DOIONLINE 
DOIONLINE Publish In |
International Journal of Management and Applied Science (IJMAS)-IJMAS |
 Journal Home Volume Issue |
||||||||
Issue |
Volume-4,Issue-8 ( Aug, 2018 ) | |||||||||
Paper Title |
A Multi-Period Planning Model for Uncertain Supply Chain Network Configuration | |||||||||
Author Name |
B. H. Tabrizi, S. F.Ghaderi | |||||||||
Affilition |
School of Industrial Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran(P.O. Box: 11155-4563) Research Institute of Energy Management and Planning (RIEMP), Tehran, Iran (P.O. Box: 14178-43111) | |||||||||
Pages |
81-86 | |||||||||
Abstract |
Designing efficient supply chain networks is a crucial affair in achievement of the involving members’ goals. The issue can be investigated from different aspects as the network configuration can influence the short and long-term decisions. A multi-period network is developed in this paper that can be amended with respect to required changes in each given planning horizon. Because of long-term considerations nature and the existence of imperfect knowledge about key parameters, fuzzy possibilistic approach is applied to represent the potential uncertainties. Afterwards, Imperialist Competitive Algorithm (ICA) is addressed as a capable solution methodology. The performance of the ICA is compared with Genetic Algorithm (GA) and its validity and applicability is tested by different numerical examples. Keywords - Supply chain network design, Possibilistic programming, ICA, GA. | |||||||||
| View Paper | ||||||||||
