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

Modeling and optimizing the integrated problem of closed-loop supply chain network design and disassembly line balancing
Modeling and optimizing the integrated problem of closed-loop supply chain network design and disassembly line balancing
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.
1366-5545
142-164
Ozceylan, E.
10ce8b8f-d1f4-4224-bf88-81e11242f02f
Paksoy, T.
b75b84aa-d844-4bb2-9ae9-aa726402d89b
Bektas, T.
0db10084-e51c-41e5-a3c6-417e0d08dac9
Ozceylan, E.
10ce8b8f-d1f4-4224-bf88-81e11242f02f
Paksoy, T.
b75b84aa-d844-4bb2-9ae9-aa726402d89b
Bektas, T.
0db10084-e51c-41e5-a3c6-417e0d08dac9

Ozceylan, E., Paksoy, T. and Bektas, T. (2014) Modeling and optimizing the integrated problem of closed-loop supply chain network design and disassembly line balancing. Transportation Research Part E: Logistics and Transportation Review, 61, 142-164. (doi:10.1016/j.tre.2013.11.001).

Record type: Article

Abstract

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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More information

Published date: January 2014
Organisations: Centre of Excellence for International Banking, Finance & Accounting

Identifiers

Local EPrints ID: 359538
URI: http://eprints.soton.ac.uk/id/eprint/359538
ISSN: 1366-5545
PURE UUID: 093f2770-2ae9-4d95-b3e9-da6ff7642396
ORCID for T. Bektas: ORCID iD orcid.org/0000-0003-0634-144X

Catalogue record

Date deposited: 06 Nov 2013 14:16
Last modified: 14 Mar 2024 15:24

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Contributors

Author: E. Ozceylan
Author: T. Paksoy
Author: T. Bektas ORCID iD

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