressiveness and the Role of Debt

Corporate Tax Aggressiveness and the Role of Debt Corporate Tax Aggreivene and the Role of Debt Akankha Jalan, Jayant R. Kale, and Cotanza Meneghetti Abtract We examine the effect of leverage on corporate tax aggreivene. We derive the optimal level of

More information

Brand Equity Net Promoter Scores Versus Mean Scores. Which Presents a Clearer Picture For Action? A Non-Elite Branded University Example.

Brand Equity Net Promoter Scores Versus Mean Scores. Which Presents a Clearer Picture For Action? A Non-Elite Branded University Example. Brand Equity Net Promoter Score Veru Mean Score. Which Preent a Clearer Picture For Action? A Non-Elite Branded Univerity Example Ann Miti, Swinburne Univerity of Technology Patrick Foley, Victoria Univerity

More information

1. Introduction. C. Camisullis 1, V. Giard 2, G. Mendy-Bilek 3

1. Introduction. C. Camisullis 1, V. Giard 2, G. Mendy-Bilek 3 Proceeding of the 3 rd International Conference on Information Sytem, Logitic and Supply Chain Creating value through green upply chain ILS 2010 Caablanca (Morocco), April 14-16 The right information to

More information

Report 4668-1b 30.10.2010. Measurement report. Sylomer - field test

Report 4668-1b 30.10.2010. Measurement report. Sylomer - field test Report 4668-1b Meaurement report Sylomer - field tet Report 4668-1b 2(16) Contet 1 Introduction... 3 1.1 Cutomer... 3 1.2 The ite and purpoe of the meaurement... 3 2 Meaurement... 6 2.1 Attenuation of

More information

Group Mutual Exclusion Based on Priorities

Group Mutual Exclusion Based on Priorities Group Mutual Excluion Baed on Prioritie Karina M. Cenci Laboratorio de Invetigación en Sitema Ditribuido Univeridad Nacional del Sur Bahía Blanca, Argentina kmc@c.un.edu.ar and Jorge R. Ardenghi Laboratorio

More information

Heat transfer to or from a fluid flowing through a tube

Heat transfer to or from a fluid flowing through a tube Heat tranfer to or from a fluid flowing through a tube R. Shankar Subramanian A common ituation encountered by the chemical engineer i heat tranfer to fluid flowing through a tube. Thi can occur in heat

More information

A Spam Message Filtering Method: focus on run time

A Spam Message Filtering Method: focus on run time , pp.29-33 http://dx.doi.org/10.14257/atl.2014.76.08 A Spam Meage Filtering Method: focu on run time Sin-Eon Kim 1, Jung-Tae Jo 2, Sang-Hyun Choi 3 1 Department of Information Security Management 2 Department

More information

Mobile Network Configuration for Large-scale Multimedia Delivery on a Single WLAN

Mobile Network Configuration for Large-scale Multimedia Delivery on a Single WLAN Mobile Network Configuration for Large-cale Multimedia Delivery on a Single WLAN Huigwang Je, Dongwoo Kwon, Hyeonwoo Kim, and Hongtaek Ju Dept. of Computer Engineering Keimyung Univerity Daegu, Republic

More information

1 Looking in the wrong place for healthcare improvements: A system dynamics study of an accident and emergency department

1 Looking in the wrong place for healthcare improvements: A system dynamics study of an accident and emergency department 1 Looking in the wrong place for healthcare improvement: A ytem dynamic tudy of an accident and emergency department DC Lane, C Monefeldt and JV Roenhead - The London School of Economic and Political Science

More information

How Enterprises Can Build Integrated Digital Marketing Experiences Using Drupal

How Enterprises Can Build Integrated Digital Marketing Experiences Using Drupal How Enterprie Can Build Integrated Digital Marketing Experience Uing Drupal acquia.com 888.922.7842 1.781.238.8600 25 Corporate Drive, Burlington, MA 01803 How Enterprie Can Build Integrated Digital Marketing

More information

RO-BURST: A Robust Virtualization Cost Model for Workload Consolidation over Clouds

RO-BURST: A Robust Virtualization Cost Model for Workload Consolidation over Clouds !111! 111!ttthhh IIIEEEEEEEEE///AAACCCMMM IIInnnttteeerrrnnnaaatttiiiooonnnaaalll SSSyyymmmpppoooiiiuuummm ooonnn CCCllluuuttteeerrr,,, CCClllooouuuddd aaannnddd GGGrrriiiddd CCCooommmpppuuutttiiinnnggg

More information

Achieving Quality Through Problem Solving and Process Improvement

Achieving Quality Through Problem Solving and Process Improvement Quality Aurance Methodology Refinement Serie Achieving Quality Through Problem Solving and Proce Improvement Second Edition By Lynne Miller Franco Jeanne Newman Gaël Murphy Elizabeth Mariani Quality Aurance

More information

SHARESYNC SECURITY FEATURES

SHARESYNC SECURITY FEATURES www.kyboxinnovation.com SHARESYNC SECURITY FEATURES ShareSync provide a high degree of ecurity and protection which allow adminitrator to: Aure compliance with ecurity bet practice Get full viibility over

More information

Efficient Pricing and Insurance Coverage in Pharmaceutical Industry when the Ability to Pay Matters

Efficient Pricing and Insurance Coverage in Pharmaceutical Industry when the Ability to Pay Matters ömmföäfläafaäflaflafla fffffffffffffffffffffffffffffffffff Dicuion Paper Efficient Pricing and Inurance Coverage in Pharmaceutical Indutry when the Ability to Pay Matter Vea Kanniainen Univerity of Helinki,

More information

Acceleration-Displacement Crash Pulse Optimisation A New Methodology to Optimise Vehicle Response for Multiple Impact Speeds

Acceleration-Displacement Crash Pulse Optimisation A New Methodology to Optimise Vehicle Response for Multiple Impact Speeds Acceleration-Diplacement Crah Pule Optimiation A New Methodology to Optimie Vehicle Repone for Multiple Impact Speed D. Gildfind 1 and D. Ree 2 1 RMIT Univerity, Department of Aeropace Engineering 2 Holden

More information

Mixed Method of Model Reduction for Uncertain Systems

Mixed Method of Model Reduction for Uncertain Systems SERBIAN JOURNAL OF ELECTRICAL ENGINEERING Vol 4 No June Mixed Method of Model Reduction for Uncertain Sytem N Selvaganean Abtract: A mixed method for reducing a higher order uncertain ytem to a table reduced

More information

Stochastic House Appreciation and Optimal Mortgage Lending

Stochastic House Appreciation and Optimal Mortgage Lending Stochatic Houe Appreciation and Optimal Mortgage Lending Tomaz Pikorki Columbia Buine School tp2252@columbia.edu Alexei Tchityi UC Berkeley Haa tchityi@haa.berkeley.edu December 28 Abtract We characterize

More information

THE IMPACT OF MULTIFACTORIAL GENETIC DISORDERS ON CRITICAL ILLNESS INSURANCE: A SIMULATION STUDY BASED ON UK BIOBANK ABSTRACT KEYWORDS

THE IMPACT OF MULTIFACTORIAL GENETIC DISORDERS ON CRITICAL ILLNESS INSURANCE: A SIMULATION STUDY BASED ON UK BIOBANK ABSTRACT KEYWORDS THE IMPACT OF MULTIFACTORIAL GENETIC DISORDERS ON CRITICAL ILLNESS INSURANCE: A SIMULATION STUDY BASED ON UK BIOBANK BY ANGUS MACDONALD, DELME PRITCHARD AND PRADIP TAPADAR ABSTRACT The UK Biobank project

More information

No. 73,122 MODEL FORM OF VERDICT ITEMIZING PERSONAL INJURY DAMAGES (TORT REFORM ACT OF 1986, S 768.77 F.S. 1987)

No. 73,122 MODEL FORM OF VERDICT ITEMIZING PERSONAL INJURY DAMAGES (TORT REFORM ACT OF 1986, S 768.77 F.S. 1987) CORRECTED OPINION No. 73,122 IN RE: STANDARD JURY INSTRUCTIONS (CIVIL CASES 88-2) [March 2, 19891 PER CURIAM. The Florida Supreme Court Committee on Standard Jury Intruction (Civil) ha recommended to thi

More information

Algorithms for Advance Bandwidth Reservation in Media Production Networks

Algorithms for Advance Bandwidth Reservation in Media Production Networks Algorithm for Advance Bandwidth Reervation in Media Production Network Maryam Barhan 1, Hendrik Moen 1, Jeroen Famaey 2, Filip De Turck 1 1 Department of Information Technology, Ghent Univerity imind Gaton

More information

! Search engines are highly profitable. n 99% of Google s revenue from ads. n Yahoo, bing also uses similar model

! Search engines are highly profitable. n 99% of Google s revenue from ads. n Yahoo, bing also uses similar model Search engine Advertiement The Economic of Web Search! Search engine are highly profitable Revenue come from elling ad related to querie 99% of Google revenue from ad Yahoo, bing alo ue imilar model CS315

More information

An Asset and Liability Management System for Towers Perrin-Tillinghast

An Asset and Liability Management System for Towers Perrin-Tillinghast An Aet and Liability Management Sytem for Tower Perrin-Tillinghat John M. Mulvey Gordon Gould Clive Morgan Department of Operation Reearch and Financial Engineering and Bendheim Center for Finance Princeton

More information

The Import-Export Paradigm for High-Quality College Courses

The Import-Export Paradigm for High-Quality College Courses Public Policy Editor: Stephen Ruth ruth@gmu.edu The Import-Export Paradigm for High-Quality College Coure An Anwer to Tuition Through-the- Roof Cot Spiral? Stephen Ruth George Maon Univerity Three new

More information

CASE STUDY BRIDGE. www.future-processing.com

CASE STUDY BRIDGE. www.future-processing.com CASE STUDY BRIDGE TABLE OF CONTENTS #1 ABOUT THE CLIENT 3 #2 ABOUT THE PROJECT 4 #3 OUR ROLE 5 #4 RESULT OF OUR COLLABORATION 6-7 #5 THE BUSINESS PROBLEM THAT WE SOLVED 8 #6 CHALLENGES 9 #7 VISUAL IDENTIFICATION

More information

Stochasticity in Transcriptional Regulation: Origins, Consequences, and Mathematical Representations

Stochasticity in Transcriptional Regulation: Origins, Consequences, and Mathematical Representations 36 Biophyical Journal Volume 8 December 200 36 336 Stochaticity in Trancriptional Regulation: Origin, Conequence, and Mathematical Repreentation Thoma B. Kepler* and Timothy C. Elton *Santa Fe Intitute,

More information

Unobserved Heterogeneity and Risk in Wage Variance: Does Schooling Provide Earnings Insurance?

Unobserved Heterogeneity and Risk in Wage Variance: Does Schooling Provide Earnings Insurance? TI 011-045/3 Tinbergen Intitute Dicuion Paper Unoberved Heterogeneity and Rik in Wage Variance: Doe Schooling Provide Earning Inurance? Jacopo Mazza Han van Ophem Joop Hartog * Univerity of Amterdam; *

More information

Performance of a Browser-Based JavaScript Bandwidth Test

Performance of a Browser-Based JavaScript Bandwidth Test Performance of a Brower-Baed JavaScript Bandwidth Tet David A. Cohen II May 7, 2013 CP SC 491/H495 Abtract An exiting brower-baed bandwidth tet written in JavaScript wa modified for the purpoe of further

More information

Bidding for Representative Allocations for Display Advertising

Bidding for Representative Allocations for Display Advertising Bidding for Repreentative Allocation for Diplay Advertiing Arpita Ghoh, Preton McAfee, Kihore Papineni, and Sergei Vailvitkii Yahoo! Reearch. {arpita, mcafee, kpapi, ergei}@yahoo-inc.com Abtract. Diplay

More information

License & SW Asset Management at CES Design Services

License & SW Asset Management at CES Design Services Licene & SW Aet Management at CES Deign Service johann.poechl@iemen.com www.ces-deignservice.com 2003 Siemen AG Öterreich Overview 1. Introduction CES Deign Service 2. Objective and Motivation 3. What

More information

Proceedings of Power Tech 2007, July 1-5, Lausanne

Proceedings of Power Tech 2007, July 1-5, Lausanne Second Order Stochatic Dominance Portfolio Optimization for an Electric Energy Company M.-P. Cheong, Student Member, IEEE, G. B. Sheble, Fellow, IEEE, D. Berleant, Senior Member, IEEE and C.-C. Teoh, Student

More information

Graph Analyi I Network Meaure of the Networked Adaptive Agents

Graph Analyi I Network Meaure of the Networked Adaptive Agents Uing Graph Analyi to Study Network of Adaptive Agent Sherief Abdallah Britih Univerity in Dubai, United Arab Emirate Univerity of Edinburgh, United Kingdom hario@ieee.org ABSTRACT Experimental analyi of

More information

A model for the relationship between tropical precipitation and column water vapor

A model for the relationship between tropical precipitation and column water vapor Click Here for Full Article GEOPHYSICAL RESEARCH LETTERS, VOL. 36, L16804, doi:10.1029/2009gl039667, 2009 A model for the relationhip between tropical precipitation and column water vapor Caroline J. Muller,

More information

OPINION PIECE. It s up to the customer to ensure security of the Cloud

OPINION PIECE. It s up to the customer to ensure security of the Cloud OPINION PIECE It up to the cutomer to enure ecurity of the Cloud Content Don t outource what you don t undertand 2 The check lit 2 Step toward control 4 Due Diligence 4 Contract 4 E-dicovery 4 Standard

More information