Artikel
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 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.
- Language
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Englisch
- Bibliographic citation
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Journal: Journal of Industrial Engineering and Management (JIEM) ; ISSN: 2013-0953 ; Volume: 9 ; Year: 2016 ; Issue: 2 ; Pages: 359-373 ; Barcelona: OmniaScience
- Classification
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Management
- Subject
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reverse logistics
processes
graphical modeling
uncertainty
Petri network
Bayesian network
- Event
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Geistige Schöpfung
- (who)
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Mimouni, Faycal
Abouabdellah, Abdellah
- Event
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Veröffentlichung
- (who)
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OmniaScience
- (where)
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Barcelona
- (when)
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2016
- DOI
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doi:10.3926/jiem.1720
- Handle
- Last update
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10.03.2025, 11:44 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Mimouni, Faycal
- Abouabdellah, Abdellah
- OmniaScience
Time of origin
- 2016
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