Proposition of a modeling and an analysis methodology of integrated reverse logistics chain in the direct chain

Faycal Mimouni, Abdellah Abouabdellah


Purpose: 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.


reverse logistics, processes, graphical modeling, uncertainty, Petri network, Bayesian Network

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Licencia de Creative Commons 

This work is licensed under a Creative Commons Attribution 4.0 International License

Journal of Industrial Engineering and Management, 2008-2024

Online ISSN: 2013-0953; Print ISSN: 2013-8423; Online DL: B-28744-2008

Publisher: OmniaScience