Modeling and optimizing the integrated problem of closed-loop supply chain network design and disassembly line balancing

•CLSC network optimization and DLB problems are integrated.•A nonlinear integer programming formulation is presented.•Numerical examples are presented showing cost savings that can be achieved by solving the integrated problem.•Sensitivity analyses are conducted on various parameters. This paper des...

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Published in:Transportation research. Part E, Logistics and transportation review Vol. 61; pp. 142 - 164
Main Authors: Özceylan, Eren, Paksoy, Turan, Bektaş, Tolga
Format: Journal Article
Language:English
Published: Exeter Elsevier India Pvt Ltd 01.01.2014
Elsevier Sequoia S.A
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ISSN:1366-5545, 1878-5794
Online Access:Get full text
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Summary:•CLSC network optimization and DLB problems are integrated.•A nonlinear integer programming formulation is presented.•Numerical examples are presented showing cost savings that can be achieved by solving the integrated problem.•Sensitivity analyses are conducted on various parameters. This paper describes an integrated model that jointly optimizes the strategic and tactical decisions of a closed-loop supply chain (CLSC). The strategic level decisions relate to the amounts of goods flowing on the forward and reverse chains. The tactical level decisions concern balancing disassembly lines in the reverse chain. The objective is to minimize costs of transportation, purchasing, refurbishing, and operating the disassembly workstations. A nonlinear mixed integer programming formulation is described for the problem. Numerical examples are presented using the proposed model.
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content type line 14
ISSN:1366-5545
1878-5794
DOI:10.1016/j.tre.2013.11.001