Evaluating and Selecting Suppliers in the Setareh Flour Milling Company Supply Chain Using Clustering Techniques

Authors

  • Amir abbas Shojaie * Institute of Communications, Transportation and Logistics, ST.C., Islamic Azad University, Tehran, Iran.
  • Pooyan Hashemi Institute of Communications, Transportation and Logistics, ST.C., Islamic Azad University, Tehran, Iran.

https://doi.org/10.48313/scodm.v2i1.29

Abstract

One of the most important factors in survival of an organization in today's competitive environment is to reduce production costs. Choosing the right suppliers can help us reduce these costs. The selection and assessment of suppliers is a multi-criteria decision-making process, in which quantitative and qualitative criteria are presented in this assessment, our goal in this article is to first compile all the criteria that organizations are conducting in evaluating and The best choice is to help, and in the future, an algorithm that determines the number of clusters of suppliers and then supplies the suppliers in their clusters, in the end is a case study in which to evaluate and select the supply The Setareh flour milling company will review the payment.

Keywords:

Supply chain, Data mining, Clustering technique

References

  1. [1] Lambert, D. M., & Enz, M. G. (2017). Issues in supply chain management: Progress and potential. Industrial marketing management, 62, 1–16. https://doi.org/10.1016/j.indmarman.2016.12.002
  2. [2] Choi, T. Y., & Hartley, J. L. (1996). An exploration of supplier selection practices across the supply chain. Journal of operations management, 14(4), 333–343. https://doi.org/10.1016/S0272-6963(96)00091-5
  3. [3] Karpak, B., Kumcu, E., & Kasuganti, R. R. (2001). Purchasing materials in the supply chain: managing a multi-objective task. European journal of purchasing & supply management, 7(3), 209–216. https://doi.org/10.1016/S0969-7012(01)00002-8
  4. [4] Ghodsypour, S. H., & O’brien, C. (2001). The total cost of logistics in supplier selection, under conditions of multiple sourcing, multiple criteria and capacity constraint. International journal of production economics, 73(1), 15–27. https://doi.org/10.1016/S0925-5273(01)00093-7
  5. [5] Goffin, K., Szwejczewski, M., & New, C. (1997). Managing suppliers: when fewer can mean more. International journal of physical distribution & logistics management, 27(7), 422–436. https://www.researchgate.net
  6. [6] Shin, H., Collier, D. A., & Wilson, D. D. (2000). Supply management orientation and supplier/buyer performance. Journal of operations management, 18(3), 317–333. https://doi.org/10.1016/S0272-6963(99)00031-5
  7. [7] Ittner, C. D., Larcker, D. F., Nagar, V., & Rajan, M. V. (1999). Supplier selection, monitoring practices, and firm performance. Journal of accounting and public policy, 18(3), 253–281. https://doi.org/10.1016/S0278-4254(99)00003-4
  8. [8] Van Weele, A. (2018). Purchasing and supply chain management. UK. Cengage Learning EMEA. http://thuvienso.thanglong.edu.vn/handle/TLU/3595
  9. [9] De Boer, L., van der Wegen, L., & Telgen, J. (1998). Outranking methods in support of supplier selection. European journal of purchasing & supply management, 4(2–3), 109–118. https://doi.org/10.1016/S0969-7012(97)00034-8
  10. [10] Lee, E. K., Ha, S., & Kim, S. K. (2001). Supplier selection and management system considering relationships in supply chain management. IEEE transactions on engineering management, 48(3), 307–318. https://www.academia.edu/download/50581454/Supplier_selection_and_management_system.pdf
  11. [11] Weber, C. A., Current, J. R., & Benton, W. C. (1991). Vendor selection criteria and methods. European journal of operational research, 50(1), 2–18. https://doi.org/10.1016/0377-2217(91)90033-R
  12. [12] Chen, C. T., Lin, C. T., & Huang, S.-F. (2006). A fuzzy approach for supplier evaluation and selection in supply chain management. International journal of production economics, 102(2), 289–301. https://doi.org/10.1016/j.ijpe.2005.03.009
  13. [13] Lin, R. H. (2012). An integrated model for supplier selection under a fuzzy situation. International journal of production economics, 138(1), 55–61. https://doi.org/10.1016/j.ijpe.2012.02.024
  14. [14] Lin, R. H., Chuang, C. L., Liou, J. J. H., & Wu, G.-D. (2009). An integrated method for finding key suppliers in SCM. Expert systems with applications, 36(3), 6461–6465. https://doi.org/10.1016/j.eswa.2008.07.078
  15. [15] Ferreira, L., & Borenstein, D. (2012). A fuzzy-Bayesian model for supplier selection. Expert systems with applications, 39(9), 7834–7844. https://doi.org/10.1016/j.eswa.2012.01.068
  16. [16] Bruno, G., Esposito, E., Genovese, A., & Passaro, R. (2012). AHP-based approaches for supplier evaluation: Problems and perspectives. Journal of purchasing and supply management, 18(3), 159–172. https://doi.org/10.1016/j.pursup.2012.05.001
  17. [17] Lasch, R., & Janker, C. G. (2005). Supplier selection and controlling using multivariate analysis. International journal of physical distribution & logistics management, 35(6), 409–425. https://www.emerald.com
  18. [18] Huang, S. H., & Keskar, H. (2007). Comprehensive and configurable metrics for supplier selection. International journal of production economics, 105(2), 510–523. https://doi.org/10.1016/j.ijpe.2006.04.020
  19. [19] Kagnicioglu, C. H. (2006). A fuzzy multiobjective programming approach for supplier selection in a supply chain. The business review, 6(1), 107–115.
  20. [20] Morlacchi, P., Pavesi, S., & Savoldelli, A. (1998). SMEs in supply chain: a supplier evaluation model and some empirical results. Organizing the extended enterprise: IFIP TC5/WG5. 7 International working conference on organizing the extended enterprise 15–18 September 1997, Ascona, Ticino, Switzerland (pp. 158-175). Springer US. https://doi.org/10.1007/978-0-387-35295-4_13
  21. [21] Ghodsypour, S. H., & O’brien, C. (1997). An integrated method using the analytical hierarchy process with goal programming for multiple sourcing with discounted prices. Proceedings of the international conference on production research (ICPR), Osaka, Japan.
  22. [22] Kumar, M., Vrat, P., & Shankar, R. (2004). A fuzzy goal programming approach for vendor selection problem in a supply chain. Computers & industrial engineering, 46(1), 69–85. https://doi.org/10.1016/j.cie.2003.09.010

Published

2025-02-18

Issue

Vol. 2 No. 1 (2025): Supply Chain and Operations Decision Making

Section

Articles

How to Cite

Evaluating and Selecting Suppliers in the Setareh Flour Milling Company Supply Chain Using Clustering Techniques. (2025). Supply Chain and Operations Decision Making, 2(1), 50-59. https://doi.org/10.48313/scodm.v2i1.29

Similar Articles

You may also start an advanced similarity search for this article.