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dc.contributorInternational FAIM Conference 24th : 2014 : San Antonio, Texas
dc.contributorUniversity of Texas at San Antonio. Center for Advanced Manufacturing and Lean Systems
dc.contributor.authorLee, Sangil
dc.contributor.authorRyu, Kwangyeol
dc.contributor.authorShin, Moonsoo
dc.contributor.authorCho, Hyunbo
dc.date.accessioned2022-07-11T17:35:46Z
dc.date.available2022-07-11T17:35:46Z
dc.date.issued2014
dc.identifier.otherhttp://dx.doi.org/10.14809/faim.2014.0161
dc.identifier.urihttps://hdl.handle.net/20.500.12588/1035
dc.descriptionPaper presented at the Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, held May 20-23, 2014 in San Antonio, Texas, and organized by the Center for Advanced Manufacturing and Lean Systems, University of Texas at San Antonio
dc.descriptionIncludes bibliographical references
dc.description.abstractRecently, mold manufacturing companies in Korea try to reinforce their competitiveness and find collaboration partners from overseas. In order to find their collaboration partners, companies participate in various kinds of expositions and conferences, or sometimes use business agents and websites. After revitalizing internet, many companies try to find their collaboration partners via supplier discovery websites such as alibaba.com, mfg.com, and so on. These websites provide general information or engage in business contracts between buyers and suppliers by human force. In such cases, the website users have to pay a lot of money for their membership and contracts. This will be a big barrier for Korea mold manufacturers as well as others to use such websites. Therefore, in this paper, we suggest a web-based business supporting system, referred to as an Excellent Manufacturer Scouting System(EMSS), which is developed to support core business functions including supplier discovery, negotiation, and collaboration between overseas buyers and domestic suppliers. In order to discover collaboration partners, EMSS has been developed based on ontology models including matching algorithms which can analyze a demand of collaboration partners. Ontology models and matching algorithms can reflect companies' preference and qualitative tendency. In order to evaluate quantitatively, EMSS has assessment models to verify collaboration partners who are candidates of collaboration. Suggested models, algorithms, and EMSS are novel in the area of supplier discovery and assessment especially from the manufacturability point of view.
dc.language.isoen_US
dc.publisherDEStech Publications, Inc.
dc.relation.ispartofseriesProceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing
dc.subjectManufactures--Korea (South)
dc.subjectIndustrial procurement
dc.subjectBusiness networks
dc.subjectElectronic commerce
dc.titleSupplier discovery and assessment based on ontology models for mold manufacturers in Korea
dc.typeArticle


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