Professional's Guide to Decision Science and Problem Solving, A: An Integrated Approach for Assessing Issues, Finding Solutions, and Reaching Corporate Objectives
- By Frank A. Tillman, Deandra T. Cassone
- Published Dec 9, 2011 by FT Press. Part of the FT Press Operations Management series.
- Copyright 2012
- Dimensions: 6" x 9"
- Pages: 272
- Edition: 1st
- eBook (Watermarked)
- ISBN-10: 0-13-286985-3
- ISBN-13: 978-0-13-286985-0
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Product Author Bios
Dr. Frank A. Tillman (Gravois Mills, MO) is President of the management consultancies HTX International and IBES, Inc. He served as Department Head at Kansas State University, where he published more than 50 professional articles and two books, and advised several Masters and Ph.D. theses.
Dr. Deandra T. Cassone (Overland Park, KS) is Logistics Manager at Sprint and Adjunct Assistant Professor, Systems Engineering at Missouri University of Science and Technology. She has spent over 25 years in industry consulting and management roles. Her interests include building structured decision-making models; she has submitted numerous business process patents.
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.
Table of Contents
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
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