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Introduction to Management Science: A Modeling and Case Studies Approach with Spreadsheets https://www.mheducation.com/cover-images/Jpeg_400-high/1259918920.jpeg 6 2019 9781259918926 The Sixth edition of <i>Introduction to Management Science</i> focuses on business situations, including prominent non-mathematical issues, the use spreadsheets, and involves model formulation and assessment more than model structuring. The text has three key elements: <i>modeling</i>, <i>case studies</i>, and <i>spreadsheets</i>. In addition to examples, nearly every chapter includes one or two case studies patterned after actual applications to convey the whole process of applying management science.
09781259918926
Introduction to Management Science: A Modeling and Case Studies Approach with Spreadsheets
Introduction to Management Science: A Modeling and Case Studies Approach with Spreadsheets

Introduction to Management Science: A Modeling and Case Studies Approach with Spreadsheets, 6th Edition

ISBN10: 1259918920 | ISBN13: 9781259918926
By Frederick Hillier and Mark Hillier

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* The estimated amount of time this product will be on the market is based on a number of factors, including faculty input to instructional design and the prior revision cycle and updates to academic research-which typically results in a revision cycle ranging from every two to four years for this product. Pricing subject to change at any time.

Instructor Details

The Sixth edition of Introduction to Management Science focuses on business situations, including prominent non-mathematical issues, the use spreadsheets, and involves model formulation and assessment more than model structuring. The text has three key elements: modeling, case studies, and spreadsheets. In addition to examples, nearly every chapter includes one or two case studies patterned after actual applications to convey the whole process of applying management science.

1 Introduction
2 Linear Programming: Basic Concepts
3 Linear Programming: Formulation and Applications
4 The Art of Modeling with Spreadsheets
5 What-If Analysis for Linear Programming
6 Network Optimization Problems
7 Using Binary Integer Programming to Deal with Yes-or-No Decisions
8 Nonlinear Programming
9 Decision Analysis
10 Forecasting
11 Queueing Models
12 Computer Simulation: Basic Concepts
13 Computer Simulation with Analytic Solver

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About the Author

Frederick Hillier

Professor emeritus of operations research at Stanford University. Dr. Hillier is especially known for his classic, award-winning text, Introduction to Operations Research, co-authored with the late Gerald J. Lieberman, which has been translated into well over a dozen languages and is currently in its 8th edition. The 6th edition won honorable mention for the 1995 Lanchester Prize (best English-language publication of any kind in the field) and Dr. Hillier also was awarded the 2004 INFORMS Expository Writing Award for the 8th edition. His other books include The Evaluation of Risky Interrelated Investments, Queueing Tables and Graphs, Introduction to Stochastic Models in Operations Research, and Introduction to Mathematical Programming. He received his BS in industrial engineering and doctorate specializing in operations research and management science from Stanford University. The winner of many awards in high school and college for writing, mathematics, debate, and music, he ranked first in his undergraduate engineering class and was awarded three national fellowships (National Science Foundation, Tau Beta Pi, and Danforth) for graduate study. Dr. Hillier’s research has extended into a variety of areas, including integer programming, queueing theory and its application, statistical quality control, and production and operations management. He also has won a major prize for research in capital budgeting.

Mark Hillier

Associate professor of quantitative methods at the School of Business at the University of Washington. Dr. Hillier received his BS in engineering (plus a concentration in computer science) from Swarthmore College, and he received his MS with distinction in operations research and PhD in industrial engineering and engineering management from Stanford University. As an undergraduate, he won the McCabe Award for ranking first in his engineering class, won election to Phi Beta Kappa based on his work in mathematics, set school records on the men’s swim team, and was awarded two national fellowships (National Science Foundation and Tau Beta Pi) for graduate study. During that time, he also developed a comprehensive software tutorial package, OR Courseware, for the Hillier-Lieberman textbook, Introduction to Operations Research. As a graduate student, he taught a PhD-level seminar in operations management at Stanford and won a national prize for work based on his PhD dissertation. At the University of Washington, he currently teaches courses in management science and spreadsheet modeling.

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