نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری مدیریت صنعتی، گروه مدیریت، دانشگاه آزاد اسلامی واحد زنجان، زنجان، ایران.

2 استادیار، گروه مدیریت، دانشگاه زنجان، زنجان، ایران.

3 استادیار، گروه مدیریت، دانشگاه آزاد اسلامی واحد زنجان، زنجان، ایران.

10.52547/jimp.12.2.227

چکیده

هدف اصلی این پژوهش، شناسایی معیارهای ارزیابی سنتی، سبز و تاب‌آوری در عملکرد تأمین‌کنندگان سبز و تاب‌آور و رتبه‌بندی آن‌ها با رویکرد تحلیل مسیر، سوارا و تاپسیس در شرکت پتروشیمی فناوران است. روش پژوهش از نظر هدف، کاربردی و از نظر جمع‌آوری داده‌ها، توصیفی ـ پیمایشی است. ابتدا با تحلیل مسیر، اهمیت معیارها بررسی شد. جامعه آماری، 55 نفر از خبرگان شرکت یادشده است که به­‌دلیل محدودبودن، نظرهای کل اعضای جامعه در مرحله اول موردمطالعه قرار گرفت. در مرحله دوم با روش غیراحتمالی و هدفمند، 30 نفر از صاحب‌نظران به‌عنوان نمونه آماری برای رتبه‌­بندی معیارها­ انتخاب و در مرحله سوم 10 نفر از مدیران حوزه تأمین به‌منظور آزمون مدل و رتبه‌بندی تأمین‌کنندگان انتخاب شدند. طبق نتایج از میان معیارهای سنتی، زیرمعیار «کیفیت» با بیشترین وزن از نظر اهمیت در رتبه نخست و زیرمعیار «حجم معاملات» در رتبه آخر؛ از میان معیارهای سبز، زیرمعیار «رعایت استانداردهای لازم» به‌عنوان مهم‌ترین زیرمعیار و زیرمعیار «رعایت مسائل زیست‌محیطی» در رتبه آخر؛ از میان معیارهای تاب‌آوری، زیرمعیار «چابکی» در جایگاه نخست و زیرمعیار «پیچیدگی» در جایگاه آخر قرار گرفت. در ارزیابی نهایی اهمیت معیارهای اصلی پژوهش نیز معیار «تاب‌آوری» در رتبه نخست، معیار «سبز» در رتبه دوم و معیار «سنتی» در رتبه آخر قرار گرفت.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Developing an Integrated Model for Evaluating the Performance of Green and Resilient Suppliers by Combining Path Analysis, Sawara and TOPSIS Decision-Making Techniques

نویسندگان [English]

  • Abbas Nasiri 1
  • Ali Mansory 2
  • Nabiollah Mohammadi 3

1 Ph.D Student, Department of Management, Zanjan Branch, Isamic Azad University, Zanjan, Iran.

2 Assistant Professor, Department of Management, University of Zanjan, Zanjan, Iran.

3 Assistant Professor, Department of Management, Zanjan Branch, Isamic Azad University, Zanjan, Iran.

چکیده [English]

The main purpose of this study is to identify traditional, green and resilience evaluation criteria in the performance of green and resilient suppliers and rank them with the path analysis approach, SWARA and TOPSIS in Fanavaran Petrochemical Company. The research method is applied in terms of purpose and descriptive-survey in terms of data collection. The statistical population is 55 experts that due to their limitations, the opinions of all members of the society were studied in the first stage with path analysis. In the second stage, 30 experts were selected as a statistical sample for ranking criteria and in the third stage, 10 supply managers were selected to supplier ratings. Among the traditional criteria, the sub-criterion "quality" in the first rank and the sub-criterion "trading volume" in the last rank; Among the green criteria, "observance of necessary standards" as the most important sub-criterion and "observance of environmental issues" in the last rank; Among the resilience criteria, "agility" was in the first place and "complexity" in the last place. In the final evaluation of the main criteria, the criterion of "resilience" came in the first rank, the criterion of "green" in the second rank and the criterion of "traditional" in last.

کلیدواژه‌ها [English]

  • Performance
  • Green and Resilient Suppliers
  • Path Analysis
  • SWARA
  • TOPSIS
  1. Abzar, S. (2016). Identifying and Prioritizing Factors in Chain Resilience Management Using Network Analysis Technique (Case Study: Saman Khodro). Master Degree Thesis, Industrial engineering, Azad University of Njaf ASbad, 2016. [In Persian]
  2. Ajali, M. & GHasemian sahebi, I. (2017). Prioritization of executive barriers to total quality management in the gas industry using the gradual weighting evaluation ratio analysis approach. Journal of Standard and Quality Management Extension Quarterly, 6(2), Consecutive 20. (In Persian)
  3. Akman, G. (2015). Evaluating suppliers to include green supplier development programs via fuzzy c-means and VIKOR methods. Ind. Eng. 86, 69–82.
  4. Amani, M., Ashrafi, A., & Dehghanan, H. (2018). Barriers to Green Supply Chain Acceptance Using Fuzzy Demitel Technique. Quarterly Journal of Information Technology Management Studies, 5(91), 179-147. (In Persian)
  5. Asgharpour, M.J. (1978). Multi-criteria decisions. Tehran: University of Tehran Press. [In Persian]
  6. Aslani Liaei, V., Abedi, S., Irajpour, A.R. & Ehtesham Rathi, (2021). Designing a Model for Evaluation of Sustainable Supply Chain Multi Capabilities Based on Artificial Intelligence, Industrial Management Perspective, 11(43), 107-129. (In Persian)
  7. Asgarnezhad Nouri, , Saebnia, S. & Foladi, E. (2020). Effect of Lean and Agile Supply Chain Strategies on Supply Chain Responsiveness and Firm Performance: The Mediating role of Postponing Order and Strategic Partnership of Suppliers (Case Study: Automotive Industry). Industrial Management Perspective, 10(39), 65-89. (In Persian)
  8. Blackhurst, J., Craighead, C.W., Elkins, D. & Handfield, R.B. (2005). An empirically derived agenda of critical research issues for managing supply-chain disruptions. J. Prod. Res. 43 (19), 4067- 4081.
  9. Carvalho, H., Barroso, A. P., Machado, V. H., Azevedo, S. & Cruz-Machado, V. (2012). Supply chain redesign for resilience using simulation. Computers & Industrial Engineering, 62(1), 329-341.
  10. Dickson, G. (1966). An analysis of vendor selection systems and decisions. Purch. 2(1), 5–17.
  11. Govindan, K. & Sivakumar, R. (2016). Green supplier selection and order allocation in a low-carbon paper industry: integrated multi-criteria heterogeneous decision making and multi-objective linear programming approaches. Oper. Res. 238, 243–276.
  12. Govindan, K., Rajendran, S., Sarkis, J. & Murugesan, P. (2015). Multi criteria decision making approaches for green supplier evaluation and selection: a literature review. J. Clean. Prod. 98, 66–83.
  13. Haldar, A., Ray, A., Banerjee, D. & Ghosh, S. (2014). Resilient supplier selection under a fuzzy environment. J. Manage. Sci. Eng. Manage. 9 (2), 147–156.
  14. Ha, S.H. & Krishnan, R.(2008). A hybrid approach to supplier selection for the maintenance of a competitive supply Expe. Sys. with Appl. 34, 1303–1311.
  15. M, Mehregan, M.R & Ghayem, H. (2021). Sustainable Supply Model of Rotating Equipment Spare Parts in Iran’s Oil Industry using a Combined Approach of System Dynamics (SD) and Strategic Assumptions Surfacing and Testing (SAST). Industrial Management Perspective,11(43), 9-43 (Original Article). (In persian)
  16. Kamalahmadi, M. & Parast, M.M. (2016). A review of the literature on the principles of enterprise and supply chain resilience: Major findings and directions for future research. International Journal of Production Economics, 171, 116-133.
  17. Kamalakanta Mudulia K. G. (2013). The Role of behavioral factors in green supply chain management implementation in Indian mining industries. Resources, Conservation and Recycling, 2013.
  18. Khodabakhsh et al. (2015). Identification and ranking of supply chain resilience factors in critical situations with a passive defense approach. Quarterly Journal of Passive Defense, 9(33), 36-25. (In Persian)
  19. -Klibi, W., Martel, A., & Guitouni, A. (2010). The design of robust value-creating supply chain networks: a critical review. European Journal of Operational Research, 203(2), 283–293.
  20. Kuo, R.J., & Lin., Y.J. (2011). Supplier selection using analytic network process and data envelopment analysis. International. Journal of Production Research, 1-12. First ed.
  21. Large, R.O., & Thomsen, C.G. (2011). Drivers of Green Supply Management Performance: Evidence from Germany. Journal of Purchasing & Supply Management, 17, 176–184,.
  22. Masudin, I., Wastono, T., & Zulfikarijah, F. (2018). The Effect of Managerial Intention and Initiative on Green Supply Chain Management Adoption in Indonesian Manufacturing Performance, Cogent Business & Management, http://dx.doi.org/10.1080/23311975.2018.148521.
  23. Mitra, K., Gudi, R.D., Patwardhan, S.C. & Sardar, G. (2009). Towards resilient supply chains: Uncertainty analysis using fuzzy mathematical programming. Eng. Res. Des. 87, 967–981.
  24. Mohammed A., Wang Q. & Li X. (2017a). Developing a meat supply chain network design using a multi objective possibilistic programming approach. British Food Journal, 119(3), 690-706.
  25. Mohammed, A. & Wang, Q. (2017b). The fuzzy multiobjective distribution planner for a green meat supply chain. International J. Pro Eco., 184, 47–58
  26. Mohammed, A., Wang, Q., Alyahya, S. & Binnette, N. (2017c). Design and optimization of an RFID-enabled automated warehousing system under uncertainties: A multi-criterion fuzzy programming approach. The International Journal of Advanced Manufacturing Technology. 91(5), 1661-1670.
  27. Pramanik, D., Subhash, N., Haldar, A., Mondal, S.C., Naskar, S.N. & Ray. A. (2017). Resilient supplier selection using AHP-TOPSIS-QFD under a fuzzy environment. International Journal of Management Science and Engineering Management, 12(1), 45-54.
  28. Purvis, L., Spall, S., Naim, M. & Spiegler, V. (2016). Developing a resilient supply chain strategy during ‘boom’ and ‘bust’. Production Planning & Control, 27(7-8), 579-590.
  29. Rajesh, R., & Ravi, V. (2015). Supplier selection in resilient supply chains: a grey relational analysis approach. Journal of Cleaner Production, 86, 343-359.
  30. Sahu, A.K., Datta, S., & Mahapatra, S.S. (2016). Evaluation and selection of resilient suppliers in fuzzy environment: Exploration of fuzzy-VIKOR. Benchmarking: An International Journal, 23(3), 651- 673.
  31. Shen, L., Olfat, L., Govindan, K., Khodaverdi, R. & Diabat, A. (2013). A fuzzy multi criteria approach for evaluating green supplier’s performance in green supply chain with linguistic preferences”, Resources, Conservation and Recycling, 74(1), 170- 179.
  32. Songa, W., Xub, Z. & Liu, H-C. (2017). Developing sustainable supplier selection criteria for solar airconditioner manufacturer: An integrated approach. Renewable and Sustainable Energy Reviews, 79 (2017) 1461–1471.
  33. Su-Yol, L. (2015). Drivers for the participation of small and medium-sized suppliers in green supply chain. ISSN 1359-8546.
  34. Taqi Zadeh Yazdi, M.R., Amrullahi Bioki, N. & Mohammadi Balani, A.K (2015). Assessing the Relationships between Factors Affecting the Implementation of Green Supply Chain Management and Ranking of Companies in the Supply Chain (Case Study: Tile and Ceramic Industry of Yazd Province). Industrial Management, Faculty of Management, 8(4), 555-574. (In Persian)
  35. Torabi, S.A., Baghersad, M., & Mansouri, S.A. (2015). Resilient supplier selection and order allocation under operational and disruption risks. Transportation Research Part E: Logistics and Transportation Review, 79, 22-48