Proposition of a modeling and an analysis methodology of integrated reverse logistics chain in the direct chain
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 ne...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2016 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/88985 |
| Acceso en línea: | https://hdl.handle.net/2117/88985 https://dx.doi.org/10.3926/jiem.1720 |
| Access Level: | acceso abierto |
| Palabra clave: | Business logistics -- Planning Reverse logistics Processes Graphical modeling Uncertainty Petri network Bayesian network Logística (Indústria) -- Planificació Àrees temàtiques de la UPC::Economia i organització d'empreses::Direcció d'operacions |
| Sumario: | 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. |
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