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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
- By Frank A. Tillman, Deandra T. Cassone
- Published Jan 24, 2012 by FT Press. Part of the FT Press Operations Management series.
- Copyright 2012
- Dimensions: 6" x 9"
- Pages: 272
- Edition: 1st
- Book
- ISBN-10: 0-13-286978-0
- ISBN-13: 978-0-13-286978-2
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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.
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6 of 6 people found the following review helpful
The science part of the art and science of decision making, By
This review is from: A Professional's Guide to Decision Science and Problem Solving: An Integrated Approach for Assessing Issues, Finding Solutions, and Reaching Corporate Objectives (FT Press Operations Management) (Hardcover)
Customer review from the Amazon Vine™ Program (What's this?)
Make no mistake about it, decision making is part science and part art, decisions are based on projections about the future and unless you can invent it, you do not know what the future holds. The science part of decision making involves gathering data, developing models that accurately represent your situation and then running the models with realistic input parameters. One of the most important traps that you must avoid is to not have the wish be the father of the "fact." In other words, letting your biases and optimism regarding success allow the "facts" to be altered in a way that reflects those biases.This book describes hard policies and strategies that will allow you to direct the science of decision making in a direction appropriate for your situation. From the determination of the given situation, the gathering of the hard and soft data, the development of the models and the selection of the parameters, metrics that describe business situations are put forward in... Read more
5 of 5 people found the following review helpful
Concise info but pricey, By
This review is from: A Professional's Guide to Decision Science and Problem Solving: An Integrated Approach for Assessing Issues, Finding Solutions, and Reaching Corporate Objectives (FT Press Operations Management) (Hardcover)
Customer review from the Amazon Vine™ Program (What's this?)
As a grad student preparing for my thesis, I wanted to try this book. It says it is for corporate professionals but it could be used as a graduate level textbook for any business or project management statistics course. The copy I received is a paperback and the information contained within is concise. The book seems small but the print is easy to read. The content uses plain language and technical terms are explained or defined. The book starts out with what I consider to be good advice. First, establish your objectives or goals. Or, identify what the problem is that needs to be solved. Like a road map, you need to know where you are going in order for it to be effective. The book could be used to set up a checklist for business and corporate problem solving. The book is divided into two parts. The first part covers definitions, theory and methods. The second part is a set of case studies to apply the information. If you might have to set up a metrics program for your department,...
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8 of 10 people found the following review helpful
Only an overview, By
This review is from: A Professional's Guide to Decision Science and Problem Solving: An Integrated Approach for Assessing Issues, Finding Solutions, and Reaching Corporate Objectives (FT Press Operations Management) (Hardcover)
As a professor teaching spreadsheet decision modeling (using Ragsdale text) and data mining (using Schmueli et al.) to business students, I was disappointed by this "textbook". With no chapter problems, it isn't really a classic textbook; it is priced like one, albeit not quite as expensive as the books I am using. Simply put, there is no "meat" to this rather thin book. It provides short, high-level summaries of "statistics", "data mining", "multi-criteria decision making", "sensitivity analysis", etc with nary an equation in sight. The book really aims only to provide the general structure (but not the detail) of quantitative analysis and decision science.
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Online Sample Chapter
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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