Decision-Based Design (PDF)
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Building upon the fundamental principles of decision theory, Decision-Based Design: Integrating Consumer Preferences into Engineering Design presents an analytical approach to enterprise-driven Decision-Based Design (DBD) as a rigorous framework for decision making in engineering design. Once the related fundamentals of decision theory, economic analysis, and econometrics modelling are established, the remaining chapters describe the entire process, the associated analytical techniques, and the design case studies for integrating consumer preference modeling into the enterprise-driven DBD framework.
Methods for identifying key attributes, optimal design of human appraisal experiments, data collection, data analysis, and demand model estimation are presented and illustrated using engineering design case studies. The scope of the chapters also provides:
.A rigorous framework of integrating the interests from both producer and consumers in engineering design,
.Analytical techniques of consumer choice modelling to forecast the impact of engineering decisions,
.Methods for synthesizing business and engineering models in multidisciplinary design environments, and
.Examples of effective application of Decision-Based Design supported by case studies.
. Guidance for computer implementation of the methods presented using open-source software tools
No matter whether you are an engineer facing decisions in consumer related product design, an instructor or student of engineering design, or a researcher exploring the role of decision making and consumer choice modelling in design, Decision-Based Design: Integrating Consumer Preferences into Engineering Design provides a reliable reference over a range of key topics.
Christopher Hoyle is currently an Assistant Professor and the Arthur E. Hitsman Faculty Scholar in the area of Design in the Mechanical Engineering Department at Oregon State University. His current research interests are focused upon decision making in engineering design, with emphasis on the early design phase when uncertainty is high and the potential design space is large. His research contributions are to the field of Decision-Based Design, specifically in linking consumer preferences and enterprise-level objectives with the engineering design process. His areas of expertise are uncertainty propagation methodologies, Bayesian statistics and modeling, stochastic consumer choice modeling, optimization and design automation. Hoyle received his PhD from Northwestern University in Mechanical Engineering in 2009, his Master's degree in Mechanical Engineering from Purdue University in 1994, and his BS degree in General Engineering from University of Illinois at Urbana-Champaign in 1988. He served as an Adjunct Professor of Mechanical Engineering at Illinois Institute of Technology in 2009 and was a Summer Intern at the National Aeronautics and Space Administration (NASA) Ames Research Center in 2006. He was previously a Design Engineer and an Engineering Manager at Motorola, Inc. for 10years before enrolling in the PhD program at Northwestern University.
Henk Jan Wassenaar is a Senior Scientist at Zilliant, Inc. specializing in developing pricing models for business to business markets for Fortune 500 companies. He previously worked at J.D. Power and Associates conducting analysis of the automotive industry including an approach to incentives and demand modeling. Wassenaar received his PhD from University of Illinois at Chicago in Industrial Engineering and Operations Research in 2003 and his Master's degree in Mechanical Engineering from Delft University of Technology in 2000.
- Autoren: Wei Chen , Christopher Hoyle , Henk Jan Wassenaar
- 2012, 2013, 358 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 1447140362
- ISBN-13: 9781447140368
- Erscheinungsdatum: 22.08.2012
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Grösse: 7.33 MB
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