Qualitative and quantitative techniques to apply decision analysis to real-world decision problems, supported by sound mathematics, best practices, soft skills, and more
With substantive illustrations based on the authors’ personal experiences throughout, Handbook of Decision Analysis describes the philosophy, knowledge, science, and art of decision analysis. Key insights from decision analysis applications and behavioral decision analysis research are presented, and numerous decision analysis textbooks, technical books, and research papers are referenced for comprehensive coverage.
This book does not introduce new decision analysis mathematical theory, but rather ensures the reader can understand and use the most common mathematics and best practices, allowing them to apply rigorous decision analysis with confidence. The material is supported by examples and solution steps using Microsoft Excel and includes many challenging real-world problems. Given the increase in the availability of data due to the development of products that deliver huge amounts of data, and the development of data science techniques and academic programs, a new theme of this Second Edition is the use of decision analysis techniques with big data and data analytics.
Written by a team of highly qualified professionals and academics, Handbook of Decision Analysis includes information on:
- Behavioral decision-making insights, decision framing opportunities, collaboration with stakeholders, information assessment, and decision analysis modeling techniques
- Principles of value creation through designing alternatives, clear value/risk tradeoffs, and decision implementation
- Qualitative and quantitative techniques for each key decision analysis task, as opposed to presenting one technique for all decisions.
- Stakeholder analysis, decision hierarchies, and influence diagrams to frame descriptive, predictive, and prescriptive analytics decision problems to ensure implementation success
Handbook of Decision Analysis is a highly valuable textbook, reference, and/or refresher for students and decision professionals in business, management science, engineering, engineering management, operations management, mathematics, and statistics who want to increase the breadth and depth of their technical and soft skills for success when faced with a professional or personal decision.
Gregory S. Parnell, PhD, is a Professor of Practice in the Department of Industrial Engineering at the University of Arkansas in Fayetteville, AR.
Terry A. Bresnick, MBA, is President of Innovative Decision Analysis, and Lecturer in the Department of Industrial Engineering at the University of Arkansas.
Eric R. Johnson, PhD, is Director of Decision Science at GSK, where he supports drug development decision making.
Steven N. Tani, PhD, is a retired Partner and Fellow of Strategic Decisions Group.
Eric Specking, PhD, is a Principal Engineer for Infinity Labs and a Lecturer in the College of Engineering at the University of Arkansas in Fayetteville, AR.
