Fuzzy multi-objective linear programming approach for optimising a closed-loop supply chain network

With the urgency of remanufacturing and environmental concerns, closed-loop supply chain (CLSC) networks have drawn the attention of researchers. Although there are many CLSC network models in the literature, most of them do not consider uncertainty in general terms. However, practical situations ar...

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Vydáno v:International journal of production research Ročník 51; číslo 8; s. 2443 - 2461
Hlavní autoři: Özceylan, Eren, Paksoy, Turan
Médium: Journal Article
Jazyk:angličtina
Vydáno: London Taylor & Francis Group 01.04.2013
Taylor & Francis LLC
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ISSN:0020-7543, 1366-588X
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Shrnutí:With the urgency of remanufacturing and environmental concerns, closed-loop supply chain (CLSC) networks have drawn the attention of researchers. Although there are many CLSC network models in the literature, most of them do not consider uncertainty in general terms. However, practical situations are often not well defined and thus cannot be described precisely in real world CLSCs. In this paper a mixed integer fuzzy mathematical model is proposed for a CLSC network which includes both forward and reverse flows with multiple periods and multiple parts. A fuzzy multi-objective model (FMOM) approach is applied to take into account the fuzziness in the capacity, objectives, demand constraints and also in the reverse rates. Computational results are presented for a number of scenarios to show and validate applicability and flexibility of the model. Results show that the proposed model presents a systematic framework which enables the logistics manager (LM) to adjust the search direction during the solution procedure to obtain a desired satisfactory solution.
Bibliografie:SourceType-Scholarly Journals-1
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content type line 14
ISSN:0020-7543
1366-588X
DOI:10.1080/00207543.2012.740579