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Purpose: Propose a modeling and analysis methodology based on the combination of Bayesian\udnetworks and Petri networks of the reverse logistics integrated the direct supply chain.\udDesign/methodology/approach: Network modeling by combining Petri and Bayesian\udnetwork\udFindings: Modeling with Bayesian network complimented with Petri network to break the cycle\udproblem in the Bayesian network\udResearch limitations/implications: Demands are independent from returns\udPractical implications: Model can only be used on nonperishable products\udSocial implications: Legislation aspects: Recycling laws; Protection of environment; Client\udsatisfaction via after sale service.\udOriginality/value: Bayesian network with a cycle combined with the Petri Network.Peer Reviewe

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