Emphasizes building the most appropriate model possible from the available data.

* Major focus is on analysis and communication of results to management. Teaches readers how to conduct a management science study, analyze different situations, break down the steps of problem-solving, write a business report, and effectively communicate study results to management.

* A supporting CD-ROM is packaged with every book to include three complete additional chapters, additional cases and problems for every chapter, coverage of key algorithms and derivations, a review of statistics, the complete WINQSB package developed by Yih-Long Chang, and Excel files for every chapter.

* Computer Integrated Approach: Use of Excel, WinQSB, and LINDO for windows integrated throughout text for use in solving models.

Lawrence and Pasternack (both information systems and decision science, California State U., Fullerton) present the second edition of this text for students of management science. The text focuses on modeling management science problems, analyzing the models, and communicating the results. The new edition uses Microsoft Excel, and includes Excel templates to solve most models in the text; the templates and several Excel Add-In programs are included on the accompanying CD-ROM. The original text has been streamlined and reorganized, and includes new coverage of models for data envelopment analysis and supply chain management, as well as an expanded and improved simulation chapter.
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* Computer Integrated Approach: Use of Excel, WinQSB, and LINDO for windows integrated throughout text for use in solving models.

This innovative book shows readers how to use the management science results in actual managerial decision making. It focuses on real-world applications and using software rather than straight mathematics. This approach allows readers to concentrate on learning to use the management science results in managerial decision making.

Introduction to Management Science Models.

Linear and Integer Programming Models.

Applications of Linear and Integer Programming Models.

Network Models.

Project Scheduling Models.

Decision Models.

Forecasting.

Inventory Models.

Queuing Models.

Simulation Models.

Appendix A: Standard Normal Distribution.

Appendix B: Partial Expectations of the Standard Normal Distribution.

Appendix C: Pseudo-Random Numbers.

Appendix D: t-Distribution.

Appendix E: X»2 Distribution.

Appendix F: F Distribution.

Appendix G: Constants for Quality Control Charts.

Appendix H: Critical Values of Spearman's Rank Correlation Coefficient.

Glossary.

Answers to Selected Problems.

Photo Credis.

Index.