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2023 | OriginalPaper | Chapter

7. Supplier Selection for the Oil Industry Using a Combined BWM & F-VIKOR, Case Study: National Iranian South Oil Company

Authors : Hamzeh Amin-Tahmasbi, Abbas Ayaran, Mahdi Zarepoor

Published in: Advances in Best-Worst Method

Publisher: Springer Nature Switzerland

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Abstract

Supplier selection is one of the most important strategic activities that has a significant impact on the output quality of any company, as it involves multiple criteria for the evaluation and selection of suppliers. The goal of this research is to evaluate and select suppliers for the National Iranian South Oil Company. The opinions of company experts and managers were used for evaluations. The weighting of criteria was done using the Best and Worst method, and the suppliers were ranked using the fuzzy VIKOR. Fuzzy preference relations were used to incorporate the ambiguities and uncertainties that existed in experts’ judgments about the priority of each supplier considering research criteria. The results of using BWM to prioritize contributing factors in supplier selection indicate that the Financial System criterion “production price” is the most important factor in supplier selection. Finally, some practical strategies for managers are provided.

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Literature
1.
Rezaei, J., Nispeling, T., Sarkis, J., & Tavasszy, L. (2016). A supplier selection life cycle approach integrating traditional and environmental criterion using the best and worst method. Journal of Cleaner Production, 135, 577–588.CrossRef
2.
Amin-Tahmasbi, H., Sadafi, S., Ekren, B. Y., & Kumar, V. (2022). A multi-objective integrated optimization model for facility location and order allocation problem in a two-level supply chain network. Annals of Operations Research, 1–30.
3.
Zarrat Dakhely Parast, Z., Haleh, H., Avakh Darestani, S., & Amin-Tahmasbi, H. (2021). Green reverse supply chain network design considering location-routing-inventory decisions with simultaneous pickup and delivery. Environmental Science and Pollution Research, 1–22.
4.
Shafiei, M., Khodaparasti, S., & Khodaparasti, S. (2011). Assessment and selection of suppliers based on the fuzzy DEA & DFA model. In The third national conference on data envelopment analysis, Firoozkooh.
5.
Rodrigues, L., Junior, F., Osiro, L., & Carpinetti, L. C. R. (2014). A comparison between fuzzy AHP and fuzzy TOPSIS methods to supplier selection. Applied Soft Computing, 21, 194–209.CrossRef
6.
Mavi, R., Mark, G., & Mavi, N. (2016). Supplier selection with Shannon entropy and fuzzy TOPSIS in the context of supply chain risk management. Procedia-Social, and Behavioral Sciences, 235, 216–225.CrossRef
7.
Molataifeh, F., & Talebi, D. (2011). The approach of supplier assessment and selection along the supply chain using the combined technique of fuzzy analytic hierarchy process and fuzzy multi-objective linear programming. Industrial Management Vision, 2, 27–42.
8.
Irajpour, A., Hajimirza, M., GolsefidAlavi, M., & Kazemi, S. (2012). Identification and evaluation of the most effective factors in green supplier selection using DEMATEL method. Journal of Basic and Applied Scientific Research, 2(5), 4485–4493.
9.
Pouya, A., & Alizadeh, A. (2014). Solving the problem of selection of suppliers using the combined model of Fuzzy Delphi-VIKOR analytic model. Human Resource Management Research, 4(4).
10.
Daneshvar, B., & Saputro, T. E. (2014). Supplier selection using integrated fuzzy TOPSIS and MCGP: A case study. Procedia-Social and Behavioral Sciences, 116, 3957–3970.CrossRef
11.
Amin-Tahmasbi, H., & Alfi, S. (2018). A fuzzy multi-criteria decision model for integrated suppliers selection and optimal order allocation in the green supply chain. Decision Science Letters, 7(4), 549–566.CrossRef
12.
Haeri, S. A., & Rezaei, J. (2019). A grey-based green supplier selection model for uncertain environments. Journal of Cleaner Production, 221, 768–784.CrossRef
13.
Zolfani, S. H., Chatterjee, P., & Yazdani, M. (2019). A structured framework for sustainable supplier selection using a combined BWM-CoCoSo model. In International scientific conference in business, management and economics engineering (pp. 797–804). Vilnius, Lithuania.
14.
Ecer, F., & Pamucar, D. (2020). Sustainable supplier selection: A novel integrated fuzzy best worst method (F-BWM) and fuzzy CoCoSo with Bonferroni (CoCoSo′B) multi-criterion model. Journal of Cleaner Production, 266, 121981.CrossRef
15.
Javad, M. O. M., Darvishi, M., & Javad, A. O. M. (2020). Green supplier selection for the steel industry using BWM and fuzzy TOPSIS: A case study of Khouzestan steel company. Sustainable Futures, 2, 100012.CrossRef
16.
Masoomi, B., Sahebi, I. G., Fathi, M., Yıldırım, F., & Ghorbani, S. (2022). Strategic supplier selection for renewable energy supply chain under green capabilities (fuzzy BWM-WASPAS-COPRAS approach). Energy Strategy Reviews, 40, 100815.CrossRef
17.
Shang, Z., Yang, X., Barnes, D., & Wu, C. (2022). Supplier selection in sustainable supply chains: Using the integrated BWM, fuzzy Shannon entropy, and fuzzy MULTIMOORA methods. Expert Systems with Applications, 195, 116567.CrossRef
18.
Paul, V. K., Chakraborty, S., & Chakraborty, S. (2022). An integrated IRN-BWM-EDAS method for supplier selection in the textile industry. Decision Making: Applications in Management and Engineering, 5(2), 219–240.
19.
Asadabadi, M. R., Ahmadi, H. B., Gupta, H., & Liou, J. J. (2022). Supplier selection to support environmental sustainability: The stratified BWM TOPSIS method. Annals of Operations Research, 1–24.
20.
Kurniawan, V. R. B., & Puspitasari, F. H. (2021). A fuzzy BWM method for evaluating supplier selection factors in a SME paper manufacturer. In IOP conference series: Materials science and engineering (Vol. 1071, No. 1, p. 012004). IOP Publishing.
21.
Meksavang, P., Shi, H., Lin, S. M., & Liu, H. C. (2019). An extended picture fuzzy VIKOR approach for sustainable supplier management and its application in the beef industry. Symmetry, 11(4), 468.CrossRef
22.
Kannan, D., Mina, H., Nosrati-Abarghooee, S., & Khosrojerdi, G. (2020). Sustainable circular supplier selection: A novel hybrid approach. Science of the Total Environment, 722, 137936.CrossRef
23.
Garg, C. P., & Sharma, A. (2020). Sustainable outsourcing partner selection and evaluation using an integrated BWM-VIKOR framework. Environment, Development and Sustainability, 22, 1529–1557.CrossRef
24.
Kusi-Sarpong, S., Gupta, H., Khan, S. A., Chiappetta Jabbour, C. J., Rehman, S. T., & Kusi-Sarpong, H. (2021). Sustainable supplier selection based on industry 4.0 initiatives within the context of circular economy implementation in supply chain operations. Production Planning & Control, 1–21.
25.
Wei, Q., & Zhou, C. (2023). A multi-criteria decision-making framework for electric vehicle supplier selection of government agencies and public bodies in China. Environmental Science and Pollution Research, 30(4), 10540–10559.CrossRef
26.
Avila, P., Alzira, M., António, P., Goran, P., & Joana, T. (2012). Supplier’s selection model based on an empirical study. Procedia Technology, 5, 625–634.CrossRef
27.
Rezaei, J. (2015). Best–worst multi-criterion decision-making method. Omega, 53, 49–57.CrossRef
28.
Rezaei, J. (2016). Best–worst multi-criteria decision-making method: Some properties and a linear model. Omega, 64, 126–130.CrossRef
29.
Liang, F., Brunelli, M., & Rezaei, J. (2020). Consistency issues in the best worst method: Measurements and thresholds. Omega, 96, 102175.CrossRef
30.
Opricovic, S. (2011). Fuzzy VIKOR with an application to water resources planning. Expert Systems with Applications, 38(10), 12983–12990.CrossRef
31.
Bohra, S. S., & Anvari-Moghaddam, A. (2022). A comprehensive review on applications of multicriteria decision-making methods in power and energy systems. International Journal of Energy Research, 46(4), 4088–4118.CrossRef
Metadata
Title
Supplier Selection for the Oil Industry Using a Combined BWM & F-VIKOR, Case Study: National Iranian South Oil Company
Authors
Hamzeh Amin-Tahmasbi
Abbas Ayaran
Mahdi Zarepoor
Copyright Year
2023
Book
Advances in Best-Worst Method

Print ISBN: 978-3-031-40327-9

Electronic ISBN: 978-3-031-40328-6

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-3-031-40328-6_7

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