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• W2066551010 abstract "The design of products and processes within a decentralized design framework requires different design teams or distributed subsystems to solve their local optimization problems and pass their optimal designs to the other subsystems. It is assumed that the subsystems cannot cooperate with each other and the only information passed between subsystems is coupled design variable values. Non local design variables are treated as constraints in local subsystem optimization. The subsystems iterate by passing design variable values back and forth until they all converge upon a solution. For multiple, conflicting subsystem objectives, the converged solution is the Nash Equilibrium, which is rarely Pareto optimal. A common assumption in design decision making is that the designer makes no errors in the selection of the optimal design during each iteration. In this paper, we present a framework for distributed design that preserves the general assumptions of non cooperation between subsystems but models mistakes made by designers in the selection of optimal designs. It is seen that solutions from this modified decentralized design framework can possibly be better than the Nash Equilibrium. This framework combines different technologies such as uncertainty modeling, error propagation, set based design and metamodeling techniques." @default.
• W2066551010 created "2016-06-24" @default.
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• W2066551010 date "2006-01-01" @default.
• W2066551010 modified "2023-09-24" @default.
• W2066551010 title "Decentralized Design Under Uncertainty: Investigating the Impact of Designer Mistakes" @default.
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