A Robust Multi-objective Desirability-based Simulated Annealing for Optimization of Sustainable Supply Chain Network Strategic Design

DOI

10.2991/ccit-14.2014.85How to use a DOI?

Keywords

Supply chain network design, Sustainability, optimization, multi-objective desirability-based simulated annealing

Abstract

In this article, we investigate the optimization of sustainable supply chain network (SCN) strategic design problem. The proposed SCN is composed of four echelons including plants, distribution centers, cross-docks and retailers. The problem has been mathematically formulated as a multi-objective optimization model that aims to minimize the total costs and environmental effect. To tackle the addressed problem, multi-objective desirability-based simulated annealing algorithm (MODBSA) is proposed. Then, MODBSA is compared with two common meta-heuristic algorithms. Subsequently, the known method called response surface methodology with the multi-objective decision making(MODM) approach is employed to tune the parameters. Finally, MODBSA and other approaches are compared together in terms of some performance measures.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Kannan Govindan
AU  - Ahmad Jafarian
PY  - 2014/01
DA  - 2014/01
TI  - A Robust Multi-objective Desirability-based Simulated Annealing for Optimization of Sustainable Supply Chain Network Strategic Design
BT  - Proceedings of the 2014 International Conference on Computer, Communications and Information Technology
PB  - Atlantis Press
SP  - 326
EP  - 330
SN  - 1951-6851
UR  - https://doi.org/10.2991/ccit-14.2014.85
DO  - 10.2991/ccit-14.2014.85
ID  - Govindan2014/01
ER  -