Semantic Web-Based Supplier Discovery Framework - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2013

Semantic Web-Based Supplier Discovery Framework

Jaehun Lee
  • Fonction : Auteur
  • PersonId : 1000049
Kiwook Jung
  • Fonction : Auteur
  • PersonId : 997872
Bo Hyun Kim
  • Fonction : Auteur
  • PersonId : 1000050
Hyunbo Cho
  • Fonction : Auteur
  • PersonId : 997894

Résumé

As companies move forward to source globally, supply chain management has gained attention more than ever before. In particular, the discovery and selection of capable suppliers has become a prerequisite for a global supply chain operation. Manufacturing e-marketplaces have helped companies discover new suppliers and/or buyers fast and effective for their products and services. Due to the description of requirements and capabilities in isolation, their true meanings may not be uniformly interpreted from each other. The issue of semantics between suppliers and buyers, then, remains an obstacle.The main objective is to propose a semantic web-based supplier discovery framework for building a long-term strategic supply chain. Specifically, 1) a collaboration ontology is developed to represent the supplier’s capability information and the buyer’s requirements. 2) Supplier’s potential capability is reasoned. 3) Buyer’s requirements are semantically matched with supplier’s capability information. In addition, a prototype demonstrates the practicality of the framework.
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Dates et versions

hal-01452149 , version 1 (01-02-2017)

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Jaehun Lee, Kiwook Jung, Bo Hyun Kim, Hyunbo Cho. Semantic Web-Based Supplier Discovery Framework. 20th Advances in Production Management Systems (APMS), Sep 2013, State College, PA, United States. pp.477-484, ⟨10.1007/978-3-642-41266-0_57⟩. ⟨hal-01452149⟩
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