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Author

Kim, Duck Young
Smart Factory Lab (SF)
Research Interests
  • Smart factory, Smart control, Failure analysis, Simulation

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COMPATIBLE COMPONENT SELECTION UNDER UNCERTAINTY VIA EXTENDED CONSTRAINT SATISFACTION APPROACH

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Title
COMPATIBLE COMPONENT SELECTION UNDER UNCERTAINTY VIA EXTENDED CONSTRAINT SATISFACTION APPROACH
Author
Kim, Duck YoungXirouchakis, PaulSon, Young Jun
Keywords
Component selection; Configuration; Constraint Satisfaction; Design catalogues; Design constraints; Filtering procedures; Preliminary design; Robotic vacuum cleaners
Issue Date
2012
Publisher
UNIV CINCINNATI INDUSTRIAL ENGINEERING
Citation
INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE, v.19, no.12, pp.464 - 474
Abstract
This paper deals with compatible component selection problems, where the goal is to find combinations of components satisfying design constraints given a product structure, component alternatives available in design catalogue for each subsystem of the product, and a preliminary design constraint. An extended Constraint Satisfaction Problem (CSP) is introduced to solve component selection problems considering uncertainty in the values of design variables. To handle a large number of all possible combinations of components, the paper proposes a systematic filtering procedure and an efficient method to estimate a complex feasible design space to facilitate selection of component combinations having more feasible solutions. The proposed approach is illustrated and demonstrated with a robotic vacuum cleaner design example.
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ISSN
1943-670X
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DHE_Journal Papers

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