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Reverse Logistics Information Management Using Ontological Approach

Authors: F. Lhafiane, A. Elbyed, M. Bouchoum

Abstract:

Reverse Logistics (RL) Network is considered as complex and dynamic network that involves many stakeholders such as: suppliers, manufactures, warehouse, retails and costumers, this complexity is inherent in such process due to lack of perfect knowledge or conflicting information. Ontologies on the other hand can be considered as an approach to overcome the problem of sharing knowledge and communication among the various reverse logistics partners. In this paper we propose a semantic representation based on hybrid architecture for building the Ontologies in ascendant way, this method facilitates the semantic reconciliation between the heterogeneous information systems that support reverse logistics processes and product data.

Keywords: Reverse Logistics, information management, heterogeneity, Ontologies, semantic web.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1099086

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References:


[1] D. S. Rogers, R. S.Tibben-Lembke, “Going backwards: Reverse logistics trends and practices”. Reverse logistics executive council, Reno, NV, USA (1998).
[2] A.Kokkinaki, R. Zuidwijk, R. J. V. Nunen, “Information Management for Reverse Logistics”, 23 Oct. 2002.
[3] J. Rieck, J. Zimmermann, “Exact Solutions to the Symmetric and Asymmetric Vehicle Routing Problem with Simultaneous Delivery and Pick-Up”. BuR - Business Research, Vol. 6, Iss. 1, pp. 77-92.(2013).
[4] S.Lambert, D.Riopel and W.Abdulkader, “A reverse logistics decisions conceptual framework”, Computer and Industrial Engineering 61(2011), 561-581.
[5] S. Lambert, D. Riopel, “Logistique inverse: review of literature”, Les Cahiers du GERAD, Quebec (2003).
[6] P.Mulholland, 1999, Introduction to ontologies, Version 2, Internal Report, code: RichODL-OU-3/1999, Enriching ODL by knowledge sharing for collaborative computer-based modeling and simulation.
[7] N.F. Noy, D.L. McGuinness, Ontology Development 101: A Guide to Creating Your First Ontology, Stanford University, 2001.
[8] F. Lhafiane, A. Elbyed, M. Bouchoum, “Improving Reverse Logistics Process Using Multi-Agents System and Semantic Web,” Journal of Traffic and Logistics Engineering, Vol. 2, No. 3, pp. 206-210, September 2014.