Introduction to Management Science: WITH Spreadsheets AND Student CD-ROM (includes Microsoft Project 2000)

1. Introduction1.1 The Nature of Management Science1.2 The Impact of Management Science1.3 Some Special Features of This Book1.4 SummaryGlossaryProblems2. Linear Programming: Basic Concepts2.1 Three Classic Applications of Linear Programming2.2 A Case Study--The Wyndor Glass Co. Product-Mix Problem2.3 Formulating a Linear Programming Model2.4 The Graphical Method2.5 Some Key Facts About Optimal Solutions2.6 A Dialogue About Characteristics of Linear Programming Problems2.7 A Minimization Example--The Profit & Gambit Co. Advertising-Mix Problem2.8 Linear Programming from a Managerial Perspective2.9 SummaryGlossaryLearning Aids for This Chapter in Your MS CoursewareProblemsCase 2-1: Auto AssemblyCase 2-2: Cutting Cafeteria Costs3. Linear Programming: Formulation and Applications3.1 A Case Study--The Super Grain Corp. Advertising-Mix Problem3.2 Resource-Allocation Problems3.3 Cost-Benefit Tradeoff Problems3.4 Distribution-Network Problems3.5 Continuing the Super Grain Case Study3.6 Mixed Problems3.7 Model Formulation from a Managerial Perspective3.8 Classic Applications of Linear Programming, Revisited3.9 SummaryGlossaryLearning Aids for This Chapter in Your MS CoursewareProblemsCase 3-1: Staffing a Call CenterCase 3-2: Fabrics and Fall Fashions4. What-If Analysis for Linear Programming4.1 The Importance of What-If Analysis to Managers4.2 Continuing the Wyndor Case Study4.3 Range-of-Optimality Sensitivity Analysis4.4 Simultaneous Changes in Objective Function Coefficients4.5 Shadow Price Analysis for Right-Hand Sides4.6 Range-of-Feasibility Sensitivity Analysis4.7 The 100% Rule for Simultaneous Changes in Right-Hand Sides4.8 SummaryGlossaryLearning Aids for This Chapter in Your MS CoursewareProblemsCase 4-1: Controlling Air PollutionCase 4-2: Farm Management5. Transportation and Assignment Problems5.1 A Case Study--The P&T Company Distribution Problem5.2 Characteristics of Transportation Problems5.3 Reformulating Other Problems as Transportation Problems5.4 Some Other Applications of the Transportation Problem5.5 A Case Study--Texago Corp. Site Selection Problem5.6 Characteristics of Assignment Problems5.7 Reformulating Other Problems As Assignment Problems5.8 SummaryGlossaryLearning Aids for This Chapter in Your MS CoursewareProblemsCase 5-1: Shipping Wood to MarketCase 5-2: Project Pickings6. Network Optimization Problems6.1 Minimum Cost Flow Problems6.2 A Case Study--The BMZ Co. Maximum-Flow Problem6.3 Maximum Flow Problems6.4 Shortest Path Problems6.5 Minimum Spanning Tree Problems6.6 SummaryGlossaryLearning Aids for This Chapter in Your MS CoursewareProblemsCase 6-1: Aiding AlliesCase 6-2: (To be added later)7. Project Management with PERT/CPM7.1 A Case Study--The Reliable Construction Co. Project7.2 Using a Network to Visually Display a Project7.3 Scheduling a Project with PERT/CPM7.4 Dealing with Uncertain Activity Durations7.5 Considering Time-Cost Trade-Offs7.6 Scheduling and Controlling Project Costs7.7 An Evaluation of PERT/CPM From a Managerial Perspective7.8 SummaryGlossaryLearning Aids for This Chapter in Your MS CoursewareProblemsCase 7-1: Steps to SuccessCase 7-2: "School's out forever!"8. Beyond Linear Programming8.1 Integer Programming8.2 Separable Programming8.3 Quadratic Programming8.4 A Case Study--The Dewright Co. Goal-Programming Problem8.5 Goal Programming8.6 SummaryGlossaryLearning Aids for This Chapter in Your MS CoursewareProblemsCase 8-1: Capacity ConcernsCase 8-2: International InvestmentsCase 8-3: Savvy Stock SelectionCase 8-4: A Cure for Cuba9. Using Binary Integer Programming to Deal with Yes-or-No Decisions9.1 A Case Study--The California Manufacturing Co. Problem9.2 Some Other Applications9.3 Some Other Formulation Possibilities with Binary Variables9.4 Some Formulation Examples9.5 Some Perspectives on Solving Binary Integer Programming Problems9.6 SummaryGlossaryLearning Aids for This Chapter in Your MS CoursewareProblemsCase 9-1: Assigning ArtCase 9-2: Stocking SetsCase 9-3: Assigning Students to Schools (Revisited)10. Decision Analysis10.1 A Case Study--The Goferbroke Company Problem10.2 Formulating the Problem10.3 Decision Criteria Without Probabilities10.4 Decision Criteria That Use Probabilities10.5 Checking Whether To Obtain More Information10.6 Using New Information To Update the Probabilities10.7 Using a Decision Tree to Analyze the Problem10.8 Using Utilities to Better Reflect the Values of Payoffs10.9 The Practical Application of Decision Analysis10.10 SummaryGlossaryLearning Aids for This Chapter in Your MS CoursewareProblemsCase 10-1: Brainy BusinessCase 10-2: Smart Steering Support11. Inventory Management with Known Demand11.1 A Case Study--The Atlantic Coast Tire Corp. (ACT) Problem11.2 Cost Components of Inventory Models11.3 The Basic Economic Order Quantity (EOQ) Model11.4 The Optimal Inventory Policy for the Basic EOQ Model11.5 The EOQ Model with Planned Shortages11.6 The EOQ Model with Quantity Discounts11.7 The EOQ Model with Gradual Replenishment11.8 SummaryGlossaryLearning Aids for This Chapter in Your MS CoursewareCase 11-1: Brushing Up on Inventory Control12. Inventory Management with Uncertain Demand12.1 A Case Study for Perishable Products--Freddie the Newsboy's Problem12.2 An Inventory Model for Perishable Products12.3 A Case Study for Stable Problems--The Niko Camera Corp. Problem12.4 The Management Science Team's Analysis of the Case Study12.5 A Continuous-Review Inventory Model for Stable Products12.6 Larger Inventory Systems in Practice12.7 SummaryGlossaryLearning Aids for This Chapter in Your MS CoursewareProblemsCase 12-1: TNT: Tackling Newsboy's TeachingsCase 12-2: (To be added later)13. Forecasting13.1 Some Applications of Forecasting13.2 A Case Study--The Computer Club Warehouse (CCW) Problem13.3 Applying Time Series Forecasting Methods to the Case Study13.4 The Time Series Forecasting Methods in Perspective13.5 Casual Forecasting with Linear Regression13.6 Judgmental Forecasting Methods13.7 Forecasting in Practice13.8 SummaryGlossaryLearning Aids for This Chapter in Your MS CoursewareProblemsCase 13-1: Finagling the Forecasts14. Queueing Models14.1 Elements of a Queueing Model14.2 Some Examples of Queueing Systems14.3 Measures of Performance for Queueing Systems14.4 A Case Study--The Dupit Corp. Problem14.5 Some Single-Server Queueing Models14.6 Some Multiple-Server Queueing Models14.7 Priority Queueing Models14.8 Some Insights About Designing Queueing Systems14.9 Two Variations of the M/M/s Model14.10 Economic Analysis of the Number of Servers to Provide14.11 Some Award Winning Applications of Queueing Models14.12 SummaryGlossaryKey SymbolsLearning Aids for This Chapter in Your MS CoursewareProblemsCase 14-1: Queueing QuandaryCase 14-2: Reducing In-Process InventoryCase 14-3: KeyCorp15. Computer Simulation15.1 The Essence of Computer Simulation15.2 A Case Study--Herr Cutter's Barber Shop (Revisited)15.3 Analysis of the Case Study15.4 Some Common Types of Applications15.5 Outline of a Computer Simulation Study15.6 Performing Computer Simulations on Spreadsheets15.7 SummaryGlossaryLearning Aids for This Chapter in Your MS CoursewareProblemsCase 15-1: Planning PlannersCase 15-2: Pricing Under PressureSupplements on the CD-ROM (packaged with the text)16. Solution Concepts for Linear Programming16.1 Some Key Facts About Optimal Sollutions16.2 The Role of Corner Points in Searching for an Optimal Solution16.3 Solution Concepts for the Simplex Method16.4 Computer Implementation of the Simplex Method16.5 The Interior-Point Approach to lSolving Linear Programming problems16.6 SummaryGlossaryLearning Aids for This Chapter in Your MS CoursewareProblemsSupplement to Section 7.2: The Procedure for Constructing a Project NetworkSupplement to Chapter 9: Some Perspectives on Solving Binary Integer Programming ProblemsSupplement to Chapter 10: Decision Criteria without ProbabilitiesSupplement to Chapter 14: Finite Queue and Finite Calling Population Variations of the M/M/s Model