Solution Manual for Introduction to Management Science, 11/E 11th Edition Bernard W. Taylor digital download immediately after payment is complete.
Product details:
- ISBN-10 ‏ : ‎ 0132751917
- ISBN-13 ‏ : ‎ 978-0132751919
- Author:
“Introduction to Management Science” shows readers how to approach decision-making problems in a straightforward, logical way. Through the use of clear explanations and examples, this text helps readers learn how to solve problems and make decisions based on the results. The eleventh edition reflects the latest version of Excel, and provides many new problems for instructors to assign.
Table contents:
Chapter 1 Introduction 2 1.1 The Nature of Management Science 4 1.2 An Illustration of the Management Science Approach: Break-Even Analysis 7 1.3 The Impact of Management Science 13 1.4 Some Special Features of This Book 16 1.5 Summary 18 Glossary 18 Learning Aids for This Chapter in Your MS Courseware 19 Problems 19 Chapter 2 Linear Programming: Basic Concepts 22 2.1 Three Classic Applications of Linear Programming 23 2.2 A Case Study: The Wyndor Glass Co. Product-Mix Problem 26 2.3 Formulating the Wyndor Problem on a Spreadsheet 30 2.4 The Mathematical Model in the Spreadsheet 35 2.5 The Graphical Method for Solving Two-Variable Problems 37 2.6 Using Excel to Solve Linear Programming Problems 46 2.7 A Minimization Example?The Profit & Gambit Co. Advertising-Mix Problem 48 2.8 Linear Programming from a Managerial Perspective 55 2.9 Summary 56 Glossary 56 Learning Aids for This Chapter in Your MS Courseware 57 Problems 57 Case 2-1 Auto Assembly 70 Case 2-2 Cutting Cafeteria Costs 71 Case 2-3 Staffing a Call Center 72 Chapter 3 The Art of Modeling with Spreadsheets 76 3.1 A Case Study: The Everglade Golden Years Company Cash Flow Problem 78 3.2 Overview of the Process of Modeling with Spreadsheets 79 3.3 Some Guidelines for Building ?Good? Spreadsheet Models 89 3.4 Debugging a Spreadsheet Model 95 3.5 Summary 98 Glossary 99 Learning Aids for This Chapter in Your MS Courseware 99 Problems 99 Case 3-1 Prudent Provisions for Pensions 102 Chapter 4 Linear Programming: Formulation and Applications 104 4.1 A Case Study: The Super Grain Corp. Advertising-Mix Problem 106 4.2 Resource-Allocation Problems 113 4.3 Cost?Benefit?Trade-Off Problems 121 4.4 Distribution-Network Problems 128 4.5 Continuing the Super Grain Case Study 132 4.6 Mixed Problems 136 4.7 Model Formulation from a Managerial Perspective 143 4.8 Classic Applications of Linear Programming, Revisited 145 4.9 Summary 148 Glossary 148 Learning Aids for This Chapter in Your MS Courseware 148 Problems 149 Case 4-1 Fabrics and Fall Fashions 159 Case 4-2 New Frontiers 161 Case 4-3 Assigning Students to Schools 163 Case 4-4 Kuwait?s al-Manakh Stock Market 164 Chapter 5 What-If Analysis for Linear Programming 170 5.1 The Importance of What-If Analysis to Managers 171 5.2 Continuing the Wyndor Case Study 173 5.3 The Effect of Changes in One Objective Function Coefficient 176 5.4 The Effect of Simultaneous Changes in Objective Function Coefficients 182 5.5 The Effect of Single Changes in a Constraint 190 5.6 The Effect of Simultaneous Changes in the Constraints 196 5.7 Summary 201 Glossary 201 Learning Aids for This Chapter in Your MS Courseware 201 Problems 202 Case 5-1 Selling Soap 209 Case 5-2 Controlling Air Pollution 211 Case 5-3 Farm Management 213 Case 5-4 -Assigning Students to Schools (Revisited) 216 Chapter 6 Transportation and Assignment Problems 218 6.1 A Case Study: The P & T Company Distribution Problem 219 6.2 Characteristics of Transportation Problems 222 6.3 Modeling Variants of Transportation Problems 228 6.4 Some Other Applications of Variants of Transportation Problems 233 6.5 A Case Study: The Texago Corp. Site Selection Problem 241 6.6 Characteristics of Assignment Problems 250 6.7 Modeling Variants of Assignment Problems 254 6.8 Summary 261 Glossary 261 Learning Aids for This Chapter in Your MS Courseware 261 Problems 261 Case 6-1 Shipping Wood to Market 268 Case 6-2 -Continuation of the Texago Case Study 269 Case 6-3 Project Pickings 271 Chapter 7 Network Optimization Problems 274 7.1 Minimum-Cost Flow Problems 276 7.2 A Case Study: The BMZ Co. Maximum Flow Problem 283 7.3 Maximum Flow Problems 286 7.4 Shortest Path Problems 290 7.5 Minimum Spanning-Tree Problems 299 7.6 Summary 304 Glossary 305 Learning Aids for This Chapter in Your MS Courseware 306 Problems 306 Case 7-1 Aiding Allies 314 Case 7-2 Money in Motion 319 Chapter 8 PERT/CPM Models for Project Management 322 8.1 A Case Study: The Reliable Construction Co. Project 324 8.2 Using a Network to Visually Display a Project 325 8.3 Scheduling a Project with PERT/CPM 329 8.4 Dealing with Uncertain Activity Durations 339 8.5 Considering Time?Cost Trade-Offs 346 8.6 Scheduling and Controlling Project Costs 353 8.7 An Evaluation of PERT/CPM from a Managerial Perspective 359 8.8 Summary 363 Glossary 364 Learning Aids for This Chapter in Your MS Courseware 365 Problems 365 Case 8-1 Steps to Success 377 Case 8-2 ?School?s Out Forever . . .? 379 Chapter 9 Integer Programming 382 9.1 General Integer Programming 383 9.2 A Case Study: The California Manufacturing Co. Problem 390 9.3 Some Other Applications 396 9.4 Some Other Formulation Possibilities with Binary Variables 401 9.5 Some Formulation Examples 412 9.6 Summary 421 Glossary 422 Learning Aids for This Chapter in Your MS Courseware 422 Problems 423 Case 9-1 Capacity Concerns 429 Case 9-2 Assigning Art 431 Case 9-3 Stocking Sets 433 Case 9-4 -Assigning Students to Schools (Revisited) 437 Chapter 10 Nonlinear Programming 438 10.1 The Challenges of Nonlinear Programming 440 10.2 Nonlinear Programming with Decreasing Marginal Returns 448 10.3 Separable Programming 458 10.4 Difficult Nonlinear Programming Problems 468 10.5 Evolutionary Solver and Genetic Algorithms 470 10.6 Summary 475 Glossary 476 Learning Aids for This Chapter in Your MS Courseware 476 Problems 477 Case 10-1 -Continuation of the Super Grain Case Study 484 Case 10-2 Savvy Stock Selection 485 Case 10-3 International Investments 487 Chapter 11 Goal Programming 490 11.1 A Case Study: The Dewright Co. Goal-Programming Problem 491 11.2 Weighted Goal Programming 498 11.3 Preemptive Goal Programming 502 11.4 Summary 507 Glossary 507 Learning Aids for This Chapter in Your MS Courseware 508 Problems 508 Case 11-1 A Cure for Cuba 511 Case 11-2 Remembering September 11 513 Chapter 12 Decision Analysis 516 12.1 A Case Study: The Goferbroke Company Problem 518 12.2 Decision Criteria 520 12.3 Decision Trees 525 12.4 Sensitivity Analysis with Decision Trees 529 12.5 Checking Whether to Obtain More Information 534 12.6 Using New Information to Update the Probabilities 538 12.7 Using a Decision Tree to Analyze the Problem with a Sequence of Decisions 542 12.8 Performing Sensitivity Analysis on the Problem with a Sequence of Decisions 547 12.9 Using Utilities to Better Reflect the Values of Payoffs 554 12.10 The Practical Application of Decision Analysis 568 12.11 Summary 571 Glossary 571 Learning Aids for This Chapter in Your MS Courseware 572 Problems 573 Case 12-1 Brainy Business 587 Case 12-2 Smart Steering Support 589 Chapter 13 Forecasting 592 13.1 Some Applications of Forecasting 593 13.2 A Case Study: The Computer Club Warehouse (CCW) Problem 597 13.3 Applying Time-Series Forecasting Methods to the Case Study 601 13.4 Time-Series Forecasting with CB Predictor 620 13.5 The Time-Series Forecasting Methods in Perspective 623 13.6 Causal Forecasting with Linear Regression 627 13.7 Judgmental Forecasting Methods 633 13.8 Forecasting in Practice 634 13.9 Summary 635 Glossary 635 Summary of Key Formulas 636 Learning Aids for This Chapter in Your MS Courseware 637 Problems 637 Case 13-1 Finagling the Forecasts 648 Chapter 14 Queueing Models 652 14.1 Elements of a Queueing Model 653 14.2 Some Examples of Queueing Systems 661 14.3 Measures of Performance for Queueing Systems 663 14.4 A Case Study: The Dupit Corp. Problem 666 14.5 Some Single-Server Queueing Models 669 14.6 Some Multiple-Server Queueing Models 678 14.7 Priority Queueing Models 684 14.8 Some Insights about Designing Queueing Systems 690 14.9 Economic Analysis of the Number of Servers to Provide 694 14.10 Some Award-Winning Applications of Queueing Models 697 14.11 Summary 700 Glossary 700 Key Symbols 701 Learning Aids for This Chapter in Your MS Courseware 701 Problems 702 Case 14-1 Queueing Quandary 711 Case 14-2 Reducing In-Process Inventory 712 Case 14-3 KeyCorp 714 Chapter 15 Computer Simulation: Basic Concepts 720 15.1 The Essence of Computer Simulation 721 15.2 A Case Study: Herr Cutter?s Barber Shop (Revisited) 735 15.3 Analysis of the Case Study 744 15.4 Some Common Types of Applications 751 15.5 Outline of a Major Computer Simulation Study 755 15.6 Summary 759 Glossary 760 Learning Aids for This Chapter in Your MS Courseware 760 Problems 761 Case 15-1 Planning Planers 767 Case 15-2 -Reducing In-Process Inventory (Revisited) 768 Chapter 16 Computer Simulation with Crystal Ball 770 16.1 A Case Study: Freddie the Newsboy?s Problem 771 16.2 Bidding for a Construction Project: A Prelude to the Reliable Construction Co. Case Study 781 16.3 Project Management: Revisiting the Reliable Construction Co. Case Study 785 16.4 Cash Flow Management: Revisiting the Everglade Golden Years Company Case Study 791 16.5 Financial Risk Analysis: Revisiting the Think-Big Development Co. Problem 796 16.6 Revenue Management in the Travel Industry 800 16.7 Choosing the Right Distribution 805 16.8 Decision Making with Decision Tables 817 16.9 Optimizing with OptQuest 825 16.10 Summary 835 Glossary 836 Learning Aids for This Chapter in Your MS Courseware 836 Problems 836 Case 16-1 Action Adventures 842 Case 16-2 Pricing under Pressure 843 Appendix A Table for the Normal Distribution 846 Appendix B Partial Answers to Selected Problems 849 Index 858 Supplements on the CD-ROM Supplement to Chapter 8: The Procedure for Constructing a Project Network Supplement to Chapter 9: Some Perspectives on Solving Binary Integer Programming Problems Supplement to Chapter 12: Decision Criteria Supplement to Chapter 14: Finite Queue and Finite Calling Population Variations of the M/M/s Model Chapters on the CD-ROM Chapter 17 Solution Concepts for Linear Programming 17.1 Some Key Facts about Optimal Solutions 17.2 The Role of Corner Points in Searching for an Optimal Solution 17.3 Solution Concepts for the Simplex Method 17.4 Computer Implementation of the Simplex Method 17.5 The Interior-Point Approach to Solving Linear Programming Problems 17.6 Summary Glossary Learning Aids for This Chapter in Your MS Courseware Problems Supplement to Chapter 17: More About the Simplex Method Chapter 18 Inventory Management with Known Demand 18.1 A Case Study: The Atlantic Coast Tire Corp. (ACT) Problem 18.2 Cost Components of Inventory Models 18.3 The Basic Economic Order Quantity (EOQ) Model 18.4 The Optimal Inventory Policy for the Basic EOQ Model 18.5 The EOQ Model with Planned Shortages 18.6 The EOQ Model with Quantity Discounts 18.7 The EOQ Model with Gradual Replenishment 18.8 Summary Glossary Learning Aids for This Chapter in Your MS Courseware Problems Case 18-1: Brushing Up on Inventory Control Chapter 19 Inventory Management with Uncertain Demand 19.1 A Case Study for Perishable Products: Freddie the Newsboy?s Problem 19.2 An Inventory Model for Perishable Products 19.3 A Case Study for Stable Products: The Niko Camera Corp. Problem 19.4 The Management Science Team?s Analysis of the Case Study 19.5 A Continuous-Review Inventory Model for Stable Products 19.6 Larger Inventory Systems in Practice 19.7 Summary Glossary Learning Aids for This Chapter in Your MS Courseware Problems Case 19-1: TNT: Tackling Newsboy?s Teachings Case 19-2: Jettisoning Surplus Stock Introduction to Management Science A Modeling and Case Studies Approach with Spreadsheets
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