Modular Product Family Design: Agent-Based Pareto-optimization and Quality Loss Function-Based Post-optimal Analysis
The advent of mass customization and increased manufacturing competition has necessitated that many companies offer platform-oriented multiple product variants. Various design strategies such as Design for Variety and product family design have become critical in this respect. This paper provides a two-step approach to tackle the modular product family design problem. The first step performs a multi-objective optimization using a multi-agent framework to determine the Pareto-design solutions for a given module set. The proposed multi-agent framework is new and has built in flexibility to handle various constraints such as module compatibility during the optimization process. The second step performs post-optimization analysis that includes a novel application of the quality loss function to determine the optimal platform level for a related set of product families and their variants. The proposed method is applied to a product family design example to demonstrate its validity and effectiveness.
R. Rai and V. Allada, "Modular Product Family Design: Agent-Based Pareto-optimization and Quality Loss Function-Based Post-optimal Analysis," International Journal of Production Research, Taylor & Francis, Nov 2003.
The definitive version is available at https://doi.org/10.1080/0020754031000149248
Engineering Management and Systems Engineering
National Science Foundation (U.S.)
Keywords and Phrases
Logistics; Manufacturing Engineering; Manufacturing Industries; Manufacturing Technology; Operations Management; Production Research and Economics; Production Systems; Production Systems and Automation; Productive and Quality Control Management
Article - Journal
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