Management Science: The Art of Modeling with Spreadsheets / Edition 3

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Overview

Management Science provides students and business analysts with the technical knowledge and skill needed to develop real expertise in business modeling. The authors cover spreadsheet engineering, management science, and the modeling craft. The text is designed to improve modeling efficiency and modeling effectiveness by focusing on the most important tasks and tools.

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Product Details

  • ISBN-13: 9780470530672
  • Publisher: Wiley
  • Publication date: 10/26/2010
  • Edition description: Older Edition
  • Edition number: 3
  • Pages: 528
  • Product dimensions: 8.70 (w) x 11.00 (h) x 1.00 (d)

Meet the Author

Stephen G. Powell has been Professor of Business Administration at Dartmouth College since 1987. He teaches courses in management science, including the core Decision Science course, and electives in the Art of Modeling and Applications of Simulation. His research interests include modeling production lines and service sector business processes, as well as how novices formulate models and use models in decision making. He is co-author of The Art of Modeling with Spreadsheets, with Ken Baker, and recipient of the 2001 INFORMS Prize for Teaching of OR/MS Practice. He is also working with the Tuck Spreadsheet Engineering Research Project, a three-year project to study how individuals and organizations use spreadsheets and to identify best practices.

Ken Baker is a faculty member at Dartmouth College. He is currently Nathaniel Leverone Professor of Management at the Tuck School of Business and also Adjunct Professor at the Thayer School of Engineering. At Dartmouth, he has taught courses relating to Decision Science, Manufacturing Management, and Environmental Management. Over the years, much of his teaching and research has dealt with Production Planning and Control, and he is widely known for his textbook, Elements of Sequencing and Scheduling, in addition to a variety of technical articles. He has served as Tuck School’s Associate Dean and directed the Tuck School’s management development programs in the manufacturing area. In 2001, he was named a Fellow of INFORMS’ Manufacturing and Service Operations Management (MSOM) Society.

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Table of Contents

Ch. 1 Introduction 1

Ch. 2 Modeling in a Problem-Solving Framework 17

Ch. 3 Basic Excel Skills 52

Ch. 4 Advanced Excel Skills 73

Ch. 5 Spreadsheet Engineering 85

Ch. 6 Analysis Using Spreadsheets 123

Ch. 7 Data Analysis for Modeling 140

Ch. 8 Regression Analysis 162

Ch. 9 Short-Term Forecasting 189

Ch. 10 Nonlinear Optimization 214

Ch. 11 Linear Programming 246

Ch. 12 Network Models 285

Ch. 13 Integer Programming 317

Ch. 14 Decision Analysis 342

Ch. 15 Monte Carlo Simulation 370

Ch. 16 Optimization in Simulation 436

Modeling Cases 478

App Basic Probability Concepts 494

Index 505

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