Presenting an integrated BWM-VIKOR-based approach for selecting suppliers of raw materials in the supply chain with emphasis on agility and flexibility criteria (Case study: Saipa Corporation)

Document Type : Article

Authors

1 Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran.

2 Department of Industrial Engineering, Parand Branch, Islamic Azad University, Parand, Iran.

3 IDepartment of Industrial Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran.

10.24200/sci.2019.51101.2003

Abstract

In this study, to select suppliers of raw materials in Saipa Automotive Corporation as one of the largest factories in Iran, environmental criteria, flexibility and agility criteria are considered and some sub-criteria are also considered for each criterion. The sub-criteria include green design, clean technology, environmental performance, agility in operational systems, market agility, logistics agility, product flexibility, flexibility in transportation, resource flexibility. It should be mentioned that the said criteria may need modification and revision due to opinions of experts during the research implementation. Therefore, main variables for the issue of identification of criteria affecting selection of suppliers are studied with regard to environmental factors within the organization. In order to rank suppliers and to select the best option based on a best-worst multi-criteria decision-making method (BWM) and VIKOR-based approach was used. According to the calculations based on the proposed process in this study and the information about the desired criteria, 7 suppliers were selected as the best options. As the approach presented in this study has combined two worst-best method to determine weights and VIKOR method for final ranking of options, this approach can be also used in other studies.

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References

1. Ha, S.H. and Krishnan, R. A hybrid approach to supplier selection for the maintenance of a competitive supply chain", Expert Systems with Applications, 34(2), pp. 1303-1311 (2008). 2. Choi, T.Y. and Hartley, J.L. An exploration of supplier selection practices across the supply chain", Journal of Operations Management, 14(4), pp. 333- 343 (1996). 3. Seuring, S. and Muller, M. From a literature review to a conceptual framework for sustainable supply chain management", Journal of Cleaner Production, 16(15), pp. 1699-1710 (2008). 4. Khatami Firoozabadi, M., Olfat, L., and Dolabi, S. Selection of suppliers in the sustainable supply chain using fuzzy multi-attribute decision making techniques (Case study: Manufacturing industry)", Journal of Engineering Decision, 1(3), pp. 7-38 (2016). 5. Kuo, R.J., Wang, Y.C., and Tien, F.C. In the relevant studies of supply chain, mostly selecting supplier in traditional environment and regardless of sustainability factors is considered", Journal of Cleaner Production, 18(12), pp. 1161-1170 (2010). 6. Zailani, S., Jeyaraman, K., Vengadasan, G., et al. Sustainable supply chain management (SSCM) in Malaysia: A survey", International Journal of Production Economics, 140(1), pp. 330-340 (2012). 7. Kahraman, C., Cebeci, U., and Ulukan, Z.. Multicriteria supplier selection using fuzzy AHP", Logistics Information Management, 16(6), pp. 382-394 (2003). 8. Cakravastia, A. and Takahashi, K. Integrated model for supplier selection and negotiation in a make-toorder environment", International Journal of Production Research, 42(21), pp. 4457-4474 (2004). 9. Heung, H.S., Moon, C., Chuang, C.L., et al. Supplier selection and planning model using AHP", International Journal of the Information Systems for Logistics and Management, 1(1), pp. 47-53 (2005). 10. Chen, C.T., Lin, C.T., and Huang, S.F. A fuzzy approach for supplier evaluation and selection in supply chain management", International Journal of Production Economics, 102(2), pp. 289-301 (2006). 11. Liao, Z. and Rittscher, J. A multi-objective supplier selection model under stochastic demand conditions", International Journal of Production Economics, 105(1), pp. 150-159 (2007). 12. Kumar, P., Shankar, R., and Yadav, S.S. An integrated approach of analytic hierarchy process and fuzzy linear programming for supplier selection", International Journal of Operational Research, 3(6), pp. 614-631 (2008). 13. Kokangul, A. and Susuz, Z. Integrated analytical hierarch process and mathematical programming to supplier selection problem with quantity discount", Applied Mathematical Modelling, 33(3), pp. 1417-1429 (2009). 14. Kuo, R.J., Wang, Y.C., and Tien, F.C. Integration of arti_cial neural network and MADA methods for green supplier selection", Journal of Cleaner Production, 18(12), pp. 1161-1170 (2010). 15. Yakovleva, N., Sarkis, J., and Sloan, T. Sustainable benchmarking of supply chains: the case of the food industry", International Journal of Production Research, 50(5), pp. 1297-1317 (2012). E. Azizi et al./Scientia Iranica, Transactions E: Industrial Engineering 26 (2019) 2601{2614 2613 16. Shaw, K., Shankar, R., Yadav, S.S., and Thakur, L.S. Supplier selection using fuzzy AHP and fuzzy multiobjective linear programming for developing low carbon supply chain", Expert Systems with Applications, 39(9), pp. 8182-8192 (2012). 17. Govindan, K., Khodaverdi, R., and Jafarian, A. A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach", Journal of Cleaner Production, 47, pp. 345-354 (2012). 18. Junior, F.R.L., Osiro, L., and Carpinetti, L.C.R. A comparison between fuzzy AHP and fuzzy TOPSIS methods to supplier selection", Applied Soft Computing, 21, pp. 194-209 (2014). 19. Hashemi, S.H., Karimi, A., and Tavana, M. An integrated green supplier selection approach with analytic network process and improved grey relational analysis", International Journal of Production Economics, 159, pp. 178-191 (2015). 20. Kumar, D., Rahman, Z., and Chan, F.T. A fuzzy AHP and fuzzy multi-objective linear programming model for order allocation in a sustainable supply chain: A case study", International Journal of Computer Integrated Manufacturing, 30(6), pp. 535-551 (2016). 21. Afshar Bakeshlou, E., Arshadi Khamseh, A., Goudarzian Asl, M.A., et al. Evaluating a green supplier selection problem using a hybrid MODM algorithm", Journal of Intelligent Manufacturing, 28(4), pp. 913-927 (2017). 22. Liu, T., Deng, Y., and Chan, F. Evidential supplier selection based on DEMATEL and game theory", International Journal of Fuzzy Systems, 20(4), pp. 1321-1333 (2018). 23. Banaeian, N., Mobli, H., Fahimnia, B., et al. Green supplier selection using fuzzy group decision making methods: A case study from the agri-food industry", Computers & Operations Research, 89, pp. 337-347 (2018). 24. Jain, V., Sangaiah, A.K., Sakhuja, S., et al. Supplier selection using fuzzy AHP and TOPSIS: A case study in the Indian automotive industry", Neural Computing and Applications, 29(7), pp. 555-564 (2018). 25. Chatterjee, K. and Samarjit, K.A.R. Supplier selection in Telecom supply chain management: A fuzzy- Rasch based COPRAS-G method", Technological and Economic Development of Economy, 24(2), pp. 765- 791 (2018). 26. Sahebjamnia, N. Resilience supplier selection and order allocation under uncertainty", Scientia Iranica (In Press). Doi: 10.24200/sci.2018.5547.1337 27. Karsak, E.E. and Dursun, M. An integrated fuzzy MCDM approach for supplier evaluation and selection", Computers & Industrial Engineering, 82, pp. 82-93 (2015). 28. Yazdani, M., Chatterjee, P., Zavadskas, E.K., et al. Integrated QFD-MCDM framework for green supplier selection", Journal of Cleaner Production, 142, pp. 3728-3740 (2017). 29. Buyukozkan, G. and Go_cer, F. Application of a new combined intuitionistic fuzzy MCDM approach based on axiomatic design methodology for the supplier selection problem", Applied Soft Computing, 52, pp. 1222-1238 (2017). 30. Ku, C.Y., Chang, C.T., and Ho, H.P. Global supplier selection using fuzzy analytic hierarchy process and fuzzy goal programming", Quality & Quantity, 44(4), pp. 623-640 (2010). 31. Ho, W., Xu, X., and Dey, P.K. Multi-criteria decision making approaches for supplier evaluation and selection: A literature review", European Journal of Operational Research, 202(1), pp. 16-24 (2010). 32. Grisi, R.M., Guerra, L., and Naviglio, G. Supplier performance evaluation for green supply chain management", In Business Performance Measurement and Management, Springer Berlin Heidelberg, pp. 149-163 (2010). 33. Bai, C. and Sarkis, J. Integrating sustainability into supplier selection with grey system and rough set methodologies", International Journal of Production Economics, 124(1), pp. 252-264 (2010). 34. Large, R.O. and Thomsen, C.G. Drivers of green supply management performance: Evidence from Germany", Journal of Purchasing and Supply Management, 17(3), pp. 176-184 (2011). 35. Mafakheri, F., Breton, M., and Ghoniem, A. Supplier selection-order allocation: A two-stage multiple criteria dynamic programming approach", International Journal of Production Economics, 132(1), pp. 52-57 (2011). 36. Amindoust, A., Ahmed, S., Sagha_nia, A., et al. Sustainable supplier selection: A ranking model based on fuzzy inference system", Applied Soft Computing, 12(6), pp. 1668-1677 (2012). 37. Shen, L., Olfat, L., Govindan, K., et al. A fuzzy multi criteria approach for evaluating green supplier's performance in green supply chain with linguistic preferences", Resources, Conservation and Recycling, 74, pp. 170-179 (2013). 38. Dargi, A., Anjomshoae, A., Rahiminezhad Galankashi, M., et al. Supplier selection: A fuzzy-ANP approach", Procedia Computer Science, 31, pp. 691-700 (2013). 39. Memon, M.S., Lee, Y.H., and Mari, S.I. Group multicriteria supplier selection using combined grey systems theory and uncertainty theory", Expert Systems with Applications, 42(21), pp. 7951-7959 (2015). 40. Rabieh, M., Modarres, M., and Azar, A. Robustfuzzy model for supplier selection under uncertainty: An application to the automobile industry", Scientia Iranica, 25(4), pp. 2297-2311 (2018). 41. Rezaei, J. Best-worst multi-criteria decision-making method: Some properties and a linear model", Omega, 64, pp. 126-130 (2016). 2614 E. Azizi et al./Scientia Iranica, Transactions E: Industrial Engineering 26 (2019) 2601{2614 42. Rezaei, J. Best-worst multi-criteria decision-making method", Omega, 53, pp. 49-57 (2015). 43. Rezaei, J., Nispeling, T., Sarkis, J., et al. A supplier selection life cycle approach integrating traditional and environmental criteria using the best worst method", Journal of Cleaner Production, 135, pp. 577-588 (2016). 44. Opricovic, S. Multicriteria optimization of civil engineering systems", PhD Thesis, Faculty of Civil Engineering, Belgrade (1998). 45. Tzeng, G.H., Teng, M.H., Chen, J.J., and Opricovic, S. Multicriteria selection for a restaurant location in Taipei", International Journal of Hospitality Management, 21(2), pp. 171-187 (2002). 46. Opricovic, S. and Tzeng, G.H. Extended VIKOR method in comparison with outranking methods", European Journal of Operational Research, 178, pp. 514-529 (2007).
Scientia Iranica
Volume 26, Issue 4
Transactions on Industrial Engineering (E)
July and August 2019
Pages 2601-2614

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