A supplier selection using a hybrid grey based hierarchical clustering and artificial bee colony

Abstract: Selection of one or a combination of the most suitable potential providers and outsourcing problem is the most important strategies in logistics and supply chain management. In this paper, selection of an optimal combination of suppliers in inventory and supply chain management are studied and analyzed via multiple attribute decision making approach, data mining and evolutionary optimization algorithms. For supplier selection in supply chain, hierarchical clustering according to the studied indexes first clusters suppliers. Then, according to its cluster, each supplier is evaluated through Grey Relational Analysis. Then the combination of suppliers’ Pareto optimal rank and costs are obtained using Artificial Bee Colony meta-heuristic algorithm. A case study is conducted for a better description of a new algorithm to select a multiple source of suppliers.

How to cite this paper

 Razi, F. (2014). A supplier selection using a hybrid grey based hierarchical clustering and artificial bee colony.Decision Science Letters , 3(3), 259-268.

Refrences

Bali, O., Kose, E., & Gumus, S. (2013). Green supplier selection based on IFS and GRA. Grey Systems: Theory and Application, 3(2), 158-176.

Bayrak, M. Y., Celebi, N., & Ta?kin, H. (2007). A fuzzy approach method for supplier selection. Production Planning and Control, 18(1), 54-63.

Deng, S., Aydin, R., Kwong, C. K., & Huang, Y. (2014). Integrated product line design and supplier selection: a multi-objective optimization paradigm. Computers & Industrial Engineering, 70, 150-158.

Garfamy, R. M. (2006). A data envelopment analysis approach based on total cost of ownership for supplier selection. Journal of enterprise information management, 19(6), 662-678.

Guo, X., Zhu, Z., & Shi, J. (2014). Integration of semi-fuzzy SVDD and CC-Rule method for supplier selection. Expert Systems with Applications, 41(4), 2083-2097.

Hammami, R., Frein, Y., & Hadj-Alouane, A. B. (2012). An international supplier selection model with inventory and transportation management decisions. Flexible services and manufacturing journal, 24(1), 4-27.

Jadidi, O., Zolfaghari, S., & Cavalieri, S. (2014). A new normalized goal programming model for multi-objective problems: A case of supplier selection and order allocation. International Journal of Production Economics, 148, 158-165.

Jain, A. K., & Dubes, R. C. (1988). Algorithms for clustering data. Prentice-Hall, Inc.
Kar, A. K. (2014). Revisiting the supplier selection problem: An integrated approach for group decision support. Expert Systems with Applications, 41(6), 2762-2771.

Ku, C. Y., Chang, C. T., & Ho, H. P. (2010). Global supplier selection using fuzzy analytic hierarchy process and fuzzy goal programming. Quality & Quantity, 44(4), 623-640.

Li, Y., Liu, X., & Chen, Y. (2012). Supplier selection using axiomatic fuzzy set and TOPSIS methodology in supply chain management. Fuzzy Optimization and Decision Making, 11(2), 147-176.

Ravindran, A. R., Ufuk Bilsel, R., Wadhwa, V., & Yang, T. (2010). Risk adjusted multicriteria supplier selection models with applications. International Journal of Production Research, 48(2), 405-424.

Rezaei, J., & Ortt, R. (2012). A multi-variable approach to supplier segmentation. International Journal of Production Research, 50(16), 4593-4611.

Saen, R. F. (2009). A decision model for ranking suppliers in the presence of cardinal and ordinal data, weight restrictions, and nondiscretionary factors.Annals of Operations Research, 172(1), 177-192.

Shin, H., Collier, D. A., & Wilson, D. D. (2000). Supply management orientation and supplier/buyer performance. Journal of Operations Management, 18(3), 317-333.

Tidwell, A., & Sutterfield, J. S. (2012). Supplier selection using QFD: a consumer products case study. International Journal of Quality & Reliability Management, 29(3), 284-294.

Tsai, W. C. (2009). Fuzzy measures of supplier evaluation under lean concepts. Journal of the Operational Research Society, 60(7), 1005-1011.

Wangphanich, P., Kara, S., & Kayis, B. (2010). Analysis of the bullwhip effect in multi-product, multi-stage supply chain systems–a simulation approach. International Journal of Production Research, 48(15), 4501-4517.

Wu, T., & Blackhurst, J. (2009). Supplier evaluation and selection: an augmented DEA approach. International Journal of Production Research,47(16), 4593-4608.

Yücenur, G. N., Vayvay, ?., & Demirel, N. C. (2011). Supplier selection problem in global supply chains by AHP and ANP approaches under fuzzy environment. The International Journal of Advanced Manufacturing Technology, 56(5-8), 823-833.