LEADER 04290nam 2200613Ia 450 001 9910437898503321 005 20200520144314.0 010 $a1-283-61195-3 010 $a9786613924407 010 $a1-4471-4036-2 024 7 $a10.1007/978-1-4471-4036-8 035 $a(CKB)2670000000245724 035 $a(EBL)973035 035 $a(OCoLC)808814484 035 $a(SSID)ssj0000737006 035 $a(PQKBManifestationID)11378463 035 $a(PQKBTitleCode)TC0000737006 035 $a(PQKBWorkID)10782424 035 $a(PQKB)11253847 035 $a(DE-He213)978-1-4471-4036-8 035 $a(MiAaPQ)EBC973035 035 $a(PPN)168292416 035 $a(EXLCZ)992670000000245724 100 $a20120909h20122013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDecision-based design $eintegrating consumer preferences into engineering design /$fWei Chen, Christopher Hoyle, Henk Jan Wassenaar 205 $a1st ed. 2013. 210 $aLondon ;$aNew York $cSpringer$d2012, c2013 215 $a1 online resource (357 p.) 300 $aDescription based upon print version of record. 311 $a1-4471-5987-X 311 $a1-4471-4035-4 320 $aIncludes bibliographical references and index. 327 $aIntroduction to the Decision-Based Design Approach -- Decision Theory in Engineering Design -- Fundamentals of Analytical Techniques for Modeling Consumer Preferences and Choices -- Decision-Based Design Framework -- Incorporating Consumer Choice Modeling in Engineering Design ? A Step-by-Step Procedure -- Product Attribute Function Deployment for Attributes Identification -- Design of Human Appraisal Experiments in Data Collection -- Data Analysis Techniques to Support Demand Model Estimation -- Hierarchical Choice Modeling to Support Complex Systems Design -- Multi-level Optimization for Decision-Based Design -- Latent Variable Modeling -- An Enterprise-Driven Approach to Product Family Design -- Closure. 330 $aBuilding 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. 606 $aEngineering design$xData processing 606 $aSystem design 615 0$aEngineering design$xData processing. 615 0$aSystem design. 676 $a620.0042 700 $aChen$b Wei$0636150 701 $aHoyle$b Christopher$01758493 701 $aWassenaar$b Henk Jan$01758494 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437898503321 996 $aDecision-based design$94196720 997 $aUNINA