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Decision-Based Design: Integrating Consumer Preferences into Engineering Design

Kataloginformation Katalogdatensatz500177022 .

Kataloginformation
Feldname	Details
Vorliegende Sprache	eng
ISBN	978-1-4471-4035-1
Name	Chen, Wei
Name	Hoyle, Christopher
Name ANZEIGE DER KETTE	Hoyle, Christopher
Name	Wassenaar, Henk Jan
T I T E L	Decision-Based Design
Zusatz zum Titel	Integrating Consumer Preferences into Engineering Design
Verlagsort	London
Verlag	Springer
Erscheinungsjahr	2013
Erscheinungsjahr	2013
Umfang	Online-Ressource (XIV, 357 p. 115 illus., 8 illus. in color, digital)
Reihe	SpringerLink. Bücher
Notiz / Fußnoten	Description based upon print version of record
Weiterer Inhalt	Decision-Based Design; Preface; Contents; Part I Theory; 1 Decision-Based Design: An Approach for Enterprise-Driven Engineering Design; 1.1…Motivation for Enterprise-Driven Decision-Based DesignDecision-Based Design; 1.2…Decision-Based DesignDecision-Based Design: An Overview; 1.3…Organization of the Book; 2 DecisionDecision Theory in Engineering Design; 2.1…Fundamentals of DecisionDecision Theory; 2.2…Desirable Properties of a Design Selection Method and Related Economic Principles; 2.3…Paradox of Multi-Criteria Alternative Selection Methods for Engineering Design. 2.3.1 Paradox of Multiple Decision MakersParadox of Multiple Decision Makers or Multicriteria Alternative Selection Processes2.3.2 Problems with Normalization, Scaling, and Translation; 2.3.3 Problems with Assigning WeightsWeights; 2.3.4 Problems with Multi-Attribute RankingMulti-Attribute Ranking; 2.3.5 Problems with Multi-Attribute Utility FunctionMulti-Attribute Utility Function; 2.3.6 Limitations of the Multi-Attribute ApproachLimitations of the Multi-Attribute Approach in Dealing with UncertaintyUncertainty; 2.4…Limitations of Existing Design Approaches for Alternative Selection. 2.5…An Enterprise-Driven Design Approach to Modeling Designer Preference2.6…Summary; References; 3 Fundamentals of Analytical Techniques for Modeling Consumer Preferences and Choices; 3.1…Modeling Heterogeneous Customer Preference: State of the Art; 3.2…Discrete Choice AnalysisDiscrete Choice Analysis Discrete Choice Analysis for Choice Modeling; 3.2.1 Basic Concepts of Discrete Choice AnalysisDiscrete Choice Analysis; 3.2.2 Multinomial Logit (MNL)Multinomial Logit (MNL); 3.2.3 Nested LogitNested Logit (NL); 3.2.4 Mixed LogitMixed Logit (MXL). 3.2.5 Importance of Modeling Heterogeneous Customer Preferences3.3…Ordered Logit for Modeling Rating Responses; 3.4…Computational Techniques for Estimation of DCA and OL Models; 3.4.1 Maximum Likelihood EstimationMaximum Likelihood Estimation; 3.4.2 Hierarchical Bayes EstimationHierarchical Bayes Estimation; 3.5…Guidelines for Demand Estimation Process in Product Design; 3.5.1 Attributes and Choice Set IdentificationChoice Set Identification; 3.5.2 Data Collection, Stated Choice Versus Revealed Choice; 3.5.3 Data Collection, Survey Respondent Sampling. 3.5.4 Identification of Market SegmentsMarket Segments3.5.5 Fitting the Choice Model; 3.5.6 Demand Estimation Using the Choice Model; 3.5.7 Dynamic Demand ModelingDynamic Demand Modeling in Product Life Cycle; 3.5.8 Choice Model SelectionModel Selection and ValidationValidation; 3.6…Case Study: Walk-through of a Typical MNL Model Estimation; 3.6.1 Constructing the Choice Set; 3.6.2 Walk-Through of a Typical MNL Model Estimation; 3.7…Summary; 3.8…Additional Resources for Computational Implementation. A.0. Appendix A: Introduction to Conjoint Analysis3.9…Appendix 3 Introduction to Conjoint Analysis
Titelhinweis	Buchausg. u.d.T.ISBN: 978-1-447-14035-1
ISBN	ISBN 978-1-4471-4036-8
Klassifikation	TBD
	TEC016020
	TEC016000
	*90-02
	90B06
	90B50
	620.0042
	TA174
	ZG 9148
Kurzbeschreibung	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. 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.
SWB-Titel-Idn	373430701
Signatur	Springer E-Book
Bemerkungen	Elektronischer Volltext - Campuslizenz
Elektronische Adresse	$uhttp://dx.doi.org/10.1007/978-1-4471-4036-8
Internetseite / Link	Volltext
Siehe auch	Volltext
Siehe auch	Inhaltstext

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