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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

DC Field Value Language
dc.contributor.author Kim, Duck Young ko
dc.contributor.author Xirouchakis, Paul ko
dc.contributor.author Son, Young Jun ko
dc.date.available 2014-04-10T01:53:11Z -
dc.date.created 2013-07-01 ko
dc.date.issued 2012-12 ko
dc.identifier.citation INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE, v.19, no.12, pp.464 - 474 ko
dc.identifier.issn 1943-670X ko
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/3424 -
dc.description.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. ko
dc.description.statementofresponsibility close -
dc.language 영어 ko
dc.publisher UNIV CINCINNATI INDUSTRIAL ENGINEERING ko
dc.title COMPATIBLE COMPONENT SELECTION UNDER UNCERTAINTY VIA EXTENDED CONSTRAINT SATISFACTION APPROACH ko
dc.type ARTICLE ko
dc.identifier.scopusid 2-s2.0-84879162526 ko
dc.identifier.wosid 000316498500002 ko
dc.type.rims ART ko
dc.description.scopustc 0 *
dc.date.scptcdate 2014-07-12 *
dc.identifier.url http://journals.sfu.ca/ijietap/index.php/ijie/article/view/818 ko
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