Proposition of a modeling and an analysis methodology of integrated reverse logistics chain in the direct chain
Abstract: Propose a modeling
and analysis methodology based on the combination of Bayesian networks and
Petri networks of the reverse logistics integrated the direct supply chain.
Design/methodology/approach: Network modeling by combining Petri and
Bayesian network.
Findings: Modeling with Bayesian network complimented with Petri network
to break the cycle problem in the Bayesian network.
Research limitations/implications: Demands are independent from returns.
Practical implications: Model can only be used on nonperishable products.
Social implications: Legislation aspects: Recycling laws; Protection of
environment; Client satisfaction via after sale service.
Originality/value: Bayesian network with a cycle combined with the Petri
Network.
Keywords: reverse logistics,
processes, graphical modeling, uncertainty, Petri network, Bayesian Network
Author: Faycal Mimouni,
Abdellah Abouabdellah
Journal Code: jptindustrigg160024
