A Single-Producer Multi-Retailer Integrated Inventory System with Scrap in Production

Size: px
Start display at page:

Download "A Single-Producer Multi-Retailer Integrated Inventory System with Scrap in Production"

Transcription

1 Research Joural of Appled Sceces, Egeerg ad Techology 5(4): 54-59, 03 ISSN: ; e-issn: Maxwell Scetfc Orgazato, 03 Subtted: July 09, 0 Accepted: August 08, 0 Publshed: February 0, 03 A Sgle-Producer Mult-Retaler Itegrated Ivetory Syste wth Scrap Producto Sga Wag Chu, Kuo-Tsu Lu, Che-Hua Lee ad Yua-Shy Peter Chu Departet of Busess Adstrato, Departet of Idustral Egeerg ad Maageet, Chaoyag Uversty of Techology, Tachug 43, Tawa Abstract: Ths study deteres the repleshet-dstrbuto polcy for a sgle-producer ult-retaler tegrated vetory syste wth scrap rate producto. The objectve s to fd the optal lot-sze ad uber of shpets that zes the total expected costs for such a specfc syste. It s assued that a te s aufactured by a producer ad the delvered to ts dfferet retalers for sale. Each retaler has ts ow aual product dead ad the dead wll be satsfed by sychrozed ultple shpets durg each producto cycle. Ulke the classc Fte Producto Rate (FPR) odel assug perfect producto ad a cotuous vetory ssug polces, the proposed syste assues that there s a evtable rado defectve rate producto ad all ocoforg tes are scrap ad delvery of product s uder a practcal ultple shpet polcy. Matheatcal odelg s eployed ad the reewal reward theore s used to cope wth the varable cycle legth. The the expected syste cost fucto s derved ad the covexty of ths fucto s proved. Fally, a closed-for optal repleshetdstrbuto polcy for such a specfc sgle-producer ult-retaler tegrated syste s obtaed. A uercal exaple s provded to deostrate the practcal usage of the obtaed results. Keywords: FPR odel, vetory, aufacturg, ultple retalers, ultple shpets, optal batch sze, scrap INTRODUCTION The purpose of ths study s to detere the optal lot-sze ad uber of shpets that zes the total expected cost for a sgle-producer ult-retaler tegrated vetory syste wth scrap producto. The classc FPR odel (also kow as the Ecooc Producto uatty (EP) odel) assues a perfect producto (Taft, 98; Nahas, 009). However, a real lfe aufacturg evroet, due to dfferet upredctable factors t sees to be evtable to have perfect producto (Hadley ad Wht, 963; Scheder, 979; Beleck ad Kuar, 988; Cher ad Yag, 999; Booe et al., 000; Teuter ad Flapper, 003; Ojha et al., 007; L et al., 008; Chu et al., 009a, 0a; Lee et al., 0; Che, 0). Aother urealstc assupto the classc FPR odel s the cotuous vetory ssug polcy to satsfy product dead. I the real world vedor-buyer tegrated syste, however, the ultple or perodc delveres of fshed products are ofte used. Schwarz (973) frst exaed a oe-warehouse N-retaler deterstc vetory syste wth the objectve of deterg the stockg polcy that zes the log-ru average syste cost per ut te. The optal solutos alog wth a few ecessary propertes are derved for such a oe-retaler ad N detcal retaler probles. Heurstc solutos for the geeral proble were also suggested. Goyal (977) studed the tegrated vetory odel for the sgle supplersgle custoer proble. He proposed a ethod that s typcally applcable to those vetory probles where a product s procured by a sgle custoer fro a sgle suppler ad a exaple was provded to llustrate hs proposed ethod. Schwarz et al. (985) cosdered the syste fll-rate of a oe-warehouse N-detcal retaler dstrbuto syste as a fucto of warehouse ad retaler safety stock. They used a approxato odel fro a pror study to axze syste fll-rate subject to a costrat o syste safety stock. As results, propertes of fll-rate polcy les are suggested. They ay be used to provde aageral sght to syste optzato ad as the bass for heurstcs. Baerjee (986) studed a jot ecooc lot-sze odel for purchaser ad vedor, wth the focus o zg the jot total relevat cost. He cocluded that a jotly optal orderg polcy, together wth a approprate prce adjustet, could be ecoocally beefcal for both partes, but deftely ot dsadvatageous to ether party. Studes have sce bee carred out to address varous aspects of vedor-buyer supply cha optzato ssues (K ad Hwag, 988; Baerjee ad Burto, 994; Parja ad Sarker, 999; Cetkaya ad Lee, 000; Yao ad Chou, 004; Hoque, 008; Sarker ad Dpoegoro, 009; Chu et al., 0, Correspodg Author: Yua-Shy Peter Chu, Departet of Idustral Egeerg ad Maageet, Chaoyag Uversty of Techology, Tachug 43, Tawa 54

2 Res. J. Appl. Sc. Eg. Techol., 5(4): 54-59, 03 Fg. : O-had vetory of perfect qualty tes the producer sde 0b). Because lttle atteto has bee pad to the area of dervg the jot repleshet-dstrbuto polcy for a sgle-producer ult-retaler FPR odel wth scrap producto, ths study teds to brdge the gap. MODELING AND ANALYSIS Ths study cosders a sgle-producer N-retaler tegrated vetory syste wth scrap. It s assued that the aufacturg process producer s sde ay radoly produce a x porto of defectve tes at a producto rate d. All tes produced are screeed ad ut specto cost s cluded ut producto cost C. All ocoforg tes are assued to be scrap; they are dscarded at the ed of producto. Uder the oral operato, to prevet shortages fro occurrg, the costat producto rate P satsfes (P-d-λ)>0 or (- x-λ/p)>0 ad d ca be expressed as d = Px. Ulke the classc FPR odel assug a cotuous ssug polcy for eetg dead, ths research cosders a ult-shpet polcy. It s also assued that the fshed tes ca oly be delvered to retalers f the whole lot s qualty assured at the ed of producto. Each retaler has ts ow aual dead rate λ. Fxed quatty stallets of the fshed batch are delvered to ultple retalers sychroously at a fxed terval of te durg the dowte t (Fg. ). Cost paraeters used ths study are as follows: the ut producto cost C, ut dsposal cost C S, the producto setup cost K, ut holdg cost h, the fxed delvery cost K per shpet delvered to retaler, ut holdg cost h for te kept by retaler ad ut shppg cost C for te shpped to retaler. Addtoal otato s lsted as follows: = Nuber of fxed quatty stallets of the fshed batch to be delvered to retalers for each cycle, a decso varable (to be detered) = Nuber of retalers t = The producto upte for the proposed syste H = Maxu level of o-had vetory uts whe regular producto process eds t = Te requred for delverg all qualty assured fshed products to retalers t = A fxed terval of te betwee each stallet of fshed products delvered durg producto dowte t T = Producto cycle legth I (t) = O-had vetory of perfect qualty tes at te t I c (t) = O-had vetory at the retalers at te t TC (, ) = Total producto-vetory-delvery costs per cycle for the proposed syste E [TCU (, )] = Total expected producto-vetorydelvery costs per ut te for the proposed syste Fro Fg., the followg equatos ca be drectly obtaed: T t t () H t P P d () T x (3) x t t P (4) H Pdt Pd x (5) P (6) The o-had vetory of scrap tes durg producto upte t s: dt Pxt x. (7) Cost for each delvery s: = Producto lot sze per cycle, a decso varable (to be detered) 55 K C T (8)

3 Res. J. Appl. Sc. Eg. Techol., 5(4): 54-59, 03 Total producto-vetory-delvery cost per cycle TC (, ) cossts of the setup cost, varable producto cost, dsposal cost, fxed ad varable delvery cost, holdg cost durg producto upte t ad holdg cost for fshed goods kept by both the aufacturer ad the custoer durg the delvery te t. Therefore, TC (, ) s:, S TC C K C x K C T H dt Tt h t Ht h Tt () Because the scrap rate x durg producto s assued to be a rado varable wth a kow probablty desty fucto. I order to take the radoess of scrap rate to accout, the expected values of x ca be used the cost aalyss. Substtutg all paraeters fro Eq. () to () TC (, ) ad wth further dervatos the expected cost E [TCU (, )] ca be obtaed as follows: Fg. : O-had vetory retaler sdes Total delvery costs for shpets a cycle are: K C T (9) The varable holdg costs for fshed products kept by the aufacturer, durg the delvery te t where fxed-quatty stallets of the fshed batch are delvered to custoers at a fxed terval of te, are as follows (Chu et al., 009b): h Ht (0) ETC ETCU,, C K K CSEx ET Ex Ex Ex h h E x P Ex P C h h E x P DERIVATION OF THE OPTIMAL SOLUTIONS (3) Proof of covexty: For the proof of covexty of E [TCU (, )], oe ca use the Hessa atrx equatos (Rard, 998) ad verfy whether the followg codto (Eq. (4) holds:, E TCU, ETCU 0 E TCU, E TCU, (4) Fro Eq. (3), oe obtas: The varable holdg costs for fshed products kept by the custoer durg the delvery te t, are as follows (Fg. ad Appedx for detals): h Tt Tt () 56 K K h, h ETCU E x Ex PEx P h h Ex P (5)

4 K K ETCU, E x Res. J. Appl. Sc. Eg. Techol., 5(4): 54-59, 03 3 (6) K, ETCU E x h h Ex P (7) Ex h h (8) ETCU, 3 P K, ETCU E x h h Ex P (9) Substtutg Eq. (6), (8) ad (9) Eq. (4) oe has:, E TCU, K, E TCU, Ex ETCU 0 ETCU (0) Equato (0) s resultg postve, because K, λ, (-E [x]) ad are all postve. Hece, E [TCU (, )] s a strctly covex fucto for all ad dfferet fro zero. Therefore, the covexty of E [TCU (, )] s proved ad there exsts a u of E [TCU (, )]. Dervato of the optal polcy: To detere jotly the repleshet-dstrbuto polcy for the proposed sgle-producer ult-retaler tegrated vetory syste wth scrap, oe ca solve the lear syste of Eq. (5) ad (7) by settg these partal dervatves equal to zero. Further dervatos oe obtas: K K * h hex h h Ex P P h Ex ad () 57 * K h h Ex P K h h Ex P () E x h P It s oted that although real-world stuato the uber of delveres takes teger values oly, Eq. () results a real uber. I order to fd the teger value of * that zes the expected syste cost, two adjacet tegers to ust be exaed respectvely (Chu et al., 009b). Let + deote the sallest teger greater tha or equal to (derved fro Eq. ()) ad - deote the largest teger less tha or equal to. Substtute + ad - respectvely Eq. (), the applyg the resultg (, + ) ad (, - ) Eq. (3) respectvely. By selectg the oe that gves the u log-ru average cost as the optal repleshet-dstrbuto polcy (*, *). A uercal exaple deostratg ther practcal usages s provded ext secto. NUMERICAL EXAMPLE Assue a producer ca aufacture a product at a aual rate of 60,000 uts. Aual deads λ of ths te fro 5 dfferet retalers are 400, 500, 600, 700 ad 800 respectvely (total dead s 3000/year). There s a rado scrap rate durg producto upte whch follows a ufor dstrbuto over the terval (0, 0.3). Values for addtoal paraeters are: h = Ut holdg cost per te at the producer sde, $0 per te per year K = $35000 per producto ru C = $00 per te C S = $0, dsposal cost per scrap te K = The fxed delvery cost per shpet for retaler, they are $ 00, 00, 300, 400 ad 500, respectvely E [TCU ( )] *, * $480,000 $460,000 $440,000 $40,000 $400,000 $380,000 ( *, * ) = (85,5) ( *, * ) = (96,5) E [TCU (3,5) = $460,408] $360, Fg. 3: Varato of rado scrap rate effects o the (*, *) polcy ad E [TCU (*, *)] x

5 h = ut holdg cost for te kept by retaler, they are $75, 70, 65, 60 ad 55 per te, respectvely C = ut trasportato cost for te delvered to retaler, they are $0.5, 0.4, 0.3, 0. ad 0., respectvely Fro Eq. (), () ad (3), oe obtas the optal uber of delvery * = 5, the optal repleshet lot sze * = 3 ad total expected cost E [TCU (*, *)] = $ 460,408. It s oted that uber of delvery should practcally be a teger uber whle Eq. () results 5.39, by applyg the aforeetoed (, + ) ad (, - ) Eq. (3) respectvely, oe fds the optal uber of delvery * = 5. Varato of rado scrap rate effects o the optal (*, *) polcy ad o the syste cost E [TCU (*, *)] are depcted Fg. 3. It s oted that as the rado scrap rate x creases, the value of the syste cost E [TCU (*, *)] creases sgfcatly. CONCLUDING REMARKS I real world busess evroets, t s coo to have a producer suppled a product to ts ultple retalers. I such a specfc teral supply chas, aageet would lke to fgure out a best repleshet-dstrbuto polcy order to ze total syste costs. Ths study vestgates the optal repleshet-dstrbuto polcy for such a sgleproducer ult-retaler tegrated vetory syste wth scrap rate producto. Matheatcal odelg ad aalyss are used. The reewal reward theore s eployed to cope wth the varable cycle legth (due to the radoess of scrap rate producto). The log-ru expected producto-vetory-delvery cost per ut te for the proposed syste odel s derved ad ts covexty s proved. The, a closed-for soluto of the optal repleshet-dstrbuto polcy for such a sgle-producer ult-retaler tegrated syste s obtaed. Effects of varous scrap rates o the optal soluto are also exaed. Oe terestg topc for future research wll be to vestgate the effect of rework o the optal repleshet-dstrbuto polcy such a specfc supply chas. ACKNOWLEDGMENT The authors apprecate Natoal Scece Coucl of Tawa for supportg ths research uder grat uber: NSC H MY3 (3/3). APPENDIX Fro Fg., stallets (fxed quatty D) of the fshed lot are delvered to custoer at a fxed terval of te t, oe has: H D Res. J. Appl. Sc. Eg. Techol., 5(4): 54-59, 03 (A) 58 t t (A) Fro Fg., the coputatos of retalers holdg cost durg t (Eq. ()) are as follows: D I t I t h I t D It It h I t D It It h I t D I t I t h I t h D It It It (A3) Because stallets (fxed quatty D) of the fshed lot are delvered to custoer at a fxed terval of te t, oe has the followg: I t (A4) D t I (A5) where, I deotes uber of left over tes for each retaler after dead durg each fxed terval of te t has bee satsfed (Fg. ). Eq. (A3), the retalers holdg cost durg t becoes: h D It It t h t It tt t Tt h tt REFERENCES (A6) Baerjee, A., 986. A jot ecooc-lot-sze odel for purchaser ad vedor. Decso Sc., 7(3): 9-3. Baerjee, A. ad J.S. Burto, 994. Coordated vs. depedet vetory repleshet polces for a vedor ad ultple buyers. It. J. Prod. Eco., 35: 5-. Beleck, T. ad P.R. Kuar, 988. Optalty of zerovetory polces for urelable producto faclty. Oper. Res., 36: Booe, T., R. Gaesha, Y. Guo ad J.K. Ord, 000. The pact of perfect processes o producto ru tes. Decs. Sc., 3(4): Cetkaya, S. ad C.Y. Lee, 000. Stock repleshet ad shpet schedulg for vedor aaged vetory systes. Maage. Sc., 46(): 7-3. Che, C.T., 0. Dyac prevetve ateace strategy for a agg ad deteroratg producto syste. Exp. Syst. Appl., 38(5):

6 Res. J. Appl. Sc. Eg. Techol., 5(4): 54-59, 03 Cher, C.C. ad P. Yag, 999. Deterg a threshold cotrol polcy for a perfect producto syste wth rework jobs. Nav. Res. Log., 46(-3): Chu, S.W., K.K. Che ad J.C. Yag, 009a. Optal repleshet polcy for aufacturg systes wth falure rework, backloggg ad rado breakdow. Math. Coput. Model. Dy., 5(3): Chu, S.W., H.D. L, C.B. Cheg ad C.L. Chug, 009b. Optal producto- shpet decsos for the fte producto rate odel wth scrap. It. J. Eg. Model., : 5-34 Chu, Y.S.P., F.T. Cheg ad H.H. Chag, 00. Rearks o optzato process of aufacturg syste wth stochastc breakdow ad rework. Appl. Math. Lett., 3(0): Chu, Y.S.P., S.C. Lu, C.L. Chu ad H.H. Chag, 0. Matheatcal odellg for deterg the repleshet polcy for EM odel wth rework ad ultple shpets. Math. Coput. Model., 54(9-0): Chu, Y.S.P., K.K. Che ad C.K. Tg, 0a. Repleshet ru te proble wth ache breakdow ad falure rework. Exp. Syst. Appl., 39(): Chu, S.W., Y.S.P. Chu ad J.C. Yag, 0b. Cobg a alteratve ult-delvery polcy to ecooc producto lot sze proble wth partal rework. Exp. Syst. Appl., 39(3): Goyal, S.K., 977. Itegrated Ivetory Model for a Sgle Suppler-Sgle Custoer Proble. It. J. Prod. Res., 5: 07-. Hadley, G. ad T.M. Wht, 963. Aalyss of Ivetory Systes. Pretce-Hall, Eglewood Clffs, New Jersey. Hoque, M.A., 008. Sychrozato the sgleaufacturer ult-buyer tegrated vetory supply cha. Eur. J. Oper. Res., 88(3): K, K.H. ad H. Hwag, 988. A creetal dscout prcg schedule wth ultple custoers ad sgle prce break. Eur. J. Oper. Res., 35(): L, H.D., Y.S.P. Chu ad C.K. Tg, 008. A ote o optal repleshet polcy for perfect qualty EM odel wth rework ad backloggg. Coput. Math. Appl., 56(): Lee, T.J., S.W. Chu ad H.H. Chag, 0. O provg repleshet lot sze of a tegrated aufacturg syste wth dscotuous ssug polcy ad perfect rework. A. J. Id. Bus. Maage., (): 0-9. Nahas, S., 009. Producto ad Operatos Aalyss. McGraw-Hll Co. Ic., New York. Ojha, D., B.R. Sarker ad P. Bswas, 007. A optal batch sze for a perfect producto syste wth qualty assurace ad rework. It. J. Prod. Res., 45(4): Parja, G.R. ad B.R. Sarker, 999. Operatos plag a supply cha syste wth fxed-terval delveres of fshed goods to ultple custoers. IIE Tras., 3(): Rard, R.L., 998. Optzato Operatos Research. Pretce-Hall, New Jersey, pp: 99, ISBN: Sarker, B.R. ad A. Dpoegoro, 009. Optal producto plas ad shpet schedules a supply- cha syste wth ultple supplers ad ultple buyers. Eur. J. Oper. Res., 94(3): Scheder, H., 979. The servce level vetory cotrol systes. Eg. Costs Prod. Eco., 4: Schwarz, L.B., 973. A sple cotuous revew deterstc oe-warehouse N-retaler vetory proble. Maage. Sc., 9: Schwarz, L.B., B.L. Deuereyer ad R.D. Badell, 986. Fll-rate optzato a oe-warehouse N- detcal retaler dstrbuto syste. Maage. Sc., 3(4): Taft, E.W., 98. The ost ecoocal producto lot. Iro Age, 0: Teuter, R.H. ad S.D.P. Flapper, 003. Lot-szg for a sgle-stage sgle-product producto syste wth rework of pershable producto defectves. OR Spectru, 5(): Yao, M.J. ad C.C. Chou, 004. O a repleshet coordato odel a tegrated supply cha wth oe vedor ad ultple buyers. Eur. J. Oper. Res., 59:

A Study of Unrelated Parallel-Machine Scheduling with Deteriorating Maintenance Activities to Minimize the Total Completion Time

A Study of Unrelated Parallel-Machine Scheduling with Deteriorating Maintenance Activities to Minimize the Total Completion Time Joural of Na Ka, Vol. 0, No., pp.5-9 (20) 5 A Study of Urelated Parallel-Mache Schedulg wth Deteroratg Mateace Actvtes to Mze the Total Copleto Te Suh-Jeq Yag, Ja-Yuar Guo, Hs-Tao Lee Departet of Idustral

More information

APPENDIX III THE ENVELOPE PROPERTY

APPENDIX III THE ENVELOPE PROPERTY Apped III APPENDIX III THE ENVELOPE PROPERTY Optmzato mposes a very strog structure o the problem cosdered Ths s the reaso why eoclasscal ecoomcs whch assumes optmzg behavour has bee the most successful

More information

Fuzzy Task Assignment Model of Web Services Supplier in Collaborative Development Environment

Fuzzy Task Assignment Model of Web Services Supplier in Collaborative Development Environment , pp.199-210 http://dx.do.org/10.14257/uesst.2015.8.6.19 Fuzzy Task Assget Model of Web Servces Suppler Collaboratve Developet Evroet Su Ja 1,2, Peg Xu-ya 1, *, Xu Yg 1,3, Wag Pe-e 2 ad Ma Na- 4,2 1. College

More information

Integrating Production Scheduling and Maintenance: Practical Implications

Integrating Production Scheduling and Maintenance: Practical Implications Proceedgs of the 2012 Iteratoal Coferece o Idustral Egeerg ad Operatos Maagemet Istabul, Turkey, uly 3 6, 2012 Itegratg Producto Schedulg ad Mateace: Practcal Implcatos Lath A. Hadd ad Umar M. Al-Turk

More information

How To Make A Supply Chain System Work

How To Make A Supply Chain System Work Iteratoal Joural of Iformato Techology ad Kowledge Maagemet July-December 200, Volume 2, No. 2, pp. 3-35 LATERAL TRANSHIPMENT-A TECHNIQUE FOR INVENTORY CONTROL IN MULTI RETAILER SUPPLY CHAIN SYSTEM Dharamvr

More information

Numerical Comparisons of Quality Control Charts for Variables

Numerical Comparisons of Quality Control Charts for Variables Global Vrtual Coferece Aprl, 8. - 2. 203 Nuercal Coparsos of Qualty Cotrol Charts for Varables J.F. Muñoz-Rosas, M.N. Pérez-Aróstegu Uversty of Graada Facultad de Cecas Ecoócas y Epresarales Graada, pa

More information

Abraham Zaks. Technion I.I.T. Haifa ISRAEL. and. University of Haifa, Haifa ISRAEL. Abstract

Abraham Zaks. Technion I.I.T. Haifa ISRAEL. and. University of Haifa, Haifa ISRAEL. Abstract Preset Value of Autes Uder Radom Rates of Iterest By Abraham Zas Techo I.I.T. Hafa ISRAEL ad Uversty of Hafa, Hafa ISRAEL Abstract Some attempts were made to evaluate the future value (FV) of the expected

More information

Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds.

Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds. Proceedgs of the 21 Wter Smulato Coferece B. Johasso, S. Ja, J. Motoya-Torres, J. Huga, ad E. Yücesa, eds. EMPIRICAL METHODS OR TWO-ECHELON INVENTORY MANAGEMENT WITH SERVICE LEVEL CONSTRAINTS BASED ON

More information

Optimal replacement and overhaul decisions with imperfect maintenance and warranty contracts

Optimal replacement and overhaul decisions with imperfect maintenance and warranty contracts Optmal replacemet ad overhaul decsos wth mperfect mateace ad warraty cotracts R. Pascual Departmet of Mechacal Egeerg, Uversdad de Chle, Caslla 2777, Satago, Chle Phoe: +56-2-6784591 Fax:+56-2-689657 [email protected]

More information

Maintenance Scheduling of Distribution System with Optimal Economy and Reliability

Maintenance Scheduling of Distribution System with Optimal Economy and Reliability Egeerg, 203, 5, 4-8 http://dx.do.org/0.4236/eg.203.59b003 Publshed Ole September 203 (http://www.scrp.org/joural/eg) Mateace Schedulg of Dstrbuto System wth Optmal Ecoomy ad Relablty Syua Hog, Hafeg L,

More information

Optimal multi-degree reduction of Bézier curves with constraints of endpoints continuity

Optimal multi-degree reduction of Bézier curves with constraints of endpoints continuity Computer Aded Geometrc Desg 19 (2002 365 377 wwwelsevercom/locate/comad Optmal mult-degree reducto of Bézer curves wth costrats of edpots cotuty Guo-Dog Che, Guo-J Wag State Key Laboratory of CAD&CG, Isttute

More information

IDENTIFICATION OF THE DYNAMICS OF THE GOOGLE S RANKING ALGORITHM. A. Khaki Sedigh, Mehdi Roudaki

IDENTIFICATION OF THE DYNAMICS OF THE GOOGLE S RANKING ALGORITHM. A. Khaki Sedigh, Mehdi Roudaki IDENIFICAION OF HE DYNAMICS OF HE GOOGLE S RANKING ALGORIHM A. Khak Sedgh, Mehd Roudak Cotrol Dvso, Departmet of Electrcal Egeerg, K.N.oos Uversty of echology P. O. Box: 16315-1355, ehra, Ira [email protected],

More information

Banking (Early Repayment of Housing Loans) Order, 5762 2002 1

Banking (Early Repayment of Housing Loans) Order, 5762 2002 1 akg (Early Repaymet of Housg Loas) Order, 5762 2002 y vrtue of the power vested me uder Secto 3 of the akg Ordace 94 (hereafter, the Ordace ), followg cosultato wth the Commttee, ad wth the approval of

More information

Capacitated Production Planning and Inventory Control when Demand is Unpredictable for Most Items: The No B/C Strategy

Capacitated Production Planning and Inventory Control when Demand is Unpredictable for Most Items: The No B/C Strategy SCHOOL OF OPERATIONS RESEARCH AND INDUSTRIAL ENGINEERING COLLEGE OF ENGINEERING CORNELL UNIVERSITY ITHACA, NY 4853-380 TECHNICAL REPORT Jue 200 Capactated Producto Plag ad Ivetory Cotrol whe Demad s Upredctable

More information

Chapter 3. AMORTIZATION OF LOAN. SINKING FUNDS R =

Chapter 3. AMORTIZATION OF LOAN. SINKING FUNDS R = Chapter 3. AMORTIZATION OF LOAN. SINKING FUNDS Objectves of the Topc: Beg able to formalse ad solve practcal ad mathematcal problems, whch the subjects of loa amortsato ad maagemet of cumulatve fuds are

More information

Multi-Channel Pricing for Financial Services

Multi-Channel Pricing for Financial Services 0-7695-435-9/0 $7.00 (c) 00 IEEE Proceedgs of the 35th Aual Hawa Iteratoal Coferece o yste ceces (HIC-35 0) 0-7695-435-9/0 $7.00 00 IEEE Proceedgs of the 35th Hawa Iteratoal Coferece o yste ceces - 00

More information

The Time Value of Money

The Time Value of Money The Tme Value of Moey 1 Iversemet Optos Year: 1624 Property Traded: Mahatta Islad Prce : $24.00, FV of $24 @ 6%: FV = $24 (1+0.06) 388 = $158.08 bllo Opto 1 0 1 2 3 4 5 t ($519.37) 0 0 0 0 $1,000 Opto

More information

Average Price Ratios

Average Price Ratios Average Prce Ratos Morgstar Methodology Paper August 3, 2005 2005 Morgstar, Ic. All rghts reserved. The formato ths documet s the property of Morgstar, Ic. Reproducto or trascrpto by ay meas, whole or

More information

1. The Time Value of Money

1. The Time Value of Money Corporate Face [00-0345]. The Tme Value of Moey. Compoudg ad Dscoutg Captalzato (compoudg, fdg future values) s a process of movg a value forward tme. It yelds the future value gve the relevat compoudg

More information

of the relationship between time and the value of money.

of the relationship between time and the value of money. TIME AND THE VALUE OF MONEY Most agrbusess maagers are famlar wth the terms compoudg, dscoutg, auty, ad captalzato. That s, most agrbusess maagers have a tutve uderstadg that each term mples some relatoshp

More information

T = 1/freq, T = 2/freq, T = i/freq, T = n (number of cash flows = freq n) are :

T = 1/freq, T = 2/freq, T = i/freq, T = n (number of cash flows = freq n) are : Bullets bods Let s descrbe frst a fxed rate bod wthout amortzg a more geeral way : Let s ote : C the aual fxed rate t s a percetage N the otoal freq ( 2 4 ) the umber of coupo per year R the redempto of

More information

Numerical Methods with MS Excel

Numerical Methods with MS Excel TMME, vol4, o.1, p.84 Numercal Methods wth MS Excel M. El-Gebely & B. Yushau 1 Departmet of Mathematcal Sceces Kg Fahd Uversty of Petroleum & Merals. Dhahra, Saud Araba. Abstract: I ths ote we show how

More information

SHAPIRO-WILK TEST FOR NORMALITY WITH KNOWN MEAN

SHAPIRO-WILK TEST FOR NORMALITY WITH KNOWN MEAN SHAPIRO-WILK TEST FOR NORMALITY WITH KNOWN MEAN Wojcech Zelńsk Departmet of Ecoometrcs ad Statstcs Warsaw Uversty of Lfe Sceces Nowoursyowska 66, -787 Warszawa e-mal: wojtekzelsk@statystykafo Zofa Hausz,

More information

Measuring the Quality of Credit Scoring Models

Measuring the Quality of Credit Scoring Models Measur the Qualty of Credt cor Models Mart Řezáč Dept. of Matheatcs ad tatstcs, Faculty of cece, Masaryk Uversty CCC XI, Edurh Auust 009 Cotet. Itroducto 3. Good/ad clet defto 4 3. Measur the qualty 6

More information

Statistical Pattern Recognition (CE-725) Department of Computer Engineering Sharif University of Technology

Statistical Pattern Recognition (CE-725) Department of Computer Engineering Sharif University of Technology I The Name of God, The Compassoate, The ercful Name: Problems' eys Studet ID#:. Statstcal Patter Recogto (CE-725) Departmet of Computer Egeerg Sharf Uversty of Techology Fal Exam Soluto - Sprg 202 (50

More information

ECONOMIC CHOICE OF OPTIMUM FEEDER CABLE CONSIDERING RISK ANALYSIS. University of Brasilia (UnB) and The Brazilian Regulatory Agency (ANEEL), Brazil

ECONOMIC CHOICE OF OPTIMUM FEEDER CABLE CONSIDERING RISK ANALYSIS. University of Brasilia (UnB) and The Brazilian Regulatory Agency (ANEEL), Brazil ECONOMIC CHOICE OF OPTIMUM FEEDER CABE CONSIDERING RISK ANAYSIS I Camargo, F Fgueredo, M De Olvera Uversty of Brasla (UB) ad The Brazla Regulatory Agecy (ANEE), Brazl The choce of the approprate cable

More information

The impact of service-oriented architecture on the scheduling algorithm in cloud computing

The impact of service-oriented architecture on the scheduling algorithm in cloud computing Iteratoal Research Joural of Appled ad Basc Sceces 2015 Avalable ole at www.rjabs.com ISSN 2251-838X / Vol, 9 (3): 387-392 Scece Explorer Publcatos The mpact of servce-oreted archtecture o the schedulg

More information

Load Balancing via Random Local Search in Closed and Open systems

Load Balancing via Random Local Search in Closed and Open systems Load Balacg va Rado Local Search Closed ad Ope systes A. Gaesh Dept. of Matheatcs Uversty of Brstol, UK [email protected] A. Proutere Mcrosoft Research Cabrdge, UK [email protected] S. Llethal Stats

More information

Load and Resistance Factor Design (LRFD)

Load and Resistance Factor Design (LRFD) 53:134 Structural Desg II Load ad Resstace Factor Desg (LRFD) Specfcatos ad Buldg Codes: Structural steel desg of buldgs the US s prcpally based o the specfcatos of the Amerca Isttute of Steel Costructo

More information

The Gompertz-Makeham distribution. Fredrik Norström. Supervisor: Yuri Belyaev

The Gompertz-Makeham distribution. Fredrik Norström. Supervisor: Yuri Belyaev The Gompertz-Makeham dstrbuto by Fredrk Norström Master s thess Mathematcal Statstcs, Umeå Uversty, 997 Supervsor: Yur Belyaev Abstract Ths work s about the Gompertz-Makeham dstrbuto. The dstrbuto has

More information

ANOVA Notes Page 1. Analysis of Variance for a One-Way Classification of Data

ANOVA Notes Page 1. Analysis of Variance for a One-Way Classification of Data ANOVA Notes Page Aalss of Varace for a Oe-Wa Classfcato of Data Cosder a sgle factor or treatmet doe at levels (e, there are,, 3, dfferet varatos o the prescrbed treatmet) Wth a gve treatmet level there

More information

On Error Detection with Block Codes

On Error Detection with Block Codes BULGARIAN ACADEMY OF SCIENCES CYBERNETICS AND INFORMATION TECHNOLOGIES Volume 9, No 3 Sofa 2009 O Error Detecto wth Block Codes Rostza Doduekova Chalmers Uversty of Techology ad the Uversty of Gotheburg,

More information

ISyE 512 Chapter 7. Control Charts for Attributes. Instructor: Prof. Kaibo Liu. Department of Industrial and Systems Engineering UW-Madison

ISyE 512 Chapter 7. Control Charts for Attributes. Instructor: Prof. Kaibo Liu. Department of Industrial and Systems Engineering UW-Madison ISyE 512 Chapter 7 Cotrol Charts for Attrbutes Istructor: Prof. Kabo Lu Departmet of Idustral ad Systems Egeerg UW-Madso Emal: [email protected] Offce: Room 3017 (Mechacal Egeerg Buldg) 1 Lst of Topcs Chapter

More information

Approximation Algorithms for Scheduling with Rejection on Two Unrelated Parallel Machines

Approximation Algorithms for Scheduling with Rejection on Two Unrelated Parallel Machines (ICS) Iteratoal oural of dvaced Comuter Scece ad lcatos Vol 6 No 05 romato lgorthms for Schedulg wth eecto o wo Urelated Parallel aches Feg Xahao Zhag Zega Ca College of Scece y Uversty y Shadog Cha 76005

More information

How do bookmakers (or FdJ 1 ) ALWAYS manage to win?

How do bookmakers (or FdJ 1 ) ALWAYS manage to win? How do bookakers (or FdJ ALWAYS aage to w? Itroducto otatos & varables Bookaker's beeft eected value 4 4 Bookaker's strateges5 4 The hoest bookaker 6 4 "real lfe" bookaker 6 4 La FdJ 8 5 How ca we estate

More information

The simple linear Regression Model

The simple linear Regression Model The smple lear Regresso Model Correlato coeffcet s o-parametrc ad just dcates that two varables are assocated wth oe aother, but t does ot gve a deas of the kd of relatoshp. Regresso models help vestgatg

More information

The analysis of annuities relies on the formula for geometric sums: r k = rn+1 1 r 1. (2.1) k=0

The analysis of annuities relies on the formula for geometric sums: r k = rn+1 1 r 1. (2.1) k=0 Chapter 2 Autes ad loas A auty s a sequece of paymets wth fxed frequecy. The term auty orgally referred to aual paymets (hece the ame), but t s ow also used for paymets wth ay frequecy. Autes appear may

More information

Preprocess a planar map S. Given a query point p, report the face of S containing p. Goal: O(n)-size data structure that enables O(log n) query time.

Preprocess a planar map S. Given a query point p, report the face of S containing p. Goal: O(n)-size data structure that enables O(log n) query time. Computatoal Geometry Chapter 6 Pot Locato 1 Problem Defto Preprocess a plaar map S. Gve a query pot p, report the face of S cotag p. S Goal: O()-sze data structure that eables O(log ) query tme. C p E

More information

10.5 Future Value and Present Value of a General Annuity Due

10.5 Future Value and Present Value of a General Annuity Due Chapter 10 Autes 371 5. Thomas leases a car worth $4,000 at.99% compouded mothly. He agrees to make 36 lease paymets of $330 each at the begg of every moth. What s the buyout prce (resdual value of the

More information

Developing a Fuzzy Search Engine Based on Fuzzy Ontology and Semantic Search

Developing a Fuzzy Search Engine Based on Fuzzy Ontology and Semantic Search 0 IEEE Iteratoal Coferece o Fuzzy Systes Jue 7-30, 0, Tape, Tawa Developg a Fuzzy Search Ege Based o Fuzzy Otology ad Seatc Search Le-Fu La Chao-Ch Wu Pe-Yg L Dept. of Coputer Scece ad Iforato Egeerg Natoal

More information

Polyphase Filters. Section 12.4 Porat 1/39

Polyphase Filters. Section 12.4 Porat 1/39 Polyphase Flters Secto.4 Porat /39 .4 Polyphase Flters Polyphase s a way of dog saplg-rate coverso that leads to very effcet pleetatos. But ore tha that, t leads to very geeral vewpots that are useful

More information

STATISTICAL PROPERTIES OF LEAST SQUARES ESTIMATORS. x, where. = y - ˆ " 1

STATISTICAL PROPERTIES OF LEAST SQUARES ESTIMATORS. x, where. = y - ˆ  1 STATISTICAL PROPERTIES OF LEAST SQUARES ESTIMATORS Recall Assumpto E(Y x) η 0 + η x (lear codtoal mea fucto) Data (x, y ), (x 2, y 2 ),, (x, y ) Least squares estmator ˆ E (Y x) ˆ " 0 + ˆ " x, where ˆ

More information

The Digital Signature Scheme MQQ-SIG

The Digital Signature Scheme MQQ-SIG The Dgtal Sgature Scheme MQQ-SIG Itellectual Property Statemet ad Techcal Descrpto Frst publshed: 10 October 2010, Last update: 20 December 2010 Dalo Glgorosk 1 ad Rue Stesmo Ødegård 2 ad Rue Erled Jese

More information

AN ALGORITHM ABOUT PARTNER SELECTION PROBLEM ON CLOUD SERVICE PROVIDER BASED ON GENETIC

AN ALGORITHM ABOUT PARTNER SELECTION PROBLEM ON CLOUD SERVICE PROVIDER BASED ON GENETIC Joural of Theoretcal ad Appled Iformato Techology 0 th Aprl 204. Vol. 62 No. 2005-204 JATIT & LLS. All rghts reserved. ISSN: 992-8645 www.jatt.org E-ISSN: 87-395 AN ALGORITHM ABOUT PARTNER SELECTION PROBLEM

More information

Reinsurance and the distribution of term insurance claims

Reinsurance and the distribution of term insurance claims Resurace ad the dstrbuto of term surace clams By Rchard Bruyel FIAA, FNZSA Preseted to the NZ Socety of Actuares Coferece Queestow - November 006 1 1 Itroducto Ths paper vestgates the effect of resurace

More information

Classic Problems at a Glance using the TVM Solver

Classic Problems at a Glance using the TVM Solver C H A P T E R 2 Classc Problems at a Glace usg the TVM Solver The table below llustrates the most commo types of classc face problems. The formulas are gve for each calculato. A bref troducto to usg the

More information

n. We know that the sum of squares of p independent standard normal variables has a chi square distribution with p degrees of freedom.

n. We know that the sum of squares of p independent standard normal variables has a chi square distribution with p degrees of freedom. UMEÅ UNIVERSITET Matematsk-statstska sttutoe Multvarat dataaalys för tekologer MSTB0 PA TENTAMEN 004-0-9 LÖSNINGSFÖRSLAG TILL TENTAMEN I MATEMATISK STATISTIK Multvarat dataaalys för tekologer B, 5 poäg.

More information

6.7 Network analysis. 6.7.1 Introduction. References - Network analysis. Topological analysis

6.7 Network analysis. 6.7.1 Introduction. References - Network analysis. Topological analysis 6.7 Network aalyss Le data that explctly store topologcal formato are called etwork data. Besdes spatal operatos, several methods of spatal aalyss are applcable to etwork data. Fgure: Network data Refereces

More information

Chapter Eight. f : R R

Chapter Eight. f : R R Chapter Eght f : R R 8. Itroducto We shall ow tur our atteto to the very mportat specal case of fuctos that are real, or scalar, valued. These are sometmes called scalar felds. I the very, but mportat,

More information

Credibility Premium Calculation in Motor Third-Party Liability Insurance

Credibility Premium Calculation in Motor Third-Party Liability Insurance Advaces Mathematcal ad Computatoal Methods Credblty remum Calculato Motor Thrd-arty Lablty Isurace BOHA LIA, JAA KUBAOVÁ epartmet of Mathematcs ad Quattatve Methods Uversty of ardubce Studetská 95, 53

More information

Dynamic Two-phase Truncated Rayleigh Model for Release Date Prediction of Software

Dynamic Two-phase Truncated Rayleigh Model for Release Date Prediction of Software J. Software Egeerg & Applcatos 3 63-69 do:.436/jsea..367 Publshed Ole Jue (http://www.scrp.org/joural/jsea) Dyamc Two-phase Trucated Raylegh Model for Release Date Predcto of Software Lafe Qa Qgchua Yao

More information

Automated Event Registration System in Corporation

Automated Event Registration System in Corporation teratoal Joural of Advaces Computer Scece ad Techology JACST), Vol., No., Pages : 0-0 0) Specal ssue of CACST 0 - Held durg 09-0 May, 0 Malaysa Automated Evet Regstrato System Corporato Zafer Al-Makhadmee

More information

Security Analysis of RAPP: An RFID Authentication Protocol based on Permutation

Security Analysis of RAPP: An RFID Authentication Protocol based on Permutation Securty Aalyss of RAPP: A RFID Authetcato Protocol based o Permutato Wag Shao-hu,,, Ha Zhje,, Lu Sujua,, Che Da-we, {College of Computer, Najg Uversty of Posts ad Telecommucatos, Najg 004, Cha Jagsu Hgh

More information

CHAPTER 2. Time Value of Money 6-1

CHAPTER 2. Time Value of Money 6-1 CHAPTER 2 Tme Value of Moey 6- Tme Value of Moey (TVM) Tme Les Future value & Preset value Rates of retur Autes & Perpetutes Ueve cash Flow Streams Amortzato 6-2 Tme les 0 2 3 % CF 0 CF CF 2 CF 3 Show

More information

RUSSIAN ROULETTE AND PARTICLE SPLITTING

RUSSIAN ROULETTE AND PARTICLE SPLITTING RUSSAN ROULETTE AND PARTCLE SPLTTNG M. Ragheb 3/7/203 NTRODUCTON To stuatos are ecoutered partcle trasport smulatos:. a multplyg medum, a partcle such as a eutro a cosmc ray partcle or a photo may geerate

More information

Optimizing Multiproduct Multiconstraint Inventory Control Systems with Stochastic Period Length and Emergency Order

Optimizing Multiproduct Multiconstraint Inventory Control Systems with Stochastic Period Length and Emergency Order 585858585814 Joual of Uceta Systes Vol.7, No.1, pp.58-71, 013 Ole at: www.us.og.uk Optzg Multpoduct Multcostat Ivetoy Cotol Systes wth Stochastc Peod Legth ad egecy Ode Ata Allah Talezadeh 1, Seyed Tagh

More information

A New Bayesian Network Method for Computing Bottom Event's Structural Importance Degree using Jointree

A New Bayesian Network Method for Computing Bottom Event's Structural Importance Degree using Jointree , pp.277-288 http://dx.do.org/10.14257/juesst.2015.8.1.25 A New Bayesa Network Method for Computg Bottom Evet's Structural Importace Degree usg Jotree Wag Yao ad Su Q School of Aeroautcs, Northwester Polytechcal

More information

Optimal Packetization Interval for VoIP Applications Over IEEE 802.16 Networks

Optimal Packetization Interval for VoIP Applications Over IEEE 802.16 Networks Optmal Packetzato Iterval for VoIP Applcatos Over IEEE 802.16 Networks Sheha Perera Harsha Srsea Krzysztof Pawlkowsk Departmet of Electrcal & Computer Egeerg Uversty of Caterbury New Zealad [email protected]

More information

Using Phase Swapping to Solve Load Phase Balancing by ADSCHNN in LV Distribution Network

Using Phase Swapping to Solve Load Phase Balancing by ADSCHNN in LV Distribution Network Iteratoal Joural of Cotrol ad Automato Vol.7, No.7 (204), pp.-4 http://dx.do.org/0.4257/jca.204.7.7.0 Usg Phase Swappg to Solve Load Phase Balacg by ADSCHNN LV Dstrbuto Network Chu-guo Fe ad Ru Wag College

More information

Projection model for Computer Network Security Evaluation with interval-valued intuitionistic fuzzy information. Qingxiang Li

Projection model for Computer Network Security Evaluation with interval-valued intuitionistic fuzzy information. Qingxiang Li Iteratoal Joural of Scece Vol No7 05 ISSN: 83-4890 Proecto model for Computer Network Securty Evaluato wth terval-valued tutostc fuzzy formato Qgxag L School of Software Egeerg Chogqg Uversty of rts ad

More information

Fundamentals of Mass Transfer

Fundamentals of Mass Transfer Chapter Fudametals of Mass Trasfer Whe a sgle phase system cotas two or more speces whose cocetratos are ot uform, mass s trasferred to mmze the cocetrato dffereces wth the system. I a mult-phase system

More information

A particle swarm optimization to vehicle routing problem with fuzzy demands

A particle swarm optimization to vehicle routing problem with fuzzy demands A partcle swarm optmzato to vehcle routg problem wth fuzzy demads Yag Peg, Ye-me Qa A partcle swarm optmzato to vehcle routg problem wth fuzzy demads Yag Peg 1,Ye-me Qa 1 School of computer ad formato

More information

Applications of Support Vector Machine Based on Boolean Kernel to Spam Filtering

Applications of Support Vector Machine Based on Boolean Kernel to Spam Filtering Moder Appled Scece October, 2009 Applcatos of Support Vector Mache Based o Boolea Kerel to Spam Flterg Shugag Lu & Keb Cu School of Computer scece ad techology, North Cha Electrc Power Uversty Hebe 071003,

More information

Analysis of one-dimensional consolidation of soft soils with non-darcian flow caused by non-newtonian liquid

Analysis of one-dimensional consolidation of soft soils with non-darcian flow caused by non-newtonian liquid Joural of Rock Mechacs ad Geotechcal Egeerg., 4 (3): 5 57 Aalyss of oe-dmesoal cosoldato of soft sols wth o-darca flow caused by o-newtoa lqud Kaghe Xe, Chuaxu L, *, Xgwag Lu 3, Yul Wag Isttute of Geotechcal

More information

ANNEX 77 FINANCE MANAGEMENT. (Working material) Chief Actuary Prof. Gaida Pettere BTA INSURANCE COMPANY SE

ANNEX 77 FINANCE MANAGEMENT. (Working material) Chief Actuary Prof. Gaida Pettere BTA INSURANCE COMPANY SE ANNEX 77 FINANCE MANAGEMENT (Workg materal) Chef Actuary Prof. Gada Pettere BTA INSURANCE COMPANY SE 1 FUNDAMENTALS of INVESTMENT I THEORY OF INTEREST RATES 1.1 ACCUMULATION Iterest may be regarded as

More information

ON SLANT HELICES AND GENERAL HELICES IN EUCLIDEAN n -SPACE. Yusuf YAYLI 1, Evren ZIPLAR 2. [email protected]. evrenziplar@yahoo.

ON SLANT HELICES AND GENERAL HELICES IN EUCLIDEAN n -SPACE. Yusuf YAYLI 1, Evren ZIPLAR 2. yayli@science.ankara.edu.tr. evrenziplar@yahoo. ON SLANT HELICES AND ENERAL HELICES IN EUCLIDEAN -SPACE Yusuf YAYLI Evre ZIPLAR Departmet of Mathematcs Faculty of Scece Uversty of Akara Tadoğa Akara Turkey yayl@sceceakaraedutr Departmet of Mathematcs

More information

Fault Tree Analysis of Software Reliability Allocation

Fault Tree Analysis of Software Reliability Allocation Fault Tree Aalyss of Software Relablty Allocato Jawe XIANG, Kokch FUTATSUGI School of Iformato Scece, Japa Advaced Isttute of Scece ad Techology - Asahda, Tatsuokuch, Ishkawa, 92-292 Japa ad Yaxag HE Computer

More information

ADAPTATION OF SHAPIRO-WILK TEST TO THE CASE OF KNOWN MEAN

ADAPTATION OF SHAPIRO-WILK TEST TO THE CASE OF KNOWN MEAN Colloquum Bometrcum 4 ADAPTATION OF SHAPIRO-WILK TEST TO THE CASE OF KNOWN MEAN Zofa Hausz, Joaa Tarasńska Departmet of Appled Mathematcs ad Computer Scece Uversty of Lfe Sceces Lubl Akademcka 3, -95 Lubl

More information

On the impact of heterogeneity and back-end scheduling in load balancing designs

On the impact of heterogeneity and back-end scheduling in load balancing designs O the mpact of heterogety ad back-ed schedulg load balacg desgs Ho-L Che Iformato Scece ad Techology Calfora Isttute of Techology Pasadea CA 925 Jaso R Marde Iformato Scece ad Techology Calfora Isttute

More information

Curve Fitting and Solution of Equation

Curve Fitting and Solution of Equation UNIT V Curve Fttg ad Soluto of Equato 5. CURVE FITTING I ma braches of appled mathematcs ad egeerg sceces we come across epermets ad problems, whch volve two varables. For eample, t s kow that the speed

More information

A Fast Clustering Algorithm to Cluster Very Large Categorical Data Sets in Data Mining

A Fast Clustering Algorithm to Cluster Very Large Categorical Data Sets in Data Mining A Fast Clusterg Algorth to Cluster Very Large Categorcal Data Sets Data Mg Zhexue Huag * Cooperatve Research Cetre for Advaced Coputatoal Systes CSIRO Matheatcal ad Iforato Sceces GPO Box 664, Caberra

More information

Impact of Interference on the GPRS Multislot Link Level Performance

Impact of Interference on the GPRS Multislot Link Level Performance Impact of Iterferece o the GPRS Multslot Lk Level Performace Javer Gozalvez ad Joh Dulop Uversty of Strathclyde - Departmet of Electroc ad Electrcal Egeerg - George St - Glasgow G-XW- Scotlad Ph.: + 8

More information

A DISTRIBUTED REPUTATION BROKER FRAMEWORK FOR WEB SERVICE APPLICATIONS

A DISTRIBUTED REPUTATION BROKER FRAMEWORK FOR WEB SERVICE APPLICATIONS L et al.: A Dstrbuted Reputato Broker Framework for Web Servce Applcatos A DISTRIBUTED REPUTATION BROKER FRAMEWORK FOR WEB SERVICE APPLICATIONS Kwe-Jay L Departmet of Electrcal Egeerg ad Computer Scece

More information

Chapter 3 0.06 = 3000 ( 1.015 ( 1 ) Present Value of an Annuity. Section 4 Present Value of an Annuity; Amortization

Chapter 3 0.06 = 3000 ( 1.015 ( 1 ) Present Value of an Annuity. Section 4 Present Value of an Annuity; Amortization Chapter 3 Mathematcs of Face Secto 4 Preset Value of a Auty; Amortzato Preset Value of a Auty I ths secto, we wll address the problem of determg the amout that should be deposted to a accout ow at a gve

More information

A PRACTICAL SOFTWARE TOOL FOR GENERATOR MAINTENANCE SCHEDULING AND DISPATCHING

A PRACTICAL SOFTWARE TOOL FOR GENERATOR MAINTENANCE SCHEDULING AND DISPATCHING West Ida Joural of Egeerg Vol. 30, No. 2, (Jauary 2008) Techcal aper (Sharma & Bahadoorsgh) 57-63 A RACTICAL SOFTWARE TOOL FOR GENERATOR MAINTENANCE SCHEDULING AND DISATCHING C. Sharma & S. Bahadoorsgh

More information

STOCHASTIC approximation algorithms have several

STOCHASTIC approximation algorithms have several IEEE TRANSACTIONS ON INFORMATION THEORY, VOL 60, NO 10, OCTOBER 2014 6609 Trackg a Markov-Modulated Statoary Degree Dstrbuto of a Dyamc Radom Graph Mazyar Hamd, Vkram Krshamurthy, Fellow, IEEE, ad George

More information

Application of Grey Relational Analysis in Computer Communication

Application of Grey Relational Analysis in Computer Communication Applcato of Grey Relatoal Aalyss Computer Commucato Network Securty Evaluato Jgcha J Applcato of Grey Relatoal Aalyss Computer Commucato Network Securty Evaluato *1 Jgcha J *1, Frst ad Correspodg Author

More information

FINANCIAL FORMULAE. Amount of One or Future Value of One ($1, 1, 1, etc.)... 2. Present Value (or Present Worth) of One ($1, 1, 1, etc.)...

FINANCIAL FORMULAE. Amount of One or Future Value of One ($1, 1, 1, etc.)... 2. Present Value (or Present Worth) of One ($1, 1, 1, etc.)... Amout of Oe or Future Value of Oe ($,,, etc.)... 2 Preset Value (or Preset Worth) of Oe ($,,, etc.)... 2 Amout of Oe per Perod... 3 or Future Value of Oe per Perod Preset Value (or Preset Worth) of Oe

More information

Decision Science Letters

Decision Science Letters Decso Scece Letters 1 (2012) 11 22 Cotets sts avaabe at GrowgScece Decso Scece Letters hoepage: www.growgscece.co/ds A Fuzzy-MOORA approach for ERP syste seecto Prasad Karade a ad Shakar Chakraborty b*

More information

Performance Attribution. Methodology Overview

Performance Attribution. Methodology Overview erformace Attrbuto Methodology Overvew Faba SUAREZ March 2004 erformace Attrbuto Methodology 1.1 Itroducto erformace Attrbuto s a set of techques that performace aalysts use to expla why a portfolo's performace

More information

A two-stage stochastic mixed-integer program modelling and hybrid solution approach to portfolio selection problems

A two-stage stochastic mixed-integer program modelling and hybrid solution approach to portfolio selection problems A two-stage stochastc mxed-teger program modellg ad hybrd soluto approach to portfolo selecto problems Fag He, Rog Qu The Automated Schedulg, Optmsato ad Plag (ASAP) Group, School of Computer Scece The

More information