Handbook of Decision Analysis
  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

About this book

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.

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Yes, you can access Handbook of Decision Analysis by Gregory S. Parnell,Terry A. Bresnick,Eric R. Johnson,Steven N. Tani,Eric Specking in PDF and/or ePUB format, as well as other popular books in Business & Decision Making. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley
Year
2025
Print ISBN
9781394283880
eBook ISBN
9781394283897
Edition
2

Table of contents

  1. Cover
  2. Table of Contents
  3. Title Page
  4. Copyright
  5. Foreword to the 1st Edition
  6. Foreword to the 2nd Edition
  7. Preface
  8. About the Companion Website
  9. 1 Introduction to Decision Analysis and Analytics
  10. 2 Decision‐Making Challenges
  11. 3 Foundations of Decision Analysis and Analytics
  12. 4 Decision Analysis Soft Skills
  13. 5 Use the Appropriate Decision Process
  14. 6 Frame the Decision Opportunity
  15. 7 Craft the Decision Objectives and Value Measures
  16. 8 Design Creative Alternatives
  17. 9 Perform Deterministic Analysis and Develop Insights
  18. 10 Quantify Uncertainty
  19. 11 Perform Probabilistic Analysis and Identify Insights
  20. 12 Portfolio Resource Allocation
  21. 13 Communicate with Decision‐Makers and Stakeholders
  22. 14 Enable Decision Implementation
  23. 15 Summary of Major Themes
  24. Appendix A: Probability Theory
  25. Appendix B: Decision Conferencing
  26. Appendix C: Resource Allocation with Incremental Benefit/Cost Analysis
  27. Appendix D: Roughneck North American Strategy
  28. Index
  29. End User License Agreement