| Description |
xiv, 357 pages : illustrations (some color) ; 24 cm |
| Contents |
Contents note continued: 2.5.An Enterprise-Driven Design Approach to Modeling Designer Preference -- 2.6.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 Analysis for Choice Modeling -- 3.2.1.Basic Concepts of Discrete Choice Analysis -- 3.2.2.Multinomial Logit (MNL) -- 3.2.3.Nested Logit (NL) -- 3.2.4.Mixed Logit (MXL) -- 3.2.5.Importance of Modeling Heterogeneous Customer Preferences -- 3.3.Ordered Logit for Modeling Rating Responses -- 3.4.Computational Techniques for Estimation of DCA and OL Models -- 3.4.1.Maximum Likelihood Estimation -- 3.4.2.Hierarchical Bayes Estimation -- 3.5.Guidelines for Demand Estimation Process in Product Design -- 3.5.1.Attributes and Choice Set Identification -- 3.5.2.Data Collection, Stated Choice Versus Revealed Choice -- 3.5.3.Data Collection, Survey Respondent Sampling -- |
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Contents note continued: 3.5.4.Identification of Market Segments -- 3.5.5.Fitting the Choice Model -- 3.5.6.Demand Estimation Using the Choice Model -- 3.5.7.Dynamic Demand Modeling in Product Life Cycle -- 3.5.8.Choice Model Selection and Validation -- 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 -- References -- 4.Decision-Based Design Framework -- 4.1.Decision-Based Design Framework and Taxonomy -- 4.2.Integration of Discrete Choice Analysis Into DBD for Demand Modeling -- 4.2.1.Economic Principles for Demand Analysis -- 4.2.2.Capability of Discrete Choice Analysis Approach in Avoiding Arrow's Impossibility -- 4.3.Procedure for Implementing the Proposed DBD Framework -- 4.4.Case Study 1: An Electric Motor Design Example -- 4.5.Case Study 2: Vehicle Engine Design Example -- 4.6.Summary -- |
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Contents note continued: References -- pt. II Techniques -- 5.Product Attribute Function Deployment for Attribute Identification, Concept Selection, and Target Setting -- 5.1.The Product Attribute Function Deployment Method -- 5.1.1.Mapping of Attributes -- 5.1.2.Estimation of a Choice Model Using PAFD -- 5.2.Case Study: Automotive Pressure Sensor Design -- 5.2.1.QFD Analysis of MAP Sensor -- 5.2.2.PAFD Analysis of MAP Sensor -- 5.2.3.Comparison of PAFD and QFD Results -- 5.2.4.Validation and Discussion of the PAFD Method -- 5.3.Summary -- References -- 6.Design of Experiments for Eliciting Customer Preferences -- 6.1.Introduction to Design of Experiments Methodology -- 6.2.Overview of Design of Experiments for Preference Modeling -- 6.2.1.Standard Methods for Design of Experiments -- 6.2.2.Blocked and Split-Plot Design of Experiments -- 6.3.Stated Preference Experiments -- 6.3.1.Design Approaches for Stated Preference Experiments -- |
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Contents note continued: 6.3.2.Characteristics of Stated Preference Experiments -- 6.3.3.Issues in Stated Preference Experiments -- 6.4.Optimal Experimental Design Method for Human Appraisals Using Rating Responses -- 6.4.1.Optimal Experimental Design Selection Criterion -- 6.4.2.Derivation of Human Appraisal Experiment Selection Criterion -- 6.4.3.Optimal Human Appraisal Algorithmic Implementation -- 6.5.Optimal Experimental Design for Choice Experiments -- 6.6.Case Study: Automotive Occupant Packaging -- 6.6.1.Design of PVM Experiments -- 6.6.2.Results of Random Effects Ordered Logit Model Estimation -- 6.7.Summary -- 6.8.Additional Resources for Computational Implementation -- References -- 7.Data Analysis Techniques to Support Demand Model Estimation -- 7.1.Introduction to Multivariate Statistical Methods -- 7.2.Programmable Vehicle Model (PVM) for Human Appraisal Experiments -- 7.3.Methods for Data Preprocessing (Understanding) -- |
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Contents note continued: 7.3.1.Latent Class Analysis for Response Reduction -- 7.3.2.Understanding Factor Importance and Rating Style -- 7.3.3.Smoothing Spline Regression to Understand Response Behavior -- 7.4.Methods for Modeling (Predicting) -- 7.4.1.Random-Effects Ordered Logit Modeling -- 7.4.2.Decision Tree for Ratings Classification -- 7.4.3.Bayesian Network for Ratings Classification and Associations -- 7.5.Summary -- 7.6.Additional Resources for Computational Implementation -- References -- pt. III Product Design Challenges -- 8.Hierarchical Choice Modeling to Support Complex Systems Design -- 8.1.Introduction to Hierarchical Choice Modeling in Complex System Design -- 8.2.Vehicle Occupant Packaging Design: A Motivating Example -- 8.3.Preference Modeling for the Integrated Bayesian Hierarchical Choice Model -- 8.4.Integrated Bayesian Hierarchical Choice Modeling Approach -- 8.4.1.Integrated Choice Model Formulation for Estimation -- |
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Contents note continued: 8.4.2.Integrated Choice Model Fusion and Updating -- 8.5.IBHCM for the Vehicle Packaging Design Problem -- 8.5.1.Data and Model Hierarchy for the Vehicle Packaging Design Problem -- 8.5.2.IBHCM Estimation for the Vehicle Packaging Design Problem -- 8.6.Validation of the Integrated Bayesian Hierarchical Choice Model -- 8.6.1.IBHCM Convergence -- 8.6.2.IBHCM Model Fit and Prediction Tests -- 8.7.Case Study: Vehicle Occupant Package Design Optimization -- 8.8.Summary -- 8.9.Additional Resources for Computational Implementation -- References -- 9.Latent Variable Modeling -- 9.1.The Need for Considering Latent Variables in Demand Models -- 9.2.Integrating Latent Variable Models into Demand Models -- 9.2.1.Incorporation of Latent Variables as Attributes in Choice Models -- 9.2.2.Development of the Likelihood Function of the Integrated Multinomial Model -- 9.3.Case Study: Integrated Latent Variable Model for Vehicle Engine Design -- 9.4.Summary -- |
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Contents note continued: 9.5.Additional Resources for Computational Implementation -- References -- 10.A Choice Modeling Approach for Usage Context-Based Design -- 10.1.Introduction to Usage Context-Based Design -- 10.2.Literature On Usage Context Studies -- 10.2.1.Usage Context Literature in Market Research -- 10.2.2.Usage Context Literature in Engineering Design -- 10.3.Taxonomy in Usage Context-Based Design -- 10.4.Choice Modeling Framework in Usage Context-Based Design -- 10.5.Case Study 1: Jigsaw Example -- 10.6.Case study 2: Hybrid Electric Vehicle Example -- 10.7.Conclusion -- References -- 11.A Decision-Based Design Approach to Product Family Design -- 11.1.Introduction to Product Family Design -- 11.2.Market Segmentation Grid -- 11.3.The Market-Driven Product Family Design Methodology -- 11.3.1.Creation of the Enhanced Market Segmentation Grid -- 11.3.2.Estimation of the Nested Logit Demand Model -- 11.3.3.Construction of Models for Product Performance and Cost -- |
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Contents note continued: 11.3.4.Optimization of the Product Family -- 11.4.Case Study: Design of a Family of Universal Electric Motors -- 11.4.1.Description of the "Enhanced" Universal Electric Motor Product Family Design Problem Formulation -- 11.4.2.Description of the Optimization Problem for the Universal Motor Product Family Design -- 11.4.3.Results and Interpretations -- 11.5.Summary -- References -- 12.Multilevel Optimization for Decision-Based Design -- 12.1.Introduction to Multidisciplinary Design Optimization and Multilevel Optimization -- 12.1.1.Non-Hierarchical Decomposition -- 12.1.2.Hierarchical Decomposition -- 12.2.A Multilevel Optimization Approach to Decision-Based Design -- 12.2.1.Multi-Level Optimization Formulation to DBD -- 12.2.2.Target Exploration Algorithm -- 12.3.Case Study: Automobile Suspension Design -- 12.3.1.Multilevel Optimization Formulation of the Suspension Design Problem -- 12.3.2.Demand Model for Mid-Size Car Segment -- |
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Contents note continued: 12.3.3.Solving the Suspension Design Problem Using Multilevel Optimization -- 12.4.Summary -- References -- 13.Closure -- 13.1.Summary of the Decision-Based Design Approach -- 13.2.Advancing Research in Decision-Based Design -- 13.3.Advancing Research in Choice Modeling -- References |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Engineering design -- Decision making.
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Consumers' preferences.
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| Author |
Hoyle, Christopher.
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Wassenaar, Henk Jan.
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| LC no. |
2012936756 |
| ISBN |
9781447140351 (hbk.) |
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1447140354 (hbk.) |
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(eBook) |
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