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Introduction to Management Science, 13th edition

Published by Pearson (October 8, 2018) © 2019

  • Bernard W. Taylor Virginia Politechnic Institute and State University

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For management science courses.

A logical, step-by-step approach to complex problem-solving

Introduction to Management Science gives students a strong foundation in how to make decisions and solve complex problems using both quantitative methods and software tools.

In addition to new examples, problem sets and cases, the 13th Edition incorporates Excel® 2016 and other software resources. This helps develop students' ability to leverage the technology they'll use throughout their careers. By practicing these modeling techniques, students gain a useful framework for problem-solving that they can then apply in the workplace.

Hallmark features of this title

A focus on developing quantitative skills

  • Examples and Example Problems demonstrate how problems are solved using different quantitative techniques. Students can use these as a model for future course work and in their careers.

Problem-solving using the latest software tools

  • 175+ spreadsheet screenshots appear throughout the text, most of which include reference boxes to describe the solution steps. Data files for these model solutions can be used for homework problems.
  • Data sets and additional files that enable the use of software tools with this text are available on the companion website.

New and updated features of this title

A focus on developing quantitative skills

  • EXPANDED: 800+ Homework Problems and 69 Cases give students additional practice opportunities to master the topic at hand.
  • 25% NEW: 48 Management Science Application boxes describe how a company, organization or agency use a management science technique to compete in a domestic or global environment.

Problem-solving using the latest software tools

  • UPDATED: Excel 2016 Spreadsheet solutions are demonstrated for virtually every management science modeling technique presented.
  • UPDATED: The latest versions of Excel QM for Windows, Risk Solver Platform for Education, TreePlan, Crystal Ball by Oracle, and Microsoft Project, used by businesses and organizations, are included for further learner exploration.
  1. Management Science
  2. Linear Programming: Model Formulation and Graphical Solution
  3. Linear Programming: Computer Solution and Sensitivity Analysis
  4. Linear Programming: Modeling Examples
  5. Integer Programming
  6. Transportation, Transshipment, and Assignment Problems
  7. Network Flow Models
  8. Project Management
  9. Multicriteria Decision Making
  10. Nonlinear Programming
  11. Probability and Statistics
  12. Decision Analysis
  13. Queuing Analysis
  14. Simulation
  15. Forecasting
  16. Inventory Management

APPENDICES

  1. Normal and Chi-Square Tables
  2. Setting Up and Editing a Spreadsheet
  3. The Poisson and Exponential Distributions
  • Solutions to Selected Odd-Numbered Problems

The following items can be found on the companion website that accompanies this text:

  • Module A: The Simplex Solution Method
  • Module B: Transportation and Assignment Solution Methods
  • Module C: Integer Programming: The Branch and Bound Method
  • Module D: Nonlinear Programming Solution Techniques
  • Module E: Game Theory
  • Module F: Markov Analysis

About our author

Bernard W. Taylor, III received the PhD and MBA from the University of Georgia and a BIE from the Georgia Institute of Technology. He has served as President of the Decision Sciences Institute and as a member of its Executive Committee and Board of Directors. He also served as the Program Chair for the 1988 National Decision Sciences Institute (DSI) Meeting in Las Vegas, Associate Program Chairman, Council Member, Vice-President, Treasurer, and as the Editor of Decision Line, the newsletter of DSI. He was named a Fellow of DSI in 1984. He is a past President, Vice-President, and Program Chairman of the Southeast Decision Sciences Institute.

In 1991 he was the recipient of the Distinguished Service Award from DSI, and in 1984 he received the Distinguished Service Award for Southeast DSI. He is author of the book Introduction to Management Science (Pearson, 12th edition), and co-author of Operations Management (Wiley, 9th edition), and, Management Science (W.C. Brown, 4th edition). Dr. Taylor has published numerous articles in such journals as Operations Research, Management Science, Decision Sciences, IIE Transactions, Journal of the Operational Research Society, Computers and Operations Research, Omega, and the International Journal of Production Research, among others. In 1984 he received the Stanley T. Hardy Award for the greatest contribution to the field of production and operations management for his paper in Decision Sciences (with Huang and Rees) on the Japanese kanban production system. He has also served on the editorial boards of the Journal of Operations Management, Production and Operations Management, Journal of Management, the Review of Business and Economic Research, and Computers and Operations Research.

Taylor's research and teaching interests are in the areas of management science applications and operations management. He has received the University Certificate of Teaching Excellence on 4 occasions and the College of Business Teaching Excellence Award once. In 1989 he was awarded the College of Business PhD Teaching Excellence Award. He served as Head of the Department of Business Information Technology from 1983 to 2017.

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