Application of Network Analysis to Project Management.

Size: px
Start display at page:

Download "Application of Network Analysis to Project Management."

Transcription

1 Applicatio of Network Aalysis to Proect Maagemet. R.A. Adeleke, O.Y. Halid, O.D. Oguwale, ad A.O. Olubiyi Departmet of mathematical Scieces, Faculty of Sciece, Uiversity of Ado-Ekiti, Ekiti State, Nigeria. ABSTRACT This paper cosidered the activities ivolved i a costructio site as a etwork ad proposed a etwork aalytic techique amely the Critical Path Method (CPM) ad a traditioal method for all activities ivolved i the site to obtai the latest fiish time (completio time) of the proect. Results show that the CPM gave a shorter completio date tha the traditioal method sice it gave a lower latest fiish time ad cosequetly, lower ruig ad persoel costs. (Keywords: etwork, etwork aalytic techique, critical path maagemet, CPM, latest fiish time) INTRODUCTION Network aalysis is the geeral ame give to certai specific techiques which ca be used for plaig, maagemet ad cotrol of proect. It ofte acts as a etwork maagemet tool for breakig dow proects ito compoets or idividual activities ad recordig the result o a flow chart or etwork diagram. These results geerally reveal iformatio that is used to determie duratio, resource limitatios ad cost estimates associated with the proect. It offers isight ito what is occurrig at each critical poit of the etwork. Proect maagemet ad efficiet resource allocatio are two critical aspects of the productio ad operatios maagers resposibilities. Sice a proect is o-repetitive ad temporal i ature, the mode of maagemet differs from the usual ob shop or other related types of schedulig. A proect cosists of tasks with defiite startig ad ultimate edig poits ad hece a proect maager is saddled with the resposibilities of gettig ob doe o schedule withi allowable cost ad time costrait specified by the maagemet. Typically all proects ca be broke ito: Separate activities where each activity has a associated completio time (time from the start of the activity to its fiish). Precedece relatioships which gover order i which we may perform the activities. The mai problem is to brig all these activities together i a coheret fashio to complete the proect at a required time. Apart from the traditioal method of addig activity duratios, these exist two differet techiques for etwork aalysis amely the PERT Program Evaluatio ad Review Techique ad CPM Critical Path Maagemet. PERT has the ability to cope with ucertaity i activity completio times while CPM emphasized o the trade-off betwee cost of the proect ad its overall completio time. The CPM has the advatage of decreasig completio times by probably spedig more moey. Network aalysis eables us to take a systematic quatitative structural approach to the problem of maagig a proect through to successful completio. Also, sice it has a graphical represetatio, it ca be easily uderstood ad used by those with a less techical backgroud. MATERIALS AND METHODS The followig is the list of activities obtaied from a costructio firm ivolved i the costructio of a shoppig complex is sequetial The Pacific Joural of Sciece ad Techology Volume 1. Number 1. May 11 (Sprig)

2 order. Clearig of site Settig out Excavatio Cocrete of colum base Colum reiforcemet Castig of strips Form works Castig of colums Settig of block wall sub-structure Earth fillig Hard core Electrical fixig I Plumbig fixig I Castig of groud floor slab Reiforcemet of groud floor colums/litel Electrical fixig II Plumbig fixig II Form work of groud floor colums/litel Cast of groud floor colums/litel Form work for first beam/first floor slab Settig of groud floor block wall Electrical fixig III Plumbig fixig III First floor slab reiforcemet Castig of first floor slab Reiforcemet of the first floor colums /litel Electrical fixig IV Plumbig fixig IV Form work first floor colums/litel Castig of first floor colums/litel Form work for roof beam/reiforcemet Castig roof beam/reiforcemet Settig of first floor block wall Electrical fixig V Plumbig fixig V Roof/ceilig Door/widows Plasterig Fial electrical fixig Fiishig Paitig/decoratio Exteral works (Electrical/Plumbig) The activities are tabulated i the succeedig tables. Liear Programmig Formulatio To esure the formulatio, we assume that our route is to be determied betwee odes where also equals the total umber of etwork modes. It will also be assumed that a sigle brach coects ode to ode (i.e. distaces ad braches associated with odes that are ot directly coected are igored). Also, i the evet of a directed brach, we do ot cosider flows i oppositio to the directio. Thus, we wish to fid the set mi imize d X i 1 1 k subect to X 1 k 1 1 X k, ik, i, k k, i 1 1 i, i, 1 1 to: X X for k,..., 1 Xik,,1 for all i, whered i, dis ta ce from ode i to ( for directly coected odes) 1 if the brach from ode i to is coected X i, otherwise The first two costraits assure us that exactly oe brach is take from the first ode whereas exactly oe brach is take ito the fial ode. The third costraits simply force the umber of braches ito a itermediate ode to equal those out of that ode. The Critical Path Compositio All activities have bee elisted i the path to completio. The CPM will be used to choose the path with the shortest completio time. The Pacific Joural of Sciece ad Techology 6 Volume 1. Number 1. May 11 (Sprig)

3 Table 1: List of Activities with Estimated Duratio ad Immediate Predecessor. S/N Duratio (Days) Activity Immediate Predecessor 1 1 Clearig of site - 1 Settig out 1 9 Excavatio 4 Cocrete of colum base Colum reiforcemet 6 Castig of strip, Form work 6 8 Castig of colums 6,7 9 Settig of block wall sub-structure 8 1 Earth fillig Hard core Electrical fixig I 1 1 Plumbig fixig I 1 14 Castig of groud floor slab 11, 1, Reiforcemet of groud floor colums/litel Electrical fixig II 1 17 Plumbig fixig II 1 18 Form work of groud floor colums/litel 16, Cast of groud floor colums/litel 18 Form work for first beam/first floor slab Settig of groud floor block wall Electrical fixig III 19 Plumbig fixig III First floor slab reiforcemet 1 Castig of first floor slab 4 6 Reiforcemet of the first floor colums /litel 7 Electrical fixig IV 8 Plumbig fixig IV 6, Form work first floor colums/litel 8 4 Castig of first floor colums/litel 9 1 Form work for roof beam/reiforcemet 9 8 Castig roof beam/reiforcemet 1 6 Settig of first floor block wall 4 8 Electrical fixig V 1 Plumbig fixig V, Roof/ceilig, Door/widows, Plasterig Fid electrical fixig Fiishig Paitig/decoratio Exteral works Exteral works electrical 8, 9, Exteral works plumbig 8, 9, 4 The Pacific Joural of Sciece ad Techology 7 Volume 1. Number 1. May 11 (Sprig)

4 Activity Duratio (Days) Immediate Predecessor [1, ] 1 - [, ] 1 [1, ] [, 4] 9 [, ] [4, ] [, 4] [4, 6] [, 4] [, 6] [4, ] [6, 7] [4, ], [, 6] [7, 8] 4 [6, 7] [8, 9] [7, 8] [9, 1] [8, 9] [1, 11] [9, 1] [11, 1] 4 [1, 11] [11, 1] 1 [1, 11] [11, 14] [1, 11] [1, 14] [11, 1] [1, 14] [11, 1] [14, 1] [1, 14], [11, 14], [1, 14] [1, 16] 4 [14, 1] [16, 17] [1, 16] [16, 18] [1, 16] [17, 18] [16, 17] [18, 19] [16, 18], [17, 18] [19, ] [18, 19] [, 1] [19, ] [, ] [19, ] [, ] [19, ] [1, 4] 1 [, 1] [1, ] 4 [, 1] [, 4] [, ] [, 4] [, ] [4, 4] [1, 4] [, 6] 1 [1, ] [6, 7] [, 6] [6, 8] [, 6] [7, 8] [6, 7] [8, 9] [6, 8], [7, 8] [9, ] [8, 9] [, 1] 4 [9, ] [1, ] [, 1] [, ] 8 [1, ] [, ] 8 [, ] [4, ] [, 4] [, 6] 1 [, ], [4, ] [, 7] 4 [, ], [4, ] [6, 7] [, 6] [7, 8] 1 [, 7], [6, 7] [7, 9] 1 [, 7], [6, 7] [8, 4] [7, 8] [9, 4] 7 [7, 9] [9, 41] 14 [7, 9] [9, 4] 7 [7, 9] [9, 4] 9 [7, 9] [4, 4] [9, 4] [41, 4] [9, 41] [4, 4] [9, 4] [4, 44] 8 [9, 4], [4, 4], [4, 4] [4, 4] 1 [9, 4], [4, 4], [4, 4] [44, 4] [4, 44] The Pacific Joural of Sciece ad Techology 8 Table : Activity Duratios with Immediate Predecessor Activities. Volume 1. Number 1. May 11 (Sprig)

5 Figure 1: Network Diagram of Activities ad Duratios i the Site. This is divided ito: Forward Pass through the etwork, Backward Pass through etwork, Float time computatio ad Critical path determiatio. Forward Pass through the Network We compute the earliest occurrece of evet as: ES max[ ES D ] for all i, i i i, where i evet of the 1,,..., idicates the precedig activities that termiates at Also, the earliest fiish/completio time of evet is: EFi ESi D i, Backward Pass through the Network The pass determie the latest occurrece time for each evet. This is give by: LF ES at si k ad LF mi[ LF D ] for all i, i, i, The latest occurrece time of evet is: ES the earliest occurrece time of evet that i whe i 1, ES i so LFi LF D i i of the 1,,..., idicates the successor evets activities. The Pacific Joural of Sciece ad Techology 9 Volume 1. Number 1. May 11 (Sprig)

6 Determiatio of Fial Time ad Critical Path LF EF i Float time is activity ca be delayed from its ES time without disturbig the critical activities that follow it. It is equal to LS mius ES or LF mius EF for activity that is: Fi LSi ESi or The float time for evet is the differece betwee the earliest ad latest occurrece time for the evet. Note that all activities with zero float costitute the critical path. RESULTS Results are show i Table. The activities with zero float are: [1,], [,], [,4], [4,6], [6,7], [7,8], [8,9], [9,1], [1,11], [11,1], [1,14], [14,1], [1,16], [16,18], [18,19], [19,], [,1], [1,], [,6], [6,8], [8,9], [9,], [,1], [1,], [,], [,], [6,7], [7,9], [9,4] ad [4,4]. Hece the critical path is: With total duratio: = 149 Days Tora optimizatio system was also used to aalyze the data yieldig the followig output (Table 4): The Pacific Joural of Sciece ad Techology 1 Volume 1. Number 1. May 11 (Sprig)

7 Activity D i Table : Results ES EF i i LS i LF Float [1, ] [, ] [, 4] [4, ] [4, 6] [, 6] [6, 7] [7, 8] [8, 9] 8 8 [9, 1] 8 8 [1, 11] 8 8 [11, 1] [11, 1] [11, 14] [1, 14] [1, 14] [14, 1] [1, 16] [16, 17] [16, 18] [17, 18] [18, 19] [19, ] 8 8 [, 1] [, ] [, ] [1, 4] [1, ] [, 4] [, 4] [4, 4] [, 6] [6, 7] [6, 8] [7, 8] [8, 9] [9, ] [, 1] [1, ] [, ] [, 4] [, ] [4, ] [, 6] [, 7] [6, 7] [7, 8] [7, 9] [8, 4] [9, 4] [9, 41] [9, 4] [9, 4] [4, 4] [41, 4] [4, 4] [4, 44] [4, 4] [44,4] The Pacific Joural of Sciece ad Techology 11 Volume 1. Number 1. May 11 (Sprig)

8 Table 4: Solutio Steps FORWARD PASS BACKWARD PASS STEP NODE EARLIEST TIME STEP NODE LATEST TIME At sik, LF = ES = 149.days after the 4 th activity. The Pacific Joural of Sciece ad Techology 1 Volume 1. Number 1. May 11 (Sprig)

9 DISCUSSION The etwork diagram (Figure 1) shows that activity [1, ] has to wait for days before activity [, ] ca cotiue to [, 4]. The latest start time for activity [1, ] is zero ad its latest time is 1 day. For total float, activity [, ] ca be delayed without affectig the total proect duratio ad so is activity [, 4]. Activity [7, 8] ca also be delayed for 4 days without affectig the overall duratio while activity [4, ] ca be delayed for days whe all succeedig activities are completed as early as possible. The etwork diagram also reveals that the proect will be completed after the 4 th evet. Table o float time was obtaied from the etwork diagram. It reveals the critical path (the additio of all activities with zero float) with total a duratio of 149 days. Also iputtig the data (Table 1) ito the Tora system, the output gave a critical path with total duratio of 149 days which coicided with the maual computatio obtaied earlier. CONCLUSION AND RECOMMENDATION A total of 149 days was obtaied as a completio time for the proect usig the CPM techique whereas a time of 199 days would have bee required if the traditioal method of additio was adopted. We coclude that 149 days is the required completio time for the proect. This will save a period of days i the costructio process. It could also save ruig, persoel, ad other resource costs. We therefore recommed that persoel relevat to the field of etwork aalysis should be ivolved i plaig of a proect prior to its commecemet. This will i tur give a idea of the proect s shortest completio period. Maagemet should also seriously cosider ad implemet the results of such persoel to avoid udue delay i the completio of ay proect. Lastly, iefficiet utilizatio of resources ad icrease i cost of utilities beyod reasoable proportios could lead to the abadomet of proect works. I such cases, we recommed that additioal resources such as overtime paymets, bouses ad icreased labour iput should be icorporated so as to re-adust the critical path. REFERENCES 1. Taha, H.A Operatios Research A Itroductio (Sixth Editio). Pretice-Hall: New York, NY.. Hillier, F.S. ad Lieberma, G.J.. A Itroductio to Operatios Research. McGraw Hill Higher Educatio: New York, NY.. Igizio J.P Liear Programmig i Sigle ad Multiple-Obective Systems. Pretice-Hall: New York, NY. ABOUT THE AUTHORS R.A. Adekee, holds a Ph.D. degree i Statistics. He is curretly a Seior Lecturer i the Departmet of Mathematical Scieces, Uiversity of Ado-Ekiti, Nigeria. His area of research is probability theory ad stochastic processes. O.Y. Halid, holds a Master s Degree i Statistics. He is curretly a Assistat Lecturer i the Departmet of Mathematical Scieces, Uiversity of Ado-Ekiti, Nigeria. His area of research is probability distributio theory ad its applicatios O.D. Oguwale, holds a Master s Degree i Statistics. He is curretly a Assistat Lecturer i the Departmet of Mathematical Scieces, Uiversity of Ado-Ekiti, Nigeria. His area of research is probability theory ad stochastic processes A.O. Olubiyi, holds a Master s Degree i Statistics. She is curretly a Assistat Lecturer i the Departmet of Mathematical Scieces, Uiversity of Ado-Ekiti, Nigeria. Her area of research is evirometal statistics. SUGGESTED CITATION Adeleke, R.A., O.Y. Halid, O.D. Oguwale, ad A.O. Olubiyi. 11. Applicatio of Network Aalysis to Proect Maagemet. Pacific Joural of Sciece ad Techology. 1(1): - 1. Pacific Joural of Sciece ad Techology The Pacific Joural of Sciece ad Techology 1 Volume 1. Number 1. May 11 (Sprig)

*The most important feature of MRP as compared with ordinary inventory control analysis is its time phasing feature.

*The most important feature of MRP as compared with ordinary inventory control analysis is its time phasing feature. Itegrated Productio ad Ivetory Cotrol System MRP ad MRP II Framework of Maufacturig System Ivetory cotrol, productio schedulig, capacity plaig ad fiacial ad busiess decisios i a productio system are iterrelated.

More information

1. Introduction. Scheduling Theory

1. Introduction. Scheduling Theory . Itroductio. Itroductio As a idepedet brach of Operatioal Research, Schedulig Theory appeared i the begiig of the 50s. I additio to computer systems ad maufacturig, schedulig theory ca be applied to may

More information

where: T = number of years of cash flow in investment's life n = the year in which the cash flow X n i = IRR = the internal rate of return

where: T = number of years of cash flow in investment's life n = the year in which the cash flow X n i = IRR = the internal rate of return EVALUATING ALTERNATIVE CAPITAL INVESTMENT PROGRAMS By Ke D. Duft, Extesio Ecoomist I the March 98 issue of this publicatio we reviewed the procedure by which a capital ivestmet project was assessed. The

More information

Journal of Chemical and Pharmaceutical Research, 2015, 7(3):1184-1190. Research Article

Journal of Chemical and Pharmaceutical Research, 2015, 7(3):1184-1190. Research Article Available olie www.ocpr.com Joural of Chemical ad Pharmaceutical Research, 15, 7(3):1184-119 Research Article ISSN : 975-7384 CODEN(USA) : JCPRC5 Iformatio systems' buildig of small ad medium eterprises

More information

Foundations of Operations Research

Foundations of Operations Research Foudatios of Operatios Research Master of Sciece i Computer Egieerig Roberto Cordoe roberto.cordoe@uimi.it Tuesday 13.15-15.15 Thursday 10.15-13.15 http://homes.di.uimi.it/~cordoe/courses/2014-for/2014-for.html

More information

Modified Line Search Method for Global Optimization

Modified Line Search Method for Global Optimization Modified Lie Search Method for Global Optimizatio Cria Grosa ad Ajith Abraham Ceter of Excellece for Quatifiable Quality of Service Norwegia Uiversity of Sciece ad Techology Trodheim, Norway {cria, ajith}@q2s.tu.o

More information

Vladimir N. Burkov, Dmitri A. Novikov MODELS AND METHODS OF MULTIPROJECTS MANAGEMENT

Vladimir N. Burkov, Dmitri A. Novikov MODELS AND METHODS OF MULTIPROJECTS MANAGEMENT Keywords: project maagemet, resource allocatio, etwork plaig Vladimir N Burkov, Dmitri A Novikov MODELS AND METHODS OF MULTIPROJECTS MANAGEMENT The paper deals with the problems of resource allocatio betwee

More information

Taking DCOP to the Real World: Efficient Complete Solutions for Distributed Multi-Event Scheduling

Taking DCOP to the Real World: Efficient Complete Solutions for Distributed Multi-Event Scheduling Taig DCOP to the Real World: Efficiet Complete Solutios for Distributed Multi-Evet Schedulig Rajiv T. Maheswara, Milid Tambe, Emma Bowrig, Joatha P. Pearce, ad Pradeep araatham Uiversity of Souther Califoria

More information

CHAPTER 3 THE TIME VALUE OF MONEY

CHAPTER 3 THE TIME VALUE OF MONEY CHAPTER 3 THE TIME VALUE OF MONEY OVERVIEW A dollar i the had today is worth more tha a dollar to be received i the future because, if you had it ow, you could ivest that dollar ad ear iterest. Of all

More information

The analysis of the Cournot oligopoly model considering the subjective motive in the strategy selection

The analysis of the Cournot oligopoly model considering the subjective motive in the strategy selection The aalysis of the Courot oligopoly model cosiderig the subjective motive i the strategy selectio Shigehito Furuyama Teruhisa Nakai Departmet of Systems Maagemet Egieerig Faculty of Egieerig Kasai Uiversity

More information

Baan Service Master Data Management

Baan Service Master Data Management Baa Service Master Data Maagemet Module Procedure UP069A US Documetiformatio Documet Documet code : UP069A US Documet group : User Documetatio Documet title : Master Data Maagemet Applicatio/Package :

More information

Chatpun Khamyat Department of Industrial Engineering, Kasetsart University, Bangkok, Thailand ocpky@hotmail.com

Chatpun Khamyat Department of Industrial Engineering, Kasetsart University, Bangkok, Thailand ocpky@hotmail.com SOLVING THE OIL DELIVERY TRUCKS ROUTING PROBLEM WITH MODIFY MULTI-TRAVELING SALESMAN PROBLEM APPROACH CASE STUDY: THE SME'S OIL LOGISTIC COMPANY IN BANGKOK THAILAND Chatpu Khamyat Departmet of Idustrial

More information

Lesson 15 ANOVA (analysis of variance)

Lesson 15 ANOVA (analysis of variance) Outlie Variability -betwee group variability -withi group variability -total variability -F-ratio Computatio -sums of squares (betwee/withi/total -degrees of freedom (betwee/withi/total -mea square (betwee/withi

More information

Systems Design Project: Indoor Location of Wireless Devices

Systems Design Project: Indoor Location of Wireless Devices Systems Desig Project: Idoor Locatio of Wireless Devices Prepared By: Bria Murphy Seior Systems Sciece ad Egieerig Washigto Uiversity i St. Louis Phoe: (805) 698-5295 Email: bcm1@cec.wustl.edu Supervised

More information

Chapter 5 Unit 1. IET 350 Engineering Economics. Learning Objectives Chapter 5. Learning Objectives Unit 1. Annual Amount and Gradient Functions

Chapter 5 Unit 1. IET 350 Engineering Economics. Learning Objectives Chapter 5. Learning Objectives Unit 1. Annual Amount and Gradient Functions Chapter 5 Uit Aual Amout ad Gradiet Fuctios IET 350 Egieerig Ecoomics Learig Objectives Chapter 5 Upo completio of this chapter you should uderstad: Calculatig future values from aual amouts. Calculatig

More information

Reliability Analysis in HPC clusters

Reliability Analysis in HPC clusters Reliability Aalysis i HPC clusters Narasimha Raju, Gottumukkala, Yuda Liu, Chokchai Box Leagsuksu 1, Raja Nassar, Stephe Scott 2 College of Egieerig & Sciece, Louisiaa ech Uiversity Oak Ridge Natioal Lab

More information

(VCP-310) 1-800-418-6789

(VCP-310) 1-800-418-6789 Maual VMware Lesso 1: Uderstadig the VMware Product Lie I this lesso, you will first lear what virtualizatio is. Next, you ll explore the products offered by VMware that provide virtualizatio services.

More information

Project Deliverables. CS 361, Lecture 28. Outline. Project Deliverables. Administrative. Project Comments

Project Deliverables. CS 361, Lecture 28. Outline. Project Deliverables. Administrative. Project Comments Project Deliverables CS 361, Lecture 28 Jared Saia Uiversity of New Mexico Each Group should tur i oe group project cosistig of: About 6-12 pages of text (ca be loger with appedix) 6-12 figures (please

More information

Stochastic Online Scheduling with Precedence Constraints

Stochastic Online Scheduling with Precedence Constraints Stochastic Olie Schedulig with Precedece Costraits Nicole Megow Tark Vredeveld July 15, 2008 Abstract We cosider the preemptive ad o-preemptive problems of schedulig obs with precedece costraits o parallel

More information

CHAPTER 3 DIGITAL CODING OF SIGNALS

CHAPTER 3 DIGITAL CODING OF SIGNALS CHAPTER 3 DIGITAL CODING OF SIGNALS Computers are ofte used to automate the recordig of measuremets. The trasducers ad sigal coditioig circuits produce a voltage sigal that is proportioal to a quatity

More information

Section 11.3: The Integral Test

Section 11.3: The Integral Test Sectio.3: The Itegral Test Most of the series we have looked at have either diverged or have coverged ad we have bee able to fid what they coverge to. I geeral however, the problem is much more difficult

More information

Agency Relationship Optimizer

Agency Relationship Optimizer Decideware Developmet Agecy Relatioship Optimizer The Leadig Software Solutio for Cliet-Agecy Relatioship Maagemet supplier performace experts scorecards.deploymet.service decide ware Sa Fracisco Sydey

More information

CONTROL CHART BASED ON A MULTIPLICATIVE-BINOMIAL DISTRIBUTION

CONTROL CHART BASED ON A MULTIPLICATIVE-BINOMIAL DISTRIBUTION www.arpapress.com/volumes/vol8issue2/ijrras_8_2_04.pdf CONTROL CHART BASED ON A MULTIPLICATIVE-BINOMIAL DISTRIBUTION Elsayed A. E. Habib Departmet of Statistics ad Mathematics, Faculty of Commerce, Beha

More information

Automatic Tuning for FOREX Trading System Using Fuzzy Time Series

Automatic Tuning for FOREX Trading System Using Fuzzy Time Series utomatic Tuig for FOREX Tradig System Usig Fuzzy Time Series Kraimo Maeesilp ad Pitihate Soorasa bstract Efficiecy of the automatic currecy tradig system is time depedet due to usig fixed parameters which

More information

Application and research of fuzzy clustering analysis algorithm under micro-lecture English teaching mode

Application and research of fuzzy clustering analysis algorithm under micro-lecture English teaching mode SHS Web of Cofereces 25, shscof/20162501018 Applicatio ad research of fuzzy clusterig aalysis algorithm uder micro-lecture Eglish teachig mode Yig Shi, Wei Dog, Chuyi Lou & Ya Dig Qihuagdao Istitute of

More information

C.Yaashuwanth Department of Electrical and Electronics Engineering, Anna University Chennai, Chennai 600 025, India..

C.Yaashuwanth Department of Electrical and Electronics Engineering, Anna University Chennai, Chennai 600 025, India.. (IJCSIS) Iteratioal Joural of Computer Sciece ad Iformatio Security, A New Schedulig Algorithms for Real Time Tasks C.Yaashuwath Departmet of Electrical ad Electroics Egieerig, Aa Uiversity Cheai, Cheai

More information

SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES

SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES Read Sectio 1.5 (pages 5 9) Overview I Sectio 1.5 we lear to work with summatio otatio ad formulas. We will also itroduce a brief overview of sequeces,

More information

1 Correlation and Regression Analysis

1 Correlation and Regression Analysis 1 Correlatio ad Regressio Aalysis I this sectio we will be ivestigatig the relatioship betwee two cotiuous variable, such as height ad weight, the cocetratio of a ijected drug ad heart rate, or the cosumptio

More information

A Guide to the Pricing Conventions of SFE Interest Rate Products

A Guide to the Pricing Conventions of SFE Interest Rate Products A Guide to the Pricig Covetios of SFE Iterest Rate Products SFE 30 Day Iterbak Cash Rate Futures Physical 90 Day Bak Bills SFE 90 Day Bak Bill Futures SFE 90 Day Bak Bill Futures Tick Value Calculatios

More information

Research Article Sign Data Derivative Recovery

Research Article Sign Data Derivative Recovery Iteratioal Scholarly Research Network ISRN Applied Mathematics Volume 0, Article ID 63070, 7 pages doi:0.540/0/63070 Research Article Sig Data Derivative Recovery L. M. Housto, G. A. Glass, ad A. D. Dymikov

More information

Chapter XIV: Fundamentals of Probability and Statistics *

Chapter XIV: Fundamentals of Probability and Statistics * Objectives Chapter XIV: Fudametals o Probability ad Statistics * Preset udametal cocepts o probability ad statistics Review measures o cetral tedecy ad dispersio Aalyze methods ad applicatios o descriptive

More information

Your organization has a Class B IP address of 166.144.0.0 Before you implement subnetting, the Network ID and Host ID are divided as follows:

Your organization has a Class B IP address of 166.144.0.0 Before you implement subnetting, the Network ID and Host ID are divided as follows: Subettig Subettig is used to subdivide a sigle class of etwork i to multiple smaller etworks. Example: Your orgaizatio has a Class B IP address of 166.144.0.0 Before you implemet subettig, the Network

More information

Patentability of Computer Software and Business Methods

Patentability of Computer Software and Business Methods WIPO-MOST Itermediate Traiig Course o Practical Itellectual Property Issues i Busiess November 10 to 14, 2003 Patetability of Computer Software ad Busiess Methods Tomoko Miyamoto Patet Law Sectio Patet

More information

INVESTMENT PERFORMANCE COUNCIL (IPC)

INVESTMENT PERFORMANCE COUNCIL (IPC) INVESTMENT PEFOMANCE COUNCIL (IPC) INVITATION TO COMMENT: Global Ivestmet Performace Stadards (GIPS ) Guidace Statemet o Calculatio Methodology The Associatio for Ivestmet Maagemet ad esearch (AIM) seeks

More information

I. Chi-squared Distributions

I. Chi-squared Distributions 1 M 358K Supplemet to Chapter 23: CHI-SQUARED DISTRIBUTIONS, T-DISTRIBUTIONS, AND DEGREES OF FREEDOM To uderstad t-distributios, we first eed to look at aother family of distributios, the chi-squared distributios.

More information

A Combined Continuous/Binary Genetic Algorithm for Microstrip Antenna Design

A Combined Continuous/Binary Genetic Algorithm for Microstrip Antenna Design A Combied Cotiuous/Biary Geetic Algorithm for Microstrip Atea Desig Rady L. Haupt The Pesylvaia State Uiversity Applied Research Laboratory P. O. Box 30 State College, PA 16804-0030 haupt@ieee.org Abstract:

More information

IntelliSOURCE Comverge s enterprise software platform provides the foundation for deploying integrated demand management programs.

IntelliSOURCE Comverge s enterprise software platform provides the foundation for deploying integrated demand management programs. ItelliSOURCE Comverge s eterprise software platform provides the foudatio for deployig itegrated demad maagemet programs. ItelliSOURCE Demad maagemet programs such as demad respose, eergy efficiecy, ad

More information

ADAPTIVE NETWORKS SAFETY CONTROL ON FUZZY LOGIC

ADAPTIVE NETWORKS SAFETY CONTROL ON FUZZY LOGIC 8 th Iteratioal Coferece o DEVELOPMENT AND APPLICATION SYSTEMS S u c e a v a, R o m a i a, M a y 25 27, 2 6 ADAPTIVE NETWORKS SAFETY CONTROL ON FUZZY LOGIC Vadim MUKHIN 1, Elea PAVLENKO 2 Natioal Techical

More information

Annuities Under Random Rates of Interest II By Abraham Zaks. Technion I.I.T. Haifa ISRAEL and Haifa University Haifa ISRAEL.

Annuities Under Random Rates of Interest II By Abraham Zaks. Technion I.I.T. Haifa ISRAEL and Haifa University Haifa ISRAEL. Auities Uder Radom Rates of Iterest II By Abraham Zas Techio I.I.T. Haifa ISRAEL ad Haifa Uiversity Haifa ISRAEL Departmet of Mathematics, Techio - Israel Istitute of Techology, 3000, Haifa, Israel I memory

More information

5.4 Amortization. Question 1: How do you find the present value of an annuity? Question 2: How is a loan amortized?

5.4 Amortization. Question 1: How do you find the present value of an annuity? Question 2: How is a loan amortized? 5.4 Amortizatio Questio 1: How do you fid the preset value of a auity? Questio 2: How is a loa amortized? Questio 3: How do you make a amortizatio table? Oe of the most commo fiacial istrumets a perso

More information

AGC s SUPERVISORY TRAINING PROGRAM

AGC s SUPERVISORY TRAINING PROGRAM AGC s SUPERVISORY TRAINING PROGRAM Learig Today...Leadig Tomorrow The Kowledge ad Skills Every Costructio Supervisor Must Have to be Effective The Associated Geeral Cotractors of America s Supervisory

More information

Institute of Actuaries of India Subject CT1 Financial Mathematics

Institute of Actuaries of India Subject CT1 Financial Mathematics Istitute of Actuaries of Idia Subject CT1 Fiacial Mathematics For 2014 Examiatios Subject CT1 Fiacial Mathematics Core Techical Aim The aim of the Fiacial Mathematics subject is to provide a groudig i

More information

LEASE-PURCHASE DECISION

LEASE-PURCHASE DECISION Public Procuremet Practice STANDARD The decisio to lease or purchase should be cosidered o a case-by case evaluatio of comparative costs ad other factors. 1 Procuremet should coduct a cost/ beefit aalysis

More information

What is IT Governance?

What is IT Governance? 30 Caada What is IT Goverace? ad why is it importat for the IS auditor By Richard Brisebois, pricipal of IT Audit Services, Greg Boyd, Director ad Ziad Shadid, Auditor. from the Office of the Auditor Geeral

More information

NATIONAL SENIOR CERTIFICATE GRADE 12

NATIONAL SENIOR CERTIFICATE GRADE 12 NATIONAL SENIOR CERTIFICATE GRADE MATHEMATICS P EXEMPLAR 04 MARKS: 50 TIME: 3 hours This questio paper cosists of 8 pages ad iformatio sheet. Please tur over Mathematics/P DBE/04 NSC Grade Eemplar INSTRUCTIONS

More information

Domain 1: Designing a SQL Server Instance and a Database Solution

Domain 1: Designing a SQL Server Instance and a Database Solution Maual SQL Server 2008 Desig, Optimize ad Maitai (70-450) 1-800-418-6789 Domai 1: Desigig a SQL Server Istace ad a Database Solutio Desigig for CPU, Memory ad Storage Capacity Requiremets Whe desigig a

More information

Analyzing Longitudinal Data from Complex Surveys Using SUDAAN

Analyzing Longitudinal Data from Complex Surveys Using SUDAAN Aalyzig Logitudial Data from Complex Surveys Usig SUDAAN Darryl Creel Statistics ad Epidemiology, RTI Iteratioal, 312 Trotter Farm Drive, Rockville, MD, 20850 Abstract SUDAAN: Software for the Statistical

More information

Ekkehart Schlicht: Economic Surplus and Derived Demand

Ekkehart Schlicht: Economic Surplus and Derived Demand Ekkehart Schlicht: Ecoomic Surplus ad Derived Demad Muich Discussio Paper No. 2006-17 Departmet of Ecoomics Uiversity of Muich Volkswirtschaftliche Fakultät Ludwig-Maximilias-Uiversität Müche Olie at http://epub.ub.ui-mueche.de/940/

More information

Evaluating Model for B2C E- commerce Enterprise Development Based on DEA

Evaluating Model for B2C E- commerce Enterprise Development Based on DEA , pp.180-184 http://dx.doi.org/10.14257/astl.2014.53.39 Evaluatig Model for B2C E- commerce Eterprise Developmet Based o DEA Weli Geg, Jig Ta Computer ad iformatio egieerig Istitute, Harbi Uiversity of

More information

optimise your investment in Microsoft technology. Microsoft Consulting Services from CIBER

optimise your investment in Microsoft technology. Microsoft Consulting Services from CIBER optimise your ivestmet i Microsoft techology. Microsoft Cosultig Services from Microsoft Cosultig Services from MICROSOFT CONSULTING SERVICES ca help with ay stage i the lifecycle of adoptig Microsoft

More information

Open Access Non-operating Urban Infrastructure Project Management Maturity Model on Agent Construction Based on the Evolutionary Algorithm

Open Access Non-operating Urban Infrastructure Project Management Maturity Model on Agent Construction Based on the Evolutionary Algorithm Sed Orders for Reprits to reprits@bethamsciece.ae 112 The Ope Costructio ad Buildig Techology Joural, 2015, 9, 112-116 Ope Access No-operatig Urba Ifrastructure Project Maagemet Maturity Model o Aget Costructio

More information

Subject CT5 Contingencies Core Technical Syllabus

Subject CT5 Contingencies Core Technical Syllabus Subject CT5 Cotigecies Core Techical Syllabus for the 2015 exams 1 Jue 2014 Aim The aim of the Cotigecies subject is to provide a groudig i the mathematical techiques which ca be used to model ad value

More information

Domain 1 - Describe Cisco VoIP Implementations

Domain 1 - Describe Cisco VoIP Implementations Maual ONT (642-8) 1-800-418-6789 Domai 1 - Describe Cisco VoIP Implemetatios Advatages of VoIP Over Traditioal Switches Voice over IP etworks have may advatages over traditioal circuit switched voice etworks.

More information

Definition. A variable X that takes on values X 1, X 2, X 3,...X k with respective frequencies f 1, f 2, f 3,...f k has mean

Definition. A variable X that takes on values X 1, X 2, X 3,...X k with respective frequencies f 1, f 2, f 3,...f k has mean 1 Social Studies 201 October 13, 2004 Note: The examples i these otes may be differet tha used i class. However, the examples are similar ad the methods used are idetical to what was preseted i class.

More information

Quality of Service for Workflows and Web Service Processes

Quality of Service for Workflows and Web Service Processes Joural of Web Sematics (accepted, to appear 2004), Elsevier. Quality of Service for Workflows ad Web Service Processes Jorge Cardoso 1, Amit Sheth 2, Joh Miller 2, Joatha Arold 3, ad Krys Kochut 2 1 Departameto

More information

QUADRO tech. PST Flightdeck. Put your PST Migration on autopilot

QUADRO tech. PST Flightdeck. Put your PST Migration on autopilot QUADRO tech PST Flightdeck Put your PST Migratio o autopilot Put your PST Migratio o Autopilot A moder aircraft hardly remids its pilots of the early days of air traffic. It is desiged to eable flyig as

More information

A probabilistic proof of a binomial identity

A probabilistic proof of a binomial identity A probabilistic proof of a biomial idetity Joatho Peterso Abstract We give a elemetary probabilistic proof of a biomial idetity. The proof is obtaied by computig the probability of a certai evet i two

More information

Creating an Agile BI Environment

Creating an Agile BI Environment White Paper Creatig a Agile BI Eviromet The rapidly chagig IT ecoomy has iflueced the Busiess Itelligece (BI) systems to look at iovative ways to be equally fast ad flexible. There is a eed to be more

More information

CCH Accountants Starter Pack

CCH Accountants Starter Pack CCH Accoutats Starter Pack We may be a bit smaller, but fudametally we re o differet to ay other accoutig practice. Util ow, smaller firms have faced a stark choice: Buy cheaply, kowig that the practice

More information

FUEL / VEHICLE TRACKING UNIT GPS tracking and fuel monitoring solution providers

FUEL / VEHICLE TRACKING UNIT GPS tracking and fuel monitoring solution providers FUEL / VEHICLE TRACKING UNIT GPS trackig ad fuel moitorig solutio providers fuel moitorig ow olie.. Fu ckig el Tra ow o lie www.fueltracksidia.com 20 Chael GPS Receiver GSM/GPRS Commuicatio PRODUCT FEATURES

More information

Convention Paper 6764

Convention Paper 6764 Audio Egieerig Society Covetio Paper 6764 Preseted at the 10th Covetio 006 May 0 3 Paris, Frace This covetio paper has bee reproduced from the author's advace mauscript, without editig, correctios, or

More information

Multiple Representations for Pattern Exploration with the Graphing Calculator and Manipulatives

Multiple Representations for Pattern Exploration with the Graphing Calculator and Manipulatives Douglas A. Lapp Multiple Represetatios for Patter Exploratio with the Graphig Calculator ad Maipulatives To teach mathematics as a coected system of cocepts, we must have a shift i emphasis from a curriculum

More information

3. Greatest Common Divisor - Least Common Multiple

3. Greatest Common Divisor - Least Common Multiple 3 Greatest Commo Divisor - Least Commo Multiple Defiitio 31: The greatest commo divisor of two atural umbers a ad b is the largest atural umber c which divides both a ad b We deote the greatest commo gcd

More information

Prof. Dr. Liggesmeyer, 2. Fault Tree Analysis (DIN 25424, IEC 61025) Reliability Block Diagrams (IEC 61078)

Prof. Dr. Liggesmeyer, 2. Fault Tree Analysis (DIN 25424, IEC 61025) Reliability Block Diagrams (IEC 61078) (icherheit ud Zuverlässigkeit eigebetteter ysteme) afety ad Reliability Aalysis Models: Overview Classificatio of afety / Reliability Aalysis Techiques Focused Property afety, Reliability, Availability...

More information

How to read A Mutual Fund shareholder report

How to read A Mutual Fund shareholder report Ivestor BulletI How to read A Mutual Fud shareholder report The SEC s Office of Ivestor Educatio ad Advocacy is issuig this Ivestor Bulleti to educate idividual ivestors about mutual fud shareholder reports.

More information

Risk Factors Assessment for Software Development Project Based on Fuzzy Decision Making

Risk Factors Assessment for Software Development Project Based on Fuzzy Decision Making Factors Assessmet for Software Developmet Proect Based o Fuzzy Decisio Makig Shih-Tog Lu ad Shih-Heg Yu Abstract This study ivestigates ad idetifies the assessmet factors i software developmet proect risk

More information

1 Computing the Standard Deviation of Sample Means

1 Computing the Standard Deviation of Sample Means Computig the Stadard Deviatio of Sample Meas Quality cotrol charts are based o sample meas ot o idividual values withi a sample. A sample is a group of items, which are cosidered all together for our aalysis.

More information

A PROCEDURE FOR DISTRIBUTING RECRUITS IN MANPOWER SYSTEMS

A PROCEDURE FOR DISTRIBUTING RECRUITS IN MANPOWER SYSTEMS Yugoslav Joural of Operatios Research 25 (205) Number 3 445-456 DOI: 0.2298/YJOR32903E A PROCEDURE FOR DISTRIBUTING RECRUITS IN MANPOWER SYSTEMS Virtue U. EKHOSUEHI Departmet of Mathematics Uiversity of

More information

Lecture 2: Karger s Min Cut Algorithm

Lecture 2: Karger s Min Cut Algorithm priceto uiv. F 3 cos 5: Advaced Algorithm Desig Lecture : Karger s Mi Cut Algorithm Lecturer: Sajeev Arora Scribe:Sajeev Today s topic is simple but gorgeous: Karger s mi cut algorithm ad its extesio.

More information

MODELING SERVER USAGE FOR ONLINE TICKET SALES

MODELING SERVER USAGE FOR ONLINE TICKET SALES Proceedigs of the 2011 Witer Simulatio Coferece S. Jai, R.R. Creasey, J. Himmelspach, K.P. White, ad M. Fu, eds. MODELING SERVER USAGE FOR ONLINE TICKET SALES Christie S.M. Currie Uiversity of Southampto

More information

Flood Emergency Response Plan

Flood Emergency Response Plan Flood Emergecy Respose Pla This reprit is made available for iformatioal purposes oly i support of the isurace relatioship betwee FM Global ad its cliets. This iformatio does ot chage or supplemet policy

More information

DAME - Microsoft Excel add-in for solving multicriteria decision problems with scenarios Radomir Perzina 1, Jaroslav Ramik 2

DAME - Microsoft Excel add-in for solving multicriteria decision problems with scenarios Radomir Perzina 1, Jaroslav Ramik 2 Itroductio DAME - Microsoft Excel add-i for solvig multicriteria decisio problems with scearios Radomir Perzia, Jaroslav Ramik 2 Abstract. The mai goal of every ecoomic aget is to make a good decisio,

More information

Ideate, Inc. Training Solutions to Give you the Leading Edge

Ideate, Inc. Training Solutions to Give you the Leading Edge Ideate, Ic. Traiig News 2014v1 Ideate, Ic. Traiig Solutios to Give you the Leadig Edge New Packages For All Your Traiig Needs! Bill Johso Seior MEP - Applicatio Specialist Revit MEP Fudametals Ad More!

More information

Basic Elements of Arithmetic Sequences and Series

Basic Elements of Arithmetic Sequences and Series MA40S PRE-CALCULUS UNIT G GEOMETRIC SEQUENCES CLASS NOTES (COMPLETED NO NEED TO COPY NOTES FROM OVERHEAD) Basic Elemets of Arithmetic Sequeces ad Series Objective: To establish basic elemets of arithmetic

More information

G r a d e. 2 M a t h e M a t i c s. statistics and Probability

G r a d e. 2 M a t h e M a t i c s. statistics and Probability G r a d e 2 M a t h e M a t i c s statistics ad Probability Grade 2: Statistics (Data Aalysis) (2.SP.1, 2.SP.2) edurig uderstadigs: data ca be collected ad orgaized i a variety of ways. data ca be used

More information

Question 2: How is a loan amortized?

Question 2: How is a loan amortized? Questio 2: How is a loa amortized? Decreasig auities may be used i auto or home loas. I these types of loas, some amout of moey is borrowed. Fixed paymets are made to pay off the loa as well as ay accrued

More information

A Balanced Scorecard

A Balanced Scorecard A Balaced Scorecard with VISION A Visio Iteratioal White Paper Visio Iteratioal A/S Aarhusgade 88, DK-2100 Copehage, Demark Phoe +45 35430086 Fax +45 35434646 www.balaced-scorecard.com 1 1. Itroductio

More information

Hypergeometric Distributions

Hypergeometric Distributions 7.4 Hypergeometric Distributios Whe choosig the startig lie-up for a game, a coach obviously has to choose a differet player for each positio. Similarly, whe a uio elects delegates for a covetio or you

More information

Repeating Decimals are decimal numbers that have number(s) after the decimal point that repeat in a pattern.

Repeating Decimals are decimal numbers that have number(s) after the decimal point that repeat in a pattern. 5.5 Fractios ad Decimals Steps for Chagig a Fractio to a Decimal. Simplify the fractio, if possible. 2. Divide the umerator by the deomiator. d d Repeatig Decimals Repeatig Decimals are decimal umbers

More information

.04. This means $1000 is multiplied by 1.02 five times, once for each of the remaining sixmonth

.04. This means $1000 is multiplied by 1.02 five times, once for each of the remaining sixmonth Questio 1: What is a ordiary auity? Let s look at a ordiary auity that is certai ad simple. By this, we mea a auity over a fixed term whose paymet period matches the iterest coversio period. Additioally,

More information

COMPARISON OF THE EFFICIENCY OF S-CONTROL CHART AND EWMA-S 2 CONTROL CHART FOR THE CHANGES IN A PROCESS

COMPARISON OF THE EFFICIENCY OF S-CONTROL CHART AND EWMA-S 2 CONTROL CHART FOR THE CHANGES IN A PROCESS COMPARISON OF THE EFFICIENCY OF S-CONTROL CHART AND EWMA-S CONTROL CHART FOR THE CHANGES IN A PROCESS Supraee Lisawadi Departmet of Mathematics ad Statistics, Faculty of Sciece ad Techoology, Thammasat

More information

INVESTMENT PERFORMANCE COUNCIL (IPC) Guidance Statement on Calculation Methodology

INVESTMENT PERFORMANCE COUNCIL (IPC) Guidance Statement on Calculation Methodology Adoptio Date: 4 March 2004 Effective Date: 1 Jue 2004 Retroactive Applicatio: No Public Commet Period: Aug Nov 2002 INVESTMENT PERFORMANCE COUNCIL (IPC) Preface Guidace Statemet o Calculatio Methodology

More information

iprox sensors iprox inductive sensors iprox programming tools ProxView programming software iprox the world s most versatile proximity sensor

iprox sensors iprox inductive sensors iprox programming tools ProxView programming software iprox the world s most versatile proximity sensor iprox sesors iprox iductive sesors iprox programmig tools ProxView programmig software iprox the world s most versatile proximity sesor The world s most versatile proximity sesor Eato s iproxe is syoymous

More information

Trigonometric Form of a Complex Number. The Complex Plane. axis. ( 2, 1) or 2 i FIGURE 6.44. The absolute value of the complex number z a bi is

Trigonometric Form of a Complex Number. The Complex Plane. axis. ( 2, 1) or 2 i FIGURE 6.44. The absolute value of the complex number z a bi is 0_0605.qxd /5/05 0:45 AM Page 470 470 Chapter 6 Additioal Topics i Trigoometry 6.5 Trigoometric Form of a Complex Number What you should lear Plot complex umbers i the complex plae ad fid absolute values

More information

Project Scheduling Based on Multi-Agent Systems

Project Scheduling Based on Multi-Agent Systems Joural of Advaced Maagemet Sciece Vol. 3, No. 3, September 2015 Project Schedulig Based o Multi-Aget Systems Fu-Shiug Hsieh Departmet of Computer Sciece ad Iformatio Egieerig Chaoyag Uiversity of Techology

More information

Design of Auctions for Electronic Business

Design of Auctions for Electronic Business Desig of Auctios for Electroic Busiess Article Ifo: Maagemet Iformatio Systems, Vol. 5 (200), No., pp. 037-042 Received 8 September 2009 Accepted 7 April 200 UDC 004.738.5:339]::005; 005.52/.53 ; 347.45.6

More information

CS100: Introduction to Computer Science

CS100: Introduction to Computer Science Review: History of Computers CS100: Itroductio to Computer Sciece Maiframes Miicomputers Lecture 2: Data Storage -- Bits, their storage ad mai memory Persoal Computers & Workstatios Review: The Role of

More information

Basic Measurement Issues. Sampling Theory and Analog-to-Digital Conversion

Basic Measurement Issues. Sampling Theory and Analog-to-Digital Conversion Theory ad Aalog-to-Digital Coversio Itroductio/Defiitios Aalog-to-digital coversio Rate Frequecy Aalysis Basic Measuremet Issues Reliability the extet to which a measuremet procedure yields the same results

More information

This document contains a collection of formulas and constants useful for SPC chart construction. It assumes you are already familiar with SPC.

This document contains a collection of formulas and constants useful for SPC chart construction. It assumes you are already familiar with SPC. SPC Formulas ad Tables 1 This documet cotais a collectio of formulas ad costats useful for SPC chart costructio. It assumes you are already familiar with SPC. Termiology Geerally, a bar draw over a symbol

More information

Engineering Data Management

Engineering Data Management BaaERP 5.0c Maufacturig Egieerig Data Maagemet Module Procedure UP128A US Documetiformatio Documet Documet code : UP128A US Documet group : User Documetatio Documet title : Egieerig Data Maagemet Applicatio/Package

More information

In nite Sequences. Dr. Philippe B. Laval Kennesaw State University. October 9, 2008

In nite Sequences. Dr. Philippe B. Laval Kennesaw State University. October 9, 2008 I ite Sequeces Dr. Philippe B. Laval Keesaw State Uiversity October 9, 2008 Abstract This had out is a itroductio to i ite sequeces. mai de itios ad presets some elemetary results. It gives the I ite Sequeces

More information

Optimal Schedule Adjustment for Expected Aircraft Shortage in Multi-Fleet Operations

Optimal Schedule Adjustment for Expected Aircraft Shortage in Multi-Fleet Operations Iteratioal Joural of Operatios Research Iteratioal Joural of Operatios Research Vol. 2, No. 1, 31 41 (2005) Optimal Schedule Adjustmet for Expected Aircraft Shortage i Multi-Fleet Operatios Shagyao Ya

More information

LECTURE 13: Cross-validation

LECTURE 13: Cross-validation LECTURE 3: Cross-validatio Resampli methods Cross Validatio Bootstrap Bias ad variace estimatio with the Bootstrap Three-way data partitioi Itroductio to Patter Aalysis Ricardo Gutierrez-Osua Texas A&M

More information

client communication

client communication CCH Portal cliet commuicatio facig today s challeges Like most accoutacy practices, we ow use email for most cliet commuicatio. It s quick ad easy, but we do worry about the security of sesitive data.

More information

SYSTEM INFO. MDK - Multifunctional Digital Communications System. Efficient Solutions for Information and Safety

SYSTEM INFO. MDK - Multifunctional Digital Communications System. Efficient Solutions for Information and Safety Commuicatios Systems for Itercom, PA, Emergecy Call ad Telecommuicatios MDK - Multifuctioal Digital Commuicatios System SYSTEM INFO ms NEUMANN ELEKTRONIK GmbH Efficiet Solutios for Iformatio ad Safety

More information

TruStore: The storage. system that grows with you. Machine Tools / Power Tools Laser Technology / Electronics Medical Technology

TruStore: The storage. system that grows with you. Machine Tools / Power Tools Laser Technology / Electronics Medical Technology TruStore: The storage system that grows with you Machie Tools / Power Tools Laser Techology / Electroics Medical Techology Everythig from a sigle source. Cotets Everythig from a sigle source. 2 TruStore

More information

Determining the sample size

Determining the sample size Determiig the sample size Oe of the most commo questios ay statisticia gets asked is How large a sample size do I eed? Researchers are ofte surprised to fid out that the aswer depeds o a umber of factors

More information

Research Article Allocating Freight Empty Cars in Railway Networks with Dynamic Demands

Research Article Allocating Freight Empty Cars in Railway Networks with Dynamic Demands Discrete Dyamics i Nature ad Society, Article ID 349341, 12 pages http://dx.doi.org/10.1155/2014/349341 Research Article Allocatig Freight Empty Cars i Railway Networks with Dyamic Demads Ce Zhao, Lixig

More information

Using a genetic algorithm to optimize the total cost for a location-routing-inventory problem in a supply chain with risk pooling

Using a genetic algorithm to optimize the total cost for a location-routing-inventory problem in a supply chain with risk pooling Joural of Applied Operatioal Research (2012) 4(1), 2 13 2012 Tadbir Operatioal Research Group Ltd. All rights reserved. www.tadbir.ca ISSN 1735-8523 (Prit), ISSN 1927-0089 (Olie) Usig a geetic algorithm

More information

Confidence Intervals for One Mean

Confidence Intervals for One Mean Chapter 420 Cofidece Itervals for Oe Mea Itroductio This routie calculates the sample size ecessary to achieve a specified distace from the mea to the cofidece limit(s) at a stated cofidece level for a

More information