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introduction to management science 9th edition introduction to management science 9th edition introduction to management science 9th edition introduction to management science 9th edition introduction to management science 9th edition introduction to management science 9th edition introduction to management science 9th edition

Table of Contents Introduction to Management Science, Ninth Edition Table of Contents Copyright Preface 10 Learning Features 11 Microsoft Project 15 Instructors' and Students' Supplements 17 Acknowledgments 19 Chapter Management Science 20 The Management Science Approach to Problem Solving 22 Model Building: Break-Even Analysis 28 Computer Solution 34 Management Science Modeling Techniques 38 Business Usage of Management Science Techniques 41 Management Science Models in Decision Support Systems 43 Summary 46 References 47 Problems 48 Case Problem 53 Case Problem 54 Case Problem 55 Chapter Linear Programming: Model Formulation and Graphical Solution 56 Model Formulation 57 A Maximization Model Example 58 Graphical Solutions of Linear Programming Models 62 A Minimization Model Example 78 Irregular Types of Linear Programming Problems 86 Characteristics of Linear Programming Problems 90 Summary 92 References 93 Example Problem Solutions 94 Problems 98 Case Problem 108 Case Problem 109 Case Problem 110 Chapter Linear Programming: Computer Solution and Sensitivity Analysis 111 Computer Solution 112 Sensitivity Analysis 120 Summary 135 References 136 Example Problem Solution 137 Problems 140 Case Problem 155 Case Problem 157 Case Problem 158 Chapter Linear Programming: Modeling Examples 160 A Product Mix Example 161 A Diet Example 166 An Investment Example 170 A Marketing Example 177 A Transportation Example 181 A Blend Example 185 A Multiperiod Scheduling Example 190 A Data Envelopment Analysis Example 195 Summary 200 References 201 Example Problem Solution 202 Problems 205 Case Problem 239 Case Problem 240 Case Problems 242 Case Problem 244 Case Problems 246 Chapter Integer Programming 247 Integer Programming Models 248 Integer Programming Graphical Solution 253 Computer Solution of Integer Programming Problems with Excel and QM for Windows 256 01 Integer Programming Modeling Examples 264 Summary 275 References 276 Example Problem Solution 277 Problems 278 Case Problem 293 Case Problems 295 Case Problem 297 Case Problems 299 Case Problem 301 Chapter Transportation, Transshipment, and Assignment Problems 303 304 308 313 317 318 322 References 323 Example Problem Solution 324 Problems 326 Case Problem 355 Case Problem 356 Case Problem 358 Case Problem 360 Case Problem 362 Case Problem 364 Chapter Network Flow Models 367 Network Components 368 The Shortest Route Problem 370 The Minimal Spanning Tree Problem 379 The Maximal Flow Problem 384 Summary 392 References 393 Example Problem Solution 394 Problems 397 Case Problem 413 Case Problem 415 The Transportation Model Computer Solution of a Transportation Problem The Transshipment Model The Assignment Model Computer Solution of an Assignment Problem Summary 416 418 Chapter Project Management 420 The Elements of Project Management 421 CPM/PERT 429 Probabilistic Activity Times 438 Microsoft Project 446 Project Crashing and TimeCost Trade-off 452 Formulating the CPM/PERT Network as a Linear Programming Model 458 Summary 465 References 466 Example Problem Solution 467 Problems 470 Case Problem 489 Case Problem 492 Chapter Multicriteria Decision Making 494 Goal Programming 495 Graphical Interpretation of Goal Programming 500 Computer Solution of Goal Programming Problems with QM for Windows and Excel 505 The Analytical Hierarchy Process 512 Scoring Models 526 Summary 528 References 529 Example Problems Solutions 530 Problems 534 Case Problem 565 Case Problem 567 Case Problem 569 Chapter 10 Nonlinear Programming 571 Nonlinear Profit Analysis 572 Constrained Optimization 576 Solution of Nonlinear Programming Problems with Excel 579 A Nonlinear Programming Model with Multiple Constraints 583 Nonlinear Model Examples 586 Summary 592 References 593 Example Problem Solution 594 Problems 595 Case Problem 601 Case Problem 602 Chapter 11 Probability and Statistics 603 Types of Probability 604 Fundamentals of Probability 607 Statistical Independence and Dependence 612 Expected Value 621 The Normal Distribution 624 Summary 637 References 638 Example Problem Solution 639 Problems 641 Case Problem 650 Chapter 12 Decision Analysis 652 Components of Decision Making 653 Decision Making Without Probabilities 655 Case Problem Case Problem Decision Making with Probabilities 664 Decision Analysis with Additional Information 679 Utility 688 Summary 690 References 691 Example Problem Solution 692 Problems 697 Case Problem 718 Case Problem 720 Case Problem 721 Case Problem 723 Chapter 13 Queuing Analysis 725 Elements of Waiting Line Analysis 726 The Single-Server Waiting Line System 727 Undefined and Constant Service Times 739 Finite Queue Length 742 Finite Calling Population 746 The Multiple-Server Waiting Line 749 Additional Types of Queuing Systems 754 Summary 756 References 757 Example Problem Solution 758 Problems 760 Case Problems 769 Case Problem 770 Chapter 14 Simulation 772 The Monte Carlo Process 773 Computer Simulation with Excel Spreadsheets 781 Simulation of a Queuing System 787 Continuous Probability Distributions 792 Statistical Analysis of Simulation Results 798 Crystal Ball 800 Verification of the Simulation Model 808 Areas of Simulation Application 809 Summary 812 References 814 Example Problem Solution 815 Problems 818 Case Problem 836 Case Problem 838 Chapter 15 Forecasting 840 Forecasting Components 841 Time Series Methods 844 Forecast Accuracy 861 Time Series Forecasting Using Excel 867 Time Series Forecasting Using QM for Windows 870 Regression Methods 872 Summary 884 References 885 Example Problem Solutions 886 Problems 889 Case Problem 914 Case Problem 915 Case Problem 917 Chapter 16 Inventory Management 919 920 923 925 926 933 936 940 941 943 949 952 957 959 960 Example Problem Solutions 961 Problems 963 Case Problem 972 Case Problem 973 Case Problem 975 Case Problem 976 Appendix A Normal and Chi-Square Tables 978 Appendix B Setting Up and Editing a Spreadsheet 980 Titles and Headings 981 Borders 982 Column Centering 983 Deleting and Inserting Rows and Columns 984 Decimal Places 985 Increasing or Decreasing the Spreadsheet Area 986 Expanding or Reducing Column and Row Widths 987 Inserting an Equation or a Formula into a Cell 988 Printing a Spreadsheet 989 Appendix C The Poisson and Exponential Distributions 990 The Poisson Distribution 991 The Exponential Distribution 992 Solutions to Selected Odd-Numbered Problems 993 Chapter 994 Chapter 995 Chapter 997 Chapter 999 Chapter 1003 Chapter 1005 Chapter 1007 Chapter 1009 Chapter 1010 Chapter 10 1012 Chapter 11 1013 Chapter 12 1014 Chapter 13 1015 Chapter 14 1017 Chapter 15 1018 Chapter 16 1020 Glossary 1021 A 1022 Elements of Inventory Management Inventory Control Systems Economic Order Quantity Models The Basic EOQ Model The EOQ Model with Noninstantaneous Receipt The EOQ Model with Shortages EOQ Analysis with QM for Windows EOQ Analysis with Excel and Excel QM Quantity Discounts Reorder Point Determining Safety Stock By Using Service Levels Order Quantity for a Periodic Inventory System Summary References B 1024 C 1026 D 1029 E 1032 F 1035 G 1037 H 1038 I 1039 J 1041 L 1042 M 1043 N 1046 O 1047 P 1049 Q 1052 R 1053 S 1055 T 1060 U 1061 V 1062 W 1063 Z 1064 Photo Credits 1065 Module A The Simplex Solution Method 1066 Converting the Model into Standard Form 1067 The Simplex Method 1072 Summary of the Simplex Method 1086 Simplex Solution of a Minimization Problem 1087 A Mixed Constraint Problem 1093 Irregular Types of Linear Programming Problems 1097 The Dual 1106 Sensitivity Analysis 1112 Problems 1123 Module B Transportation and Assignment Solution Methods 1144 Solution of the Transportation Model 1145 Solution of the Assignment Model 1170 Problems 1175 Module C Integer Programming: The Branch and Bound Method 1197 The Branch and Bound Method 1198 Problems 1209 Module D Nonlinear Programming Solution Techniques 1212 The Substitution Method 1213 The Method of Lagrange Multipliers 1216 Problems 1219 Module E Game Theory 1222 Game Theory 1223 Types of Game Situations 1224 A Pure Strategy 1226 A Mixed Strategy 1230 Problems 1235 Module F Markov Analysis 1238 The Characteristics of Markov Analysis 1239 The Transition Matrix 1243 Steady-State Probabilities 1247 1252 1254 1258 1259 1268 1269 Have You Thought About Customizing This Book? 1270 The Prentice Hall Just-In-Time Program in Decision Science 1271 You Can Customize Your Textbook With Chapters From Any Of The Following Prentice Hall Titles 1272 Site License Agreement and Limited Warranty 1274 Index 1276 SYMBOL 1277 A 1278 B 1279 C 1280 D 1282 E 1283 F 1285 G 1286 H 1287 I 1288 J 1290 K 1291 L 1292 M 1294 N 1296 O 1297 P 1298 Q 1300 R 1301 S 1302 T 1304 U 1306 V 1307 W 1308 Y 1309 Z 1310 Additional Examples of Markov Analysis Special Types of Transition Matrices Excel Solution of the Debt Example Problems Case Problem Case Problem Introduction to Management Science, Ninth Edition Introduction to Management Science, Ninth Edition Introduction to Management Science, Ninth Edition By Bernard W Taylor III - Virginia Polytechnic Institute and State University Publisher: Prentice Hall Pub Date: February 01, 2006 Print ISBN-10: 0-13-196133-0 Print ISBN-13: 978-0-13-196133-3 Table of eText ISBN-10: 0-13-173796-1 • Contents eText ISBN-13: 978-0-13-173796-9 Pages: 800 • Index This text focuses on using simple, straightforward explanations and examples with step-by-step details of the modeling and solution techniques to make these mathematical topics less complex / 1310 Introduction to Management Science, Ninth Edition Table of Contents Introduction to Management Science, Ninth Edition By Bernard W Taylor III - Virginia Polytechnic Institute and State University Publisher: Prentice Hall Pub Date: February 01, 2006 Print ISBN-10: 0-13-196133-0 Print ISBN-13: 978-0-13-196133-3 Table of eText ISBN-10: 0-13-173796-1 • Contents eText ISBN-13: 978-0-13-173796-9 Pages: 800 • Index Copyright Preface Learning Features Microsoft Project Instructors' and Students' Supplements Acknowledgments Chapter Management Science The Management Science Approach to Problem Solving Model Building: Break-Even Analysis Computer Solution Management Science Modeling Techniques Business Usage of Management Science Techniques Management Science Models in Decision Support Systems Summary References Problems Case Problem Case Problem Case Problem Chapter Linear Programming: Model Formulation and Graphical Solution Model Formulation A Maximization Model Example Graphical Solutions of Linear Programming Models A Minimization Model Example Irregular Types of Linear Programming Problems Characteristics of Linear Programming Problems Summary References Example Problem Solutions Problems Case Problem Case Problem Case Problem Chapter Linear Programming: Computer Solution and Sensitivity Analysis Computer Solution Sensitivity Analysis Summary References Example Problem Solution Problems Case Problem Case Problem Case Problem Chapter Linear Programming: Modeling Examples A Product Mix Example xiii xiii xvi xvii xviii 12 16 18 20 22 23 23 27 27 28 29 30 30 34 47 53 55 57 57 57 61 69 70 70 71 72 79 92 92 93 95 107 108 108 110 111 / 1310 Introduction to Management Science, Ninth Edition A Diet Example An Investment Example A Marketing Example A Transportation Example A Blend Example A Multiperiod Scheduling Example A Data Envelopment Analysis Example Summary References Example Problem Solution Problems Case Problem Case Problem Case Problems Case Problem Case Problems Chapter Integer Programming Integer Programming Models Integer Programming Graphical Solution Computer Solution of Integer Programming Problems with Excel and QM for Windows 01 Integer Programming Modeling Examples Summary References Example Problem Solution Problems Case Problem Case Problems Case Problem Case Problems Case Problem Chapter Transportation, Transshipment, and Assignment Problems The Transportation Model Computer Solution of a Transportation Problem The Transshipment Model The Assignment Model Computer Solution of an Assignment Problem Summary References Example Problem Solution Problems Case Problem Case Problem Case Problem Case Problem Case Problem Case Problem Chapter Network Flow Models Network Components The Shortest Route Problem The Minimal Spanning Tree Problem The Maximal Flow Problem Summary References Example Problem Solution Problems Case Problem Case Problem Case Problem Table of Contents 111 116 119 125 129 132 135 140 144 145 145 147 176 176 177 178 179 180 181 185 187 194 203 203 203 204 216 217 218 219 220 222 223 226 230 234 235 238 239 239 240 266 266 267 268 269 270 272 273 274 281 286 292 293 293 295 314 315 317 / 1310 Introduction to Management Science, Ninth Edition N Index [SYMBOL] [A] [B] [C] [D] [E] [F] [G] [H] [I] [J] [K] [L] [M] [N] [O] [P] [Q] [R] [S] [T] [U] [V] [W] [Y] [Z] N-person game Nabisco Naïve forecasting NASA National Car Rental NBC Net (branch) flow Network Network flow models 2nd Excel 2nd maximal flow minimal spanning tree QM for Windows 2nd 3rd shortest route New York Power Authority Nodes 2nd 3rd Non-zero-sum game Nonbasic variable Noninstantaneous receipt model Nonlinear programming 2nd constrained optimization Excel 2nd 3rd 4th Lagrange multipliers 2nd substitution method Nonnegativity constraints Normal activity costs Normal activity times Normal distribution 2nd CPM/PERT network mean reorder point standard deviation Normal table 2nd 3rd Normalized matrix (AHP) Northwest corner method Nu-kote International 1296 / 1310 Introduction to Management Science, Ninth Edition O Index [SYMBOL] [A] [B] [C] [D] [E] [F] [G] [H] [I] [J] [K] [L] [M] [N] [O] [P] [Q] [R] [S] [T] [U] [V] [W] [Y] [Z] Objective function 2nd 3rd Objective probability Oglethorpe Power Corporation Ohio University Online analytical processing (OLAP) Operating characteristics (queuing) 2nd 3rd Operations research 2nd Opportunity loss Opportunity loss table Optimal solution (in linear programming) 2nd Optimistic time estimate Ordering cost 2nd 3rd Organizational breakdown structure (OBS) 1297 / 1310 Introduction to Management Science, Ninth Edition P Index [SYMBOL] [A] [B] [C] [D] [E] [F] [G] [H] [I] [J] [K] [L] [M] [N] [O] [P] [Q] [R] [S] [T] [U] [V] [W] [Y] [Z] Pairwise comparisons Parameters 2nd Payoff Payoff table Penalty cost (VAM) Performance management Periodic inventory system 2nd 3rd with variable demand Permanent set Pessimistic time estimate 2nd Pivot column Pivot column tie Pivot number Pivot row Pivot row tie (degeneracy) Poisson arrival rate 2nd Poisson distribution 2nd Polaris missile project Population mean Population variance Posterior probability 2nd table Precedence relationships 2nd Preference scale Preference vector Primal 2nd Prior probability Priorities (in goal programming) Probabilistic activity times Probabilistic techniques Probability a priori binomial distribution chi-square test classical collectively exhaustive events conditional 2nd 3rd continuous distribution cumulative distribution dependent events 2nd discrete distribution events Excel 2nd expected value experiment frequency distribution fundamentals of goodness-of-fit independent events joint joint probability table marginal 2nd mean mutually exclusive events 2nd normal distribution objective posterior 2nd prior probability distribution relative frequency revised standard deviation subjective 2nd tree unconditional variance Venn diagram Probability distribution 2nd Probability tree 1298 / 1310 Introduction to Management Science, Ninth Edition Probability tree Problem definition Product mix (linear programming) model 2nd Production lot size model Profit 2nd Profit analysis [See break-even analysis] Prohibited assignment Prohibited transportation route 2nd Project control Project crashing [See crashing] Project evaluation and review technique (PERT) 2nd Project management 2nd control 2nd cost management CPM 2nd 3rd 4th 5th 6th 7th 8th 9th crashing 2nd critical path 2nd 3rd 4th earned value analysis (EVA) elements of Gantt chart organizational breakdown structure (OBS) performance management PERT 2nd 3rd 4th 5th 6th 7th 8th 9th planning project manager project network project team responsibility assignment matrix (RAM) scope statement statement of work time management work breakdown structure (WBS) Project manager Project planning Project team Project variance Properties (of linear programming) Proportionality Prudential Securities, Inc Pseudorandom numbers Pure strategy game P 1299 / 1310 Introduction to Management Science, Ninth Edition Q Index [SYMBOL] [A] [B] [C] [D] [E] [F] [G] [H] [I] [J] [K] [L] [M] [N] [O] [P] [Q] [R] [S] [T] [U] [V] [W] [Y] [Z] QM for Windows 2nd 3rd 4th 5th 6th 7th 8th 9th 10th 11th 12th 13th 14th 15th 16th 17th 18th 19th 20th 21st 22nd 23rd 24th 25th 26th 27th 28th 29th 30th 31st 01 integer programming problem assignment problem break-even analysis 2nd CPM/PERT crashing decision analysis decision trees 2nd EOQ analysis EOQ with quantity discounts expected value forecasting 2nd game theory 2nd goal programming integer programming 2nd inventory 2nd linear programming 2nd 3rd 4th linear regression Markov analysis maximal flow problem minimal spanning tree problem mixed strategy game queuing analysis 2nd 3rd 4th 5th sensitivity analysis 2nd shortest route problem time series forecasting transportation problem Quadratic function Qualitative forecasting methods 2nd Quantitative analysis Quantitative methods Quantity discounts carrying costs as a percentage of price constant carrying costs Queue Queue discipline Queuing analysis 2nd arrival rate calling population constant service times cost trade-off Excel 2nd 3rd 4th 5th Excel QM 2nd 3rd 4th exponential distribution finite calling population finite queue multiple-server waiting line operating characteristics 2nd 3rd Poisson distribution QM for Windows 2nd 3rd 4th queue queue discipline service rate simulation single-server waiting line steady-state undefined service times utilization factor Queuing theory 1300 / 1310 Introduction to Management Science, Ninth Edition R Index [SYMBOL] [A] [B] [C] [D] [E] [F] [G] [H] [I] [J] [K] [L] [M] [N] [O] [P] [Q] [R] [S] [T] [U] [V] [W] [Y] [Z] RAND Random index Random number table Random numbers 2nd Random variables Random variations (in forecasts) Regression methods 2nd Regret 2nd 3rd Regret table Relative frequency Reorder point 2nd 3rd with variable demand with variable demand and lead time with variable lead time Responsibility assignment matrix (RAM) Revised probability Rim requirements Risk averters Risk takers Rounded down solution (in integer programming) Row operations 1301 / 1310 Introduction to Management Science, Ninth Edition S Index [SYMBOL] [A] [B] [C] [D] [E] [F] [G] [H] [I] [J] [K] [L] [M] [N] [O] [P] [Q] [R] [S] [T] [U] [V] [W] [Y] [Z] S.S Central America Saaty, Thomas Saddle point Safety stocks 2nd Sample mean Sample variance Santos, Ltd Scheduling (LP) example Scientific method Scope statement Scoring models Seasonal adjustments Seasonal factor Seasonal patterns Sensitivity analysis 2nd 3rd Sensitivity analysis (in linear programming) 2nd changes in constraint quantity values changes in objective function coefficients computer analysis Excel 2nd 3rd graphical analysis 2nd Sequential decision trees Server Service level Service rate Service times exponential distribution Set covering problem (01 integer programming) Shadow price 2nd 3rd 4th [See also dual value] Shared slack Short-range forecasts Shortage costs 2nd 3rd 4th Shortest route problem Excel linear programming formulation permanent set QM for Windows solution steps Simplex method 2nd artificial variable 2nd basic variables degeneracy entering nonbasic variable infeasible problem leaving basic variable maximization problem minimization problem mixed constraint problem 2nd multiple optimal solutions negative quantity values nonbasic variables optimal solution pivot column pivot column tie pivot number pivot row pivot row tie (degeneracy) sensitivity analysis summary steps tableau unbounded problem Simplex tableau Simulated time Simulation 2nd applications continuous probability distributions Crystal Ball environmental and resource analysis Excel 2nd 3rd 4th 1302 / 1310 Introduction to Management Science, Ninth Edition Excel 2nd 3rd 4th finance marketing Monte Carlo process of a queuing system 2nd of an inventory system production and manufacturing pseudorandom numbers public service operations random numbers 2nd statistical analysis trials verification Simultaneous solution (of linear equations) Single-server waiting line system Slack Slack variables Slope of a line 2nd 3rd Smoothing constant 2nd Solver (Excel) Soquimich (SA) Spanning tree Standard deviation 2nd Standard model form (in linear programming) Standard normal distribution State (of a system) Statement of work States of nature Statistical dependence Statistical independence Statistics Steady-state Stepping stone method closed path iteration summary steps Stigler, George 2nd Strategies (in game theory) Subjective probability 2nd Suboptimal solution Substitution method (in nonlinear programming) Surplus variables Synthesization S 1303 / 1310 Introduction to Management Science, Ninth Edition T Index [SYMBOL] [A] [B] [C] [D] [E] [F] [G] [H] [I] [J] [K] [L] [M] [N] [O] [P] [Q] [R] [S] [T] [U] [V] [W] [Y] [Z] Taco Bell 2nd Texaco Time management "Time Out" (box) 2nd 3rd 4th 5th 6th 7th 8th 9th 10th 11th 12th 13th Beer, Stafford Blackett, P.M.S Bush, Vannevar Charnes, Abraham Conant, James B Cooper, William W Dantzig, George B Dijkstra, E.W Doig, A.C Erlang, Agner Krarup Ford, L.R., Jr Fulkerson, D.R Gantt, Henry Gomory, Ralph E Harris, Ford Hitchcock, Frank L Ijiri, Yuji Kelley, James E., Jr Koopmans, T.C Land, A.H Malcolm, D.G Markov, Andrey A Morgenstern, Oskar pioneers in management science Ulam, Stanislas Von Neumann, John Walker, Morgan R Time series methods 2nd adjusted exponential smoothing exponential smoothing linear trend line moving averages seasonal adjustments weighted moving averages Total integer model 2nd Total revenue Transient state Transition matrix Transition probability Transportation problem 2nd 3rd balanced 2nd degeneracy entering nonbasic variable Excel 2nd Excel QM minimum cell cost method modified distribution method (MODI) multiple optimal solutions 2nd northwest corner method optimal solution prohibited route 2nd QM for Windows stepping stone method tableau unbalanced transportation problem 2nd Vogel's approximation method (VAM) Transportation tableau Transshipment model TreePlan 2nd Trend factor Trends (in forecasting) Trials 2nd Two-person game 1304 / 1310 Introduction to Management Science, Ninth Edition T 1305 / 1310 Introduction to Management Science, Ninth Edition U Index [SYMBOL] [A] [B] [C] [D] [E] [F] [G] [H] [I] [J] [K] [L] [M] [N] [O] [P] [Q] [R] [S] [T] [U] [V] [W] [Y] [Z] U.S Coast Guard Ulam, Stanislas Unbalanced assignment problem Unbalanced transportation problem 2nd Unbounded problem (in linear programming) Unconditional probability Unconstrained optimization Undefined service times Uniform distribution 2nd Universal product code (UPC) UPS Utiles Utility Utilization factor 1306 / 1310 Introduction to Management Science, Ninth Edition V Index [SYMBOL] [A] [B] [C] [D] [E] [F] [G] [H] [I] [J] [K] [L] [M] [N] [O] [P] [Q] [R] [S] [T] [U] [V] [W] [Y] [Z] Valley Metal Container (VMC) Value of the game Variable artificial decision 2nd dependent deviational independent slack surplus Variable costs 2nd Variance Venn diagram Verification (of simulation) Vermont Gas Systems Vogel's approximation method (VAM) Von Neumann, John 1307 / 1310 Introduction to Management Science, Ninth Edition W Index [SYMBOL] [A] [B] [C] [D] [E] [F] [G] [H] [I] [J] [K] [L] [M] [N] [O] [P] [Q] [R] [S] [T] [U] [V] [W] [Y] [Z] Waiting lines [See queuing analysis] elements of Walker, Morgan R Walt Disney Company Weighted moving average Weiss, Howard Welch's Work breakdown structure (WBS) World War II 1308 / 1310 Introduction to Management Science, Ninth Edition Y Index [SYMBOL] [A] [B] [C] [D] [E] [F] [G] [H] [I] [J] [K] [L] [M] [N] [O] [P] [Q] [R] [S] [T] [U] [V] [W] [Y] [Z] Yellow Freight Systems 1309 / 1310 Introduction to Management Science, Ninth Edition Z Index [SYMBOL] [A] [B] [C] [D] [E] [F] [G] [H] [I] [J] [K] [L] [M] [N] [O] [P] [Q] [R] [S] [T] [U] [V] [W] [Y] [Z] Zero-sum game 1310 / 1310 ... Problem Introduction to Management Science, Ninth Edition Introduction to Management Science, Ninth Edition Introduction to Management Science, Ninth Edition By Bernard W Taylor... as management science Management science encompasses a logical approach to problem solving 20 / 1310 Introduction to Management Science, Ninth Edition Chapter Management Science 21 / 1310 Introduction. .. 1310 Introduction to Management Science, Ninth Edition Chapter Management Science [Page 1] Chapter Management Science [Page 2] Management science is the application of a scientific approach to

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