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An Analysis of OWL-based Semantic Mediation Approaches to Enhance Manufacturing Service Capability Models

Published

Author(s)

Boonserm Kulvatunyou, Nenad Ivezic, Jun H. Shin, Yunsu Lee

Abstract

Manufacturers require timely and precise information about available manufacturing services to assemble optimal supply chains. Currently, multiple communities develop and use proprietary, ad-hoc manufacturing service models to share information about manufacturing services in support of sourcing processes. These models, however, do not allow access to reliable and precise manufacturing services information within or across the communities. This paper discusses requirements of manufacturing service models to support contract manufacturing sourcing processes via running examples. We propose two alternative semantic mediation approaches based on formal models that allow seamless and interoperable access with higher precision of and greater access to manufacturing services information in the multi-stakeholder environments. We then demonstrate through the running examples that these approaches support this target agile behavior of proprietary manufacturing service models. Finally, a comparative discussion and summary of the two semantic mediation approaches are provided.
Citation
International Journal of Computer Integrated Manufacturing

Keywords

Manufacturing Service Model, Manufacturing Capability Description, Supplier Sourcing, Supply Chain, Ontology, Semantic Mediation, Mapping, Merging, Information Integration, OWL, Semantic Web

Citation

Kulvatunyou, B. , Ivezic, N. , Shin, J. and Lee, Y. (2013), An Analysis of OWL-based Semantic Mediation Approaches to Enhance Manufacturing Service Capability Models, International Journal of Computer Integrated Manufacturing, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=911412 (Accessed December 14, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created May 16, 2013, Updated February 19, 2017