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Conceptual robustness in simultaneous engineering: An extension of Taguchi's parameter design

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dc.contributor Design Laboratory, Department of Mechanical Engineering and Applied Mechanics, University of Michigan, 48109, Ann Arbor, MI
dc.contributor Design Laboratory, Department of Mechanical Engineering and Applied Mechanics, University of Michigan, 48109, Ann Arbor, MI
dc.contributor Design Laboratory, Department of Mechanical Engineering and Applied Mechanics, University of Michigan, 48109, Ann Arbor, MI
dc.contributor Department of Electrical Engineering and Computer Science, University of Michigan, USA
dc.contributor Ann Arbor
dc.creator Jacox, Edwin H.
dc.creator Lee, Jinkoo
dc.creator Chang, Tzyy-Shuh
dc.creator Ward, Allen C.
dc.date 2006-09-11T16:34:42Z
dc.date 2006-09-11T16:34:42Z
dc.date 1994-12
dc.date.accessioned 2022-05-19T13:19:21Z
dc.date.available 2022-05-19T13:19:21Z
dc.identifier Chang, Tzyy-Shuh; Ward, Allen C.; Lee, Jinkoo; Jacox, Edwin H.; (1994). "Conceptual robustness in simultaneous engineering: An extension of Taguchi's parameter design." Research in Engineering Design 6(4): 211-222. <http://hdl.handle.net/2027.42/45879>
dc.identifier 0934-9839
dc.identifier 1435-6066
dc.identifier https://hdl.handle.net/2027.42/45879
dc.identifier http://dx.doi.org/10.1007/BF01608400
dc.identifier Research in Engineering Design
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/116211
dc.description Simultaneous engineering processes involve multifunctional teams; team members simultaneously make decisions about many parts of the product-production system and aspects of the product life cycle. This paper argues that such simultaneous distributed decisions should be based on communications about sets of possibilities rather than single solutions. By extending Taguchi's parameter design concepts, we develop a robust and distributed decision-making procedure based on such communications. The procedure shows how a member of a design team can make appropriate decisions based on incomplete information from the other members of the team. More specifically, it (1) treats variations among the designs considered by other members of the design team as conceptual noise; (2) shows how to incorporate such noises into decisions that are robust against these variations; (3) describes a method for using the same data to provide preference information back to the other team members; and (4) provides a procedure for determining whether to release the conceptually robust design or to wait for further decisions by others. The method is demonstrated by part of a distributed design process for a rotary CNC milling machine. While Taguchi's approach is used as a starting point because it is widely known, these results can be generalized to use other robust decision techniques.
dc.description Peer Reviewed
dc.description http://deepblue.lib.umich.edu/bitstream/2027.42/45879/1/163_2005_Article_BF01608400.pdf
dc.format 1334794 bytes
dc.format 3115 bytes
dc.format application/pdf
dc.format text/plain
dc.format application/pdf
dc.language en_US
dc.publisher Springer-Verlag; Springer-Verlag London Limited
dc.subject Simultaneous Engineering
dc.subject Robust Design
dc.subject Engineering Design
dc.subject Engineering
dc.subject Computer-Aided Engineering (CAD, CAE) and Design
dc.subject Engineering Design
dc.subject Concurrent Engineering
dc.subject Distributed Optimization
dc.subject Mechanical Engineering
dc.subject Engineering (General)
dc.subject Engineering
dc.title Conceptual robustness in simultaneous engineering: An extension of Taguchi's parameter design
dc.type Article


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