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.
 D. S. Rogers, R. S.Tibben-Lembke, “Going backwards: Reverse
logistics trends and practices”. Reverse logistics executive council,
Reno, NV, USA (1998).
 A.Kokkinaki, R. Zuidwijk, R. J. V. Nunen, “Information Management
for Reverse Logistics”, 23 Oct. 2002.
 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).
 S.Lambert, D.Riopel and W.Abdulkader, “A reverse logistics decisions
conceptual framework”, Computer and Industrial Engineering 61(2011),
 S. Lambert, D. Riopel, “Logistique inverse: review of literature”, Les
Cahiers du GERAD, Quebec (2003).
 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.
 N.F. Noy, D.L. McGuinness, Ontology Development 101: A Guide to
Creating Your First Ontology, Stanford University, 2001.
 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,