dc.contributor |
Design Laboratory, Department of Mechanical Engineering and Applied Mechanics, University of Michigan, 48109, Ann Arbor, MI |
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dc.contributor |
Design Laboratory, Department of Mechanical Engineering and Applied Mechanics, University of Michigan, 48109, Ann Arbor, MI |
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dc.contributor |
Design Laboratory, Department of Mechanical Engineering and Applied Mechanics, University of Michigan, 48109, Ann Arbor, MI |
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dc.contributor |
Department of Electrical Engineering and Computer Science, University of Michigan, USA |
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dc.contributor |
Ann Arbor |
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dc.creator |
Jacox, Edwin H. |
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dc.creator |
Lee, Jinkoo |
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dc.creator |
Chang, Tzyy-Shuh |
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dc.creator |
Ward, Allen C. |
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dc.date |
2006-09-11T16:34:42Z |
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dc.date |
2006-09-11T16:34:42Z |
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dc.date |
1994-12 |
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dc.date.accessioned |
2022-05-19T13:19:21Z |
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dc.date.available |
2022-05-19T13:19:21Z |
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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> |
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dc.identifier |
0934-9839 |
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dc.identifier |
1435-6066 |
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dc.identifier |
https://hdl.handle.net/2027.42/45879 |
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dc.identifier |
http://dx.doi.org/10.1007/BF01608400 |
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dc.identifier |
Research in Engineering Design |
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dc.identifier.uri |
http://localhost:8080/xmlui/handle/CUHPOERS/116211 |
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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. |
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dc.description |
Peer Reviewed |
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dc.description |
http://deepblue.lib.umich.edu/bitstream/2027.42/45879/1/163_2005_Article_BF01608400.pdf |
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dc.format |
1334794 bytes |
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dc.format |
3115 bytes |
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dc.format |
application/pdf |
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dc.format |
text/plain |
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dc.format |
application/pdf |
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dc.language |
en_US |
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dc.publisher |
Springer-Verlag; Springer-Verlag London Limited |
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dc.subject |
Simultaneous Engineering |
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dc.subject |
Robust Design |
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dc.subject |
Engineering Design |
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dc.subject |
Engineering |
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dc.subject |
Computer-Aided Engineering (CAD, CAE) and Design |
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dc.subject |
Engineering Design |
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dc.subject |
Concurrent Engineering |
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dc.subject |
Distributed Optimization |
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dc.subject |
Mechanical Engineering |
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dc.subject |
Engineering (General) |
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dc.subject |
Engineering |
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dc.title |
Conceptual robustness in simultaneous engineering: An extension of Taguchi's parameter design |
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dc.type |
Article |
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