Abstract
A satisfaction-driven game theoretic approach is developed with application to team-based concurrent product and process design (CPPD). This team approach for CPPD is based upon optimization formalism in which the design team is responsible to optimize overall product functionality (or performance) and the manufacture team pursues to minimize total manufacturing cost. This dual-team model characterizes the respective aspects of product design and process design. In particular, the preference of each team against a design configuration is characterized through the application of fuzzy set theory, whereby the method of Design for Satisfaction (DfS) can be applied to seek the most favorite design that best fulfills the team goal. Based on the strategic team paradigms derived from game theory, fuzzy set operators are used to aggregate satisfaction metrics of two teams. As a result, three team design models plus related algorithms are developed to reveal typical team interactions in the context of design computations. An illustrative example is worked out to demonstrate the satisfaction-driven team design models.
