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dc.contributor.authorHong, I-Hsuanen_US
dc.contributor.authorAmmons, Jane C.en_US
dc.contributor.authorRealff, Matthew J.en_US
dc.date.accessioned2014-12-08T15:12:35Z-
dc.date.available2014-12-08T15:12:35Z-
dc.date.issued2008-02-15en_US
dc.identifier.issn0013-936Xen_US
dc.identifier.urihttp://dx.doi.org/10.1021/es062177ken_US
dc.identifier.urihttp://hdl.handle.net/11536/9669-
dc.description.abstractA reverse logistics system is a network of transportation logistics and processing functions that collect, consolidate, refurbish, and demanufacture end-of-life products. This paper examines centralized and decentralized models of decision-making for material flows and associated transaction prices in reverse logistics networks. We compare the application of a centralized model for planning reverse production systems, where a single planner is acquainted with all of the system information and has the authority to determine decision variables for the entire system, to a decentralized approach. In the decentralized approach, the entities coordinate between tiers of the system using a parametrized flow function and compete within tiers based on reaching a price equilibrium. We numerically demonstrate the increase in the total net profit of the centralized system relative to the decentralized one. This implies that one may overestimate the system material flows and profit if the system planner utilizes a centralized view to predict behaviors of independent entities in the system and that decentralized contract mechanisms will require careful design to avoid losses in the efficiency and scope of these systems.en_US
dc.language.isoen_USen_US
dc.titleCentralized versus decentralized decision-making for recycled material flowsen_US
dc.typeArticleen_US
dc.identifier.doi10.1021/es062177ken_US
dc.identifier.journalENVIRONMENTAL SCIENCE & TECHNOLOGYen_US
dc.citation.volume42en_US
dc.citation.issue4en_US
dc.citation.spage1172en_US
dc.citation.epage1177en_US
dc.contributor.department工業工程與管理學系zh_TW
dc.contributor.departmentDepartment of Industrial Engineering and Managementen_US
dc.identifier.wosnumberWOS:000253250800036-
dc.citation.woscount7-
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