ISE Introduction to Management Science - Hillier, Frederick S.

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Résumé :
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.

Biographie:
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. Hilliers 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.

Sommaire:
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