Heuristics for product-line design using conjoint analysis
Management Science
Product platform design and customization: Status and promise
Artificial Intelligence for Engineering Design, Analysis and Manufacturing - SPECIAL ISSUE: Platform product development for mass customization
Using a multi-criteria decision making approach to evaluate mobile phone alternatives
Computer Standards & Interfaces
A survey of what customers want in a cell phone design
Behaviour & Information Technology
Worth-centred mobile phone design for older users
Universal Access in the Information Society
Evolutionary multi-objective optimization algorithm with preference for mechanical design
ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
An optimum design selection approach for product customization development
Journal of Intelligent Manufacturing
An approach for capturing the Voice of the Customer based on Virtual Prototyping
Journal of Intelligent Manufacturing
A KE-LSA approach for user-centered design
Journal of Intelligent Manufacturing
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To assure profit maximization through mass customization and personalization, effectively eliciting consumer needs across different market segments is critical. Although functional performance specifications and adequacy of various design forms can be measured directly and objectively, many designers and engineers struggle with clearly evaluating product criteria requiring subjective consumer input; the fact that these inputs change over time further complicates the process. To appropriately evaluate product criteria, an effective design decision-making analysis is required. In this study, we propose a methodology to assure effective elicitation of needs and their inclusion in design decision making and illustrate it using a mobile phone product family design scenario. First, consumer perceived utility of design features is gathered using a questionnaire (500+ responses) and then modeled using multi- attribute utility theory to facilitate the evaluation of a product family while responding to needs across customer clusters shaped by demographics. The methodology goal is to determine the relative goodness of a product family in comparison to its competition. We also compare and evaluate the application of the proposed method to conjoint analysis.