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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sangwan, Kuldip Singh | - |
dc.date.accessioned | 2023-08-25T06:44:17Z | - |
dc.date.available | 2023-08-25T06:44:17Z | - |
dc.date.issued | 2015 | - |
dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S221282711500027X | - |
dc.identifier.uri | http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11652 | - |
dc.description.abstract | This paper proposes the network design and optimization of a multi-product, multi-time, multi-echelon capacitated closed-loop supply chain in an uncertain environment. The uncertainty related to ill-known parameters like product demand, return volume, fraction of parts recovered for different product recovery processes, purchasing cost, transportation cost, inventory cost, processing, and set-up cost at facility centers is handled with fuzzy numbers. A fuzzy mixed-integer linear programming model is proposed to decide optimally the location and allocation of products/parts at each facility, number of products to be remanufactured, number of parts to be purchased from external suppliers and inventory level of products/parts in order to maximize the profit to the organization. The proposed solution methodology is able to generate a balanced solution between the feasibility degree and the degree of satisfaction of the decision maker. The proposed model has been tested with an illustrative example. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.subject | Mechanical Engineering | en_US |
dc.subject | Closed-loop supply chain | en_US |
dc.subject | Closed-loop supply chain | en_US |
dc.subject | Fuzzy MILP | en_US |
dc.subject | Reverse logistics | en_US |
dc.title | Network Design and Optimization for Multi-product, Multi-time, Multi-echelon Closed-loop Supply Chain under Uncertainty | en_US |
dc.type | Article | en_US |
Appears in Collections: | Department of Mechanical engineering |
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