Introduction to Management Science: A Modeling & Case Studies Approach w/Spreadsheets, and Student CD-ROM (includes Microsoft Project 2000) by Hillier, Frederick S.; Hillier, Mark S.; Lieberman, Gerald J.;

Long description:

These authors are well known for their best selling text, Introduction to Operations Research. This new text is also headed for great success, as it offers a unique case-study approach, and it integrates the use of Excel. Each chapter includes a case study which is meant to show the students a real and interesting application of the topics addressed in that chapter.

Table of Contents:

1. Introduction

1.1 The Nature of Management Science

1.2 The Impact of Management Science

1.3 Some Special Features of This Book

1.4 Summary

Glossary

Problems

2. Linear Programming: Basic Concepts

2.1 Three Classic Applications of Linear Programming

2.2 A Case Study—The Wyndor Glass Co. Product-Mix Problem

2.3 Formulating a Linear Programming Model

2.4 The Graphical Method

2.5 Some Key Facts About Optimal Solutions

2.6 A Dialogue About Characteristics of Linear Programming Problems

2.7 A Minimization Example—The Profit & Gambit Co. Advertising-Mix Problem

2.8 Linear Programming from a Managerial Perspective

2.9 Summary

Glossary

Learning Aids for This Chapter in Your MS Courseware

Problems

Case 2-1: Auto Assembly

Case 2-2: Cutting Cafeteria Costs

3. Linear Programming: Formulation and Applications

3.1 A Case Study—The Super Grain Corp. Advertising-Mix Problem

3.2 Resource-Allocation Problems

3.3 Cost-Benefit Tradeoff Problems

3.4 Distribution-Network Problems

3.5 Continuing the Super Grain Case Study

3.6 Mixed Problems

3.7 Model Formulation from a Managerial Perspective

3.8 Classic Applications of Linear Programming, Revisited

3.9 Summary

Glossary

Learning Aids for This Chapter in Your MS Courseware

Problems

Case 3-1: Staffing a Call Center

Case 3-2: Fabrics and Fall Fashions

4. What-If Analysis for Linear Programming

4.1 The Importance of What-If Analysis to Managers

4.2 Continuing the Wyndor Case Study

4.3 Range-of-Optimality Sensitivity Analysis

4.4 Simultaneous Changes in Objective Function Coefficients

4.5 Shadow Price Analysis for Right-Hand Sides

4.6 Range-of-Feasibility Sensitivity Analysis

4.7 The 100% Rule for Simultaneous Changes in Right-Hand Sides

4.8 Summary

Glossary

Learning Aids for This Chapter in Your MS Courseware

Problems

Case 4-1: Controlling Air Pollution

Case 4-2: Farm Management

5. Transportation and Assignment Problems

5.1 A Case Study—The P&T Company Distribution Problem

5.2 Characteristics of Transportation Problems

5.3 Reformulating Other Problems as Transportation Problems

5.4 Some Other Applications of the Transportation Problem

5.5 A Case Study—Texago Corp. Site Selection Problem

5.6 Characteristics of Assignment Problems

5.7 Reformulating Other Problems As Assignment Problems

5.8 Summary

Glossary

Learning Aids for This Chapter in Your MS Courseware

Problems

Case 5-1: Shipping Wood to Market

Case 5-2: Project Pickings

6. Network Optimization Problems

6.1 Minimum Cost Flow Problems

6.2 A Case Study—The BMZ Co. Maximum-Flow Problem

6.3 Maximum Flow Problems

6.4 Shortest Path Problems

6.5 Minimum Spanning Tree Problems

6.6 Summary

Glossary

Learning Aids for This Chapter in Your MS Courseware

Problems

Case 6-1: Aiding Allies

Case 6-2: (To be added later)

7. Project Management with PERT/CPM

7.1 A Case Study—The Reliable Construction Co. Project

7.2 Using a Network to Visually Display a Project

7.3 Scheduling a Project with PERT/CPM

7.4 Dealing with Uncertain Activity Durations

7.5 Considering Time-Cost Trade-Offs

7.6 Scheduling and Controlling Project Costs

7.7 An Evaluation of PERT/CPM From a Managerial Perspective

7.8 Summary

Glossary

Learning Aids for This Chapter in Your MS Courseware

Problems

Case 7-1: Steps to Success

Case 7-2: “School’s out forever…”

8. Beyond Linear Programming

8.1 Integer Programming

8.2 Separable Programming

8.3 Quadratic Programming

8.4 A Case Study—The Dewright Co. Goal-Programming Problem

8.5 Goal Programming

8.6 Summary

Glossary

Learning Aids for This Chapter in Your MS Courseware

Problems

Case 8-1: Capacity Concerns

Case 8-2: International Investments

Case 8-3: Savvy Stock Selection

Case 8-4: A Cure for Cuba

9. Using Binary Integer Programming to Deal with Yes-or-No Decisions

9.1 A Case Study—The California Manufacturing Co. Problem

9.2 Some Other Applications

9.3 Some Other Formulation Possibilities with Binary Variables

9.4 Some Formulation Examples

9.5 Some Perspectives on Solving Binary Integer Programming Problems

9.6 Summary

Glossary

Learning Aids for This Chapter in Your MS Courseware

Problems

Case 9-1: Assigning Art

Case 9-2: Stocking Sets

Case 9-3: Assigning Students to Schools (Revisited)

10. Decision Analysis

10.1 A Case Study—The Goferbroke Company Problem

10.2 Formulating the Problem

10.3 Decision Criteria Without Probabilities

10.4 Decision Criteria That Use Probabilities

10.5 Checking Whether To Obtain More Information

10.6 Using New Information To Update the Probabilities

10.7 Using a Decision Tree to Analyze the Problem

10.8 Using Utilities to Better Reflect the Values of Payoffs

10.9 The Practical Application of Decision Analysis

10.10 Summary

Glossary

Learning Aids for This Chapter in Your MS Courseware

Problems

Case 10-1: Brainy Business

Case 10-2: Smart Steering Support

11. Inventory Management with Known Demand

11.1 A Case Study—The Atlantic Coast Tire Corp. (ACT) Problem

11.2 Cost Components of Inventory Models

11.3 The Basic Economic Order Quantity (EOQ) Model

11.4 The Optimal Inventory Policy for the Basic EOQ Model

11.5 The EOQ Model with Planned Shortages

11.6 The EOQ Model with Quantity Discounts

11.7 The EOQ Model with Gradual Replenishment

11.8 Summary

Glossary

Learning Aids for This Chapter in Your MS Courseware

Case 11-1: Brushing Up on Inventory Control

12. Inventory Management with Uncertain Demand

12.1 A Case Study for Perishable Products—Freddie the Newsboy’s Problem

12.2 An Inventory Model for Perishable Products

12.3 A Case Study for Stable Problems—The Niko Camera Corp. Problem

12.4 The Management Science Team’s Analysis of the Case Study

12.5 A Continuous-Review Inventory Model for Stable Products

12.6 Larger Inventory Systems in Practice

12.7 Summary

Glossary

Learning Aids for This Chapter in Your MS Courseware

Problems

Case 12-1: TNT: Tackling Newsboy’s Teachings

Case 12-2: (To be added later)

13. Forecasting

13.1 Some Applications of Forecasting

13.2 A Case Study—The Computer Club Warehouse (CCW) Problem

13.3 Applying Time Series Forecasting Methods to the Case Study

13.4 The Time Series Forecasting Methods in Perspective

13.5 Casual Forecasting with Linear Regression

13.6 Judgmental Forecasting Methods

13.7 Forecasting in Practice

13.8 Summary

Glossary

Learning Aids for This Chapter in Your MS Courseware

Problems

Case 13-1: Finagling the Forecasts

14. Queueing Models

14.1 Elements of a Queueing Model

14.2 Some Examples of Queueing Systems

14.3 Measures of Performance for Queueing Systems

14.4 A Case Study—The Dupit Corp. Problem

14.5 Some Single-Server Queueing Models

14.6 Some Multiple-Server Queueing Models

14.7 Priority Queueing Models

14.8 Some Insights About Designing Queueing Systems

14.9 Two Variations of the M/M/s Model

14.10 Economic Analysis of the Number of Servers to Provide

14.11 Some Award Winning Applications of Queueing Models

14.12 Summary

Glossary

Key Symbols

Learning Aids for This Chapter in Your MS Courseware

Problems

Case 14-1: Queueing Quandary

Case 14-2: Reducing In-Process Inventory

Case 14-3: KeyCorp

15. Computer Simulation

15.1 The Essence of Computer Simulation

15.2 A Case Study—Herr Cutter’s Barber Shop (Revisited)

15.3 Analysis of the Case Study

15.4 Some Common Types of Applications

15.5 Outline of a Computer Simulation Study

15.6 Performing Computer Simulations on Spreadsheets

15.7 Summary

Glossary

Learning Aids for This Chapter in Your MS Courseware

Problems

Case 15-1: Planning Planners

Case 15-2: Pricing Under Pressure

Supplements on the CD-ROM (packaged with the text)

16. Solution Concepts for Linear Programming

16.1 Some Key Facts About Optimal Sollutions

16.2 The Role of Corner Points in Searching for an Optimal Solution

16.3 Solution Concepts for the Simplex Method

16.4 Computer Implementation of the Simplex Method

16.5 The Interior-Point Approach to lSolving Linear Programming problems

16.6 Summary

Glossary

Learning Aids for This Chapter in Your MS Courseware

Problems

Supplement to Section 7.2: The Procedure for Constructing a Project Network

Supplement to Chapter 9: Some Perspectives on Solving Binary Integer Programming Problems

Supplement to Chapter 10: Decision Criteria without Probabilities

Supplement to Chapter 14: Finite Queue and Finite Calling Population Variations of the M/M/s Model

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