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• W2948029579 abstract "The early stage design of large-scale engineering systems challenges design teams to balance a complex set of considerations. Established structured approaches for optimizing complex system designs offer strategies for achieving optimal solutions, but in practice sub-optimal system-level results are often reached due to factors such as satisficing, ill-defined problems or other project constraints. Twelve sub-system and system-level practitioners at a large aerospace organization were interviewed to understand the ways in which they integrate sub-systems. Responses showed sub-system team members often presented conservative, worst-case scenarios to other sub-systems when negotiating a trade-off as a way of hedging their own future needs. This practice of biased information passing, referred to informally by the practitioners as adding “margins,” is modeled with a series of optimization simulations. Three “bias” conditions were tested: no bias, a constant bias and a bias which decreases with time. Results from the simulations show that biased information passing negatively affects both the number of iterations needed to reach and the Pareto optimality of system-level solutions. Results are also compared to the interview responses and highlight several themes with respect to complex system design practice." @default.
• W2948029579 created "2019-06-14" @default.
• W2948029579 creator A5018118239 @default.
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• W2948029579 date "2014-08-17" @default.
• W2948029579 modified "2023-10-16" @default.
• W2948029579 title "Biased Information Passing Between Subsystems Over Time in Complex System Design" @default.
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• W2948029579 doi "https://doi.org/10.1115/detc2014-34433" @default.
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