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Professional's Guide to Decision Science and Problem Solving, A: An Integrated Approach for Assessing Issues, Finding Solutions, and Reaching Corporate Objectives

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Professional's Guide to Decision Science and Problem Solving, A: An Integrated Approach for Assessing Issues, Finding Solutions, and Reaching Corporate Objectives

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  • Copyright 2012
  • Dimensions: 6" x 9"
  • Edition: 1st
  • eBook (Watermarked)
  • ISBN-10: 0-13-286985-3
  • ISBN-13: 978-0-13-286985-0

A Professional's Guide to Decision Science and Problem Solving provides an integrated, start-to-finish framework for more effective problem solving and decision making in corporations. Drawing on vast experience in the field, the authors show how to apply state-of-the-art decision science, statistical modeling, benchmarking, and processing modeling techniques together to create a robust analytical framework for better decision making in any field, especially those that rely on advanced operations management. They integrate both newly-developed and time-tested techniques into a logical, structured approach for assessing corporate issues, developing solutions, and making decisions that drive the successful achievement of corporate objectives. Coverage includes: defining objectives, exploring the environment; scoping problems and evaluating their importance; bringing data mining and statistical analysis to bear; solving problems and measuring the results; evaluating the results and performing sensitivity analysis, and more. The book concludes with three case study chapters that walk through the effective use of its methods, step-by-step. Representing a wide variety of corporate environments, these case studies underscore and demonstrate the method's exceptional adaptability. This book will be valuable in a wide range of industries, notably finance, pharmaceutical, healthcare, economics, and manufacturing.

Sample Content

Table of Contents

Preface     xiv
Part I: The Method     1
Chapter 1: Define the Objectives and Identify Metrics     3
Chapter 2: Explore the Environment     31
Chapter 3: Explore the Scope of the Problem and Its Importance     47
Chapter 4: Data Mining and Statistical Analysis     59
Chapter 5: Solve the Problem and Measure the Results     71
Chapter 6: Evaluate the Results and Do Sensitivity Analysis     81
Chapter 7: Summary of Part I     91
Part II: Case Studies     95
Chapter 8: Logistics Service Provider     97
Chapter 9: New Product Development     131
Chapter 10: Airline Merger     159
Appendix A: Overview of Methodologies     205
Appendix B: Detailed Methodologies     221
References     239
Index     241


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