A Robust Multi-objective Desirability-based Simulated Annealing for Optimization of Sustainable Supply Chain Network Strategic Design
Kannan Govindan, Ahmad Jafarian
Available Online January 2014.
- https://doi.org/10.2991/ccit-14.2014.85How to use a DOI?
- Supply chain network design, Sustainability, optimization, multi-objective desirability-based simulated annealing
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - https://doi.org/10.2991/ccit-14.2014.85 ID - Govindan2014/01 ER -