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

doi:10.1080/00207543.2012.740579

Return

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

2013-04-01

PRE

Eren Özceylan *

Turan Paksoy

DOI：10.1080/00207543.2012.740579

Original

Original request for help

Save

Abstract

En 中文

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.

Keywords:

closed-loop supply chain

fuzzy multi-objective programming

mixed integer linear programming

multi-period

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.