Supplier evaluation and classifying for outsourcing based on PROMSORT technique

Document Type : Original Article

Authors

1 Faculty of Shahrood University of Technology

2 Shahrood University of Technology

3 Isfahan University of Technology

10.52547/jbmp.2023.231095.1483

Abstract

Today, many organizations perform the outsourcing process in order to maintain their competitive advantage in global markets and reduce investment risks. Carrying out this process requires careful selection of suppliers who participate in the organization's outsourcing circle. For this purpose, managers need accurate scientific tools to evaluate, analyze and classify suppliers. In this research, while identifying the most important outsourcing criteria, suppliers are evaluated using the promsort technique.
According to the purpose of the research, this research is in the category of applied research in terms of orientation, and in terms of the nature of the method, it is descriptive-survey. On the other hand, due to the use of Promsort technique based on border profiles, it is considered as a quantitative research. The statistical population of the research includes all companies active in the supply chain of Shahroud Negin Construction Company, which have been examined and analyzed in the evaluation and classification process.
This research was conducted in the form of a case study of Shahroud Negin company and by evaluating its 22 suppliers. In order to outsource the activities of the company and based on the used technique, the suppliers of this company are placed in four categories.
Based on the results of this research, while showing the advantage of the technique used in this research, a brief comparison with Electre III and Promethee III methods, managers can use the Promsort technique, while comprehensively evaluating suppliers and classifying them in the form of defined boundary profiles, commission their activities.

Keywords

Main Subjects

References

  1. Akhtar, M. (2023). Logistics Services Outsourcing Decision Making: a literature review and research agenda. International Journal of Production Management and Engineering, 11(1), 73-88.
  2. Araz, C., & Ozkarahan, I. (2007). Supplier evaluation and management system for strategic sourcing based on a new multicriteria sorting International journal of production economics, 106(2), 585-606.
  3. Arnold, U. (2000). New dimensions of outsourcing: a combination of transaction cost economics and the core competencies concept. European journal of purchasing & supply management, 6(1), 23-29.
  4. Asgharizade, E., Bitaraf, A., & Ajali, M. (2011). Providing a hybrid model using fuzzy PROMETHEE and multi-objective linear programming for outsourcing warranty services. Journal of Industrial Management Perspective, 1(2, Summer 2011), 43-60.
  5. Brans, J. P., & Vincke, P. (1985). Note—A Preference Ranking Organisation Method: (The PROMETHEE Method for Multiple Criteria Decision[1]Making). Management science, 31(6), 647-656.
  6. Darvazeh, S. S., Mooseloo, F. M., Vandchali, H. R., Tomaskova, H., & Tirkolaee, B. (2022). An integrated multi-criteria decision-making approach to optimize the number of leagile-sustainable suppliers in supply chains. Environmental Science and Pollution Research, 29(44), 66979-67001.
  7. De Smet, Y., & Guzmán, L. M. (2004). Towards multicriteria clustering: An extension of the k-means algorithm. European Journal of Operational Research, 158(2), 390-398.
  8. Dev, N. K., Swami, S., & Caprihan, R. (2010). A discrete dynamic programming approach towards optimal outsourcing policy in supply chain management. Journal of Advances in Management Research.
  9. Doumpos, M., & Zopounidis, C. (2004). A multicriteria classification approach based on pairwise comparisons. European Journal of Operational Research, 158(2), 378-389.
  10. Drucker, P. (1985). How to measure white-collar productivity. Wall Street Journal, 17.
  11. Ebrahim pour Azbary, M., & Akbari, M. (2021). Ranking of Supplier Selection Indicators for Outsourcing Services under Uncertainty. Roshd-e[1]Fanavari, 1(65), 46.
  12. Efendigil, T., Önüt, S., & Kongar, E. (2008). A holistic approach for selecting a third-party reverse logistics provider in the presence of Computers & industrial engineering, 54(2), 269-287.
  13. Fallah Lajimi, H., & Jafari Soruni, Z. (2020). Suppliers Evaluation in Uncertain Conditions by Combining Dempster Shafer and Multi-Criteria Decision Making Techniques. Journal of Executive Management, 11(22), 115-150.
  14. Fallah Lajimi, H., Mohammadi Kani, S. Z., & Rasooli Khatir, Z. (2019). Applying of piecewise linear value functions in LARG suppliers ranking: Multi[1]criteria decision making mixed approach. Journal of Industrial Management Perspective, 9(1, Spring 2019), 115-140.
  15. Fallah, M.R., Moini, H., & Hafizi, A. (2023). Providing a framework for explaining and shaping strategic innovation in start-up businesses. Business Management Perspective, 21(52), -. doi: 10.52547/2023.228681.1384.
  16. Figueira, J. J., De Smet, Y., & Brans, J. P. (2005). MCDA methods for sorting and clustering problems: Promethee TRI and Promethee CLUSTER.
  17. Gupta, D., Snir, E. M., & Chen, Y. (2015). Contractors’ and agency decisions and policy implications in A+ B bidding. Production and Operations Management, 24(1), 159-177.
  18. Hariri, A., Domingues, P., & Sampaio, P. (2023). Integration of multi-criteria decision-making approaches adapted for quality function deployment: an analytical literature review and future research agenda. International Journal of Quality & Reliability Management.
  19. Hsiao, H. I., Van der Vorst, J. G. A. J., Kemp, R. G. M., & Omta, S. W. F. (2010). Developing a decision‐making framework for levels of logistics outsourcing in food supply chain networks. International Journal of Physical Distribution & Logistics Management, 40(5), 395-414.
  20. Ke, H., Cui, Z., Govindan, K., & Zavadskas, E. K. (2015). The impact of contractual governance and trust on EPC projects in construction supply chain Engineering Economics, 26(4), 349-363.
  21. KHARIDAR, F., & POUYA, A. (2016). The Taxonomy of supplier selection strategies and their business performance (The case study of ceramic and tile companies).
  22. Książek, M., & Ciechowicz, P. (2016). Selection of the general contractor using the AHP method. Archives of Civil Engineering, 62(3), 105-116.
  23. Léger, J., & Martel, J. M. (2002). A multicriteria assignment procedure for a nominal sorting problematic. European Journal of Operational Research, 138(2), 349-364.
  24. Liu, A., Xiao, Y., Lu, H., Tsai, S. B., & Song, W. (2019). A fuzzy three-stage multi[1]attribute decision-making approach based on customer needs for sustainable supplier selection. Journal of Cleaner Production, 239, 118043.
  25. Nguyen, L. H., & Watanabe, T. (2017). The impact of project organizational culture on the performance of construction projects. Sustainability, 9(5), 781.
  26. Parvizian, K., & Dehghan Nayeri, F. (2020). A Framework For Strategic Outsourc[1]ing And Venture Capital In Value Chain. Commercial Strategies, 8(44), 179-190.
  27. Ribas, I., Lusa, A., & Corominas, A. (2021). Multi-step process for selecting strategic sourcing options when designing supply chains. Journal of Industrial Engineering and Management, 14(3), 477-495.
  28. Roy, B. (1991). The outranking approach and the foundations of ELECTRE Theory and decision, 31, 49-73.
  29. Semaan, N., & Salem, M. (2017). A deterministic contractor selection decision support system for competitive bidding. Engineering, construction and architectural management.
  30. Tatum, C. B. (2018). Construction engineering research: integration and Journal of Construction Engineering and Management, 144(3), 04018005.
  31. Zopounidis, C., & Doumpos, M. (2002). Multicriteria classification and sorting methods: A literature review. European Journal of Operational Research, 138(2), 229-246

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History

  • Receive Date: 09 February 2023
  • Revise Date: 14 March 2023
  • Accept Date: 15 March 2023

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