Dealing with Variations for a Supplier Selection Problem in a Flexible Supply Chain - A Dynamic Optimization Approach
Akram Chibani, Xavier Delorme, Alexandre Dolgui, Henri Pierreval
2014
Abstract
Supply chains are complicated dynamical systems due to many factors, e.g. the competition between companies, the globalization, demand fluctuations, sales forecasting. Hence, they must react to changes in order to adapt quickly its network. In this paper we focus on a two echelon supply chain problem dealing with supplier selection issue during periods in a highly flexible context. How to select suppliers is the main question we try to answer in this research. A suggested approach based on dynamic optimization is highlighted to solve this problem.
References
- Bosman, L. P. (2007). Learning and anticipation in on line dynamic optimization. Studies in computational intelligence, 51:129-152.
- Cruz, C., González, J. R., and Pelta, D. a. (2010). Optimization in dynamic environments: a survey on problems, methods and measures. Soft Computing, 15(7):1427- 1448.
- Deng, X., Hu, Y., Deng, Y., and Mahadevan, S. (2014). Supplier selection using AHP methodology extended by D numbers. Expert Systems with Applications, 41(1):156-167.
- Ding, H., Benyoucef, L., and Xie, X. (2005). A simulation optimization methodology for supplier selection problem. International Journal of Computer Integrated Manufacturing, 18(2-3):210-224.
- Ghodsypour, S. and O'Brien, C. (1998). A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming. International Journal of Production Economics, 56- 57:199-212.
- Goldberg, D. (1989). Genetic Algorithm In Search, Optimization And Machine Learning. Addison-Wesley, Reading, MA.
- Kristianto, Y., Gunasekaran, A., Helo, P., and Sandhu, M. (2012). A decision support system for integrating manufacturing and product design into the reconfiguration of the supply chain networks. Decision Support Systems, 52(4):790-801.
- Lee, H. L. (2004). The triple-A supply chain. Harvard business review, 82(10):102-12, 157.
- Lepagnot, J., Nakib, A., Oulhadj, H., and Siarry, P. (2010). A new multiagent algorithm for dynamic continuous optimization. International Journal of Applied Metaheuristic Computing, 1(1):16-38.
- Nazari-Shirkouhi, S., Shakouri, H., Javadi, B., and Keramati, A. (2013). Supplier selection and order allocation problem using a two-phase fuzzy multi-objective linear programming. Applied Mathematical Modelling, 37(22):9308-9323.
- Nguyen, T. T., Yang, S., and Branke, J. (2012). Evolutionary dynamic optimization: A survey of the state of the art. Swarm and Evolutionary Computation, 6:1-24.
- Oh, S., Ryu, K., and Jung, M. (2011). Reconfiguration framework of a supply network based on flexibility strategies. Computers & Industrial Engineering.
- Osman, H. and Demirli, K. (2010). A bilinear goal programming model and a modified Benders decomposition algorithm for supply chain reconfiguration and supplier selection. International Journal of Production Economics, 124(1):97-105.
- Pillac, V., Gendreau, M., Guéret, C., and Medaglia, A. L. (2013). A review of dynamic vehicle routing problems. European Journal of Operational Research, 225(1):1-11.
- Ryu, K. and Jung, M. (2003). Agent-based fractal architecture and modelling for developing distributed manufacturing systems. International Journal of Production Research, 41(17):4233-4255.
- Ware, N. R., Singh, S., and Banwet, D. (2014). A mixedinteger non-linear program to model dynamic supplier selection problem. Expert Systems with Applications, 41(2):671-678.
- Wu, W.-Y., Sukoco, B. M., Li, C.-Y., and Chen, S. H. (2009). An integrated multi-objective decision-making process for supplier selection with bundling problem. Expert Systems with Applications, 36(2):2327-2337.
Paper Citation
in Harvard Style
Chibani A., Delorme X., Dolgui A. and Pierreval H. (2014). Dealing with Variations for a Supplier Selection Problem in a Flexible Supply Chain - A Dynamic Optimization Approach . In Proceedings of the 3rd International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES, ISBN 978-989-758-017-8, pages 322-327. DOI: 10.5220/0004924603220327
in Bibtex Style
@conference{icores14,
author={Akram Chibani and Xavier Delorme and Alexandre Dolgui and Henri Pierreval},
title={Dealing with Variations for a Supplier Selection Problem in a Flexible Supply Chain - A Dynamic Optimization Approach},
booktitle={Proceedings of the 3rd International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},
year={2014},
pages={322-327},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004924603220327},
isbn={978-989-758-017-8},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 3rd International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,
TI - Dealing with Variations for a Supplier Selection Problem in a Flexible Supply Chain - A Dynamic Optimization Approach
SN - 978-989-758-017-8
AU - Chibani A.
AU - Delorme X.
AU - Dolgui A.
AU - Pierreval H.
PY - 2014
SP - 322
EP - 327
DO - 10.5220/0004924603220327