This textbook is about three key aspects of system design: decision making under uncertainty, trade-off studies and formal risk analyses. Recognizing that the mathematical treatment of these topics is similar, the authors generalize existing mathematical techniques to cover all three areas. Common to these topics are importance weights, combining functions, scoring functions, quantitative metrics, prioritization and sensitivity analyses. Furthermore, human decision-making activities and problems use these same tools. Therefore, these problems are also treated uniformly and modeled using prospect theory. Aimed at both engineering and business practitioners and students interested in systems engineering, risk analysis, operational management, and business process modeling, Tradeoff Decisions in System Design explains how humans can overcome cognitive biases and avoid mental errors when conducting trade-off studies and risk analyses in a wide range of domains. With generous use of examples as a common thread across chapters this book.
This textbook is about three key aspects of system design: decision making under uncertainty, trade-off studies and formal risk analyses. Recognizing that the mathematical treatment of these topics is similar, the authors generalize existing mathematical techniques to cover all three areas. Common to these topics are importance weights, combining functions, scoring functions, quantitative metrics, prioritization and sensitivity analyses. Furthermore, human decision-making activities and problems use these same tools. Therefore, these problems are also treated uniformly and modeled using prospect theory. Aimed at both engineering and business practitioners and students interested in systems engineering, risk analysis, operational management, and business process modeling, Tradeoff Decisions in System Design explains how humans can overcome cognitive biases and avoid mental errors when conducting trade-off studies and risk analyses in a wide range of domains. With generous use ofexamples as a common thread across chapters this book.
“This book provides an excellent road map for designing and producing competitive products.”
Facilitates student understanding of decisions under uncertainty, a methodology common to a variety of courses including Systems Engineering, Operational Management, Decision Science, and Risk Analysis Covers in a single volume three distinct but related areas in engineering decision making, namely requirements discovery, tradeoff studies and risk analysis. These areas share common mathematical underpinnings; this insight allows readers to develop a sound understanding of techniques and their interpretation in each area Employs a visually orientated approach that requires only a modest background in probability and statistics Illuminates and summarizes key concepts with dozens of slides for each chapter, supplemented with 400 detailed figures and tables Reinforces understanding with specific homework examples Employs UML and SysML graphical modeling languages Includes supplementary material: sn.pub/extras
A. Terry Bahill
Decision Making under Uncertainty Decision Science Human Decision Making Multiobjective Decision-Making/Multicriteria Decision-Making Operational Management Optimal Decision Making Prospect Theory Risk Management Analysis, Assessment, and Communication System Design Tradeoff Studies/Tradeoff Analyses