Modeling the Structure and Complexity of Engineering Routine Design Problems

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dc.contributor.authorJauregui-Becker, J. M.-
dc.contributor.authorWits, W. W.-
dc.contributor.authorVan Houten, F. J. A. M.-
dc.date.accessioned2011-05-18T02:38:25Z-
dc.date.available2011-05-18T02:38:25Z-
dc.date.issued2011-
dc.identifier.citation21st CIRP Design Conferenceen
dc.identifier.urihttp://hdl.handle.net/10203/23708-
dc.description.abstractThis paper proposes a model to structure routine design problems as well as a model of its design complexity. The idea is that having a proper model of the structure of such problems enables understanding its complexity, and likewise, a proper understanding of its complexity enables the development of systematic approaches to solve them. The end goal is to develop computer systems capable of taking over routine design tasks based on generic and systematic solving approaches. It is proposed to structure routine design in three main states: problem class, problem instance, and problem solution. Design complexity is related to the degree of uncertainty in knowing how to move a design problem from one state to another. Axiomatic Design Theory is used as reference for understanding complexity in routine design.en
dc.language.isoen_USen
dc.publisherCIRPen
dc.subjectRoutine designen
dc.subjectComplexityen
dc.subjectAxiomatic Design Theoryen
dc.titleModeling the Structure and Complexity of Engineering Routine Design Problemsen
dc.typeArticleen

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