شناسایی معیارها و رتبه‌بندی تامین‌کنندگان پایدار در زنجیره تامین شرکت سهامی ذوب آهن اصفهان با استفاده از روش تحلیل تم و MARCOS
محورهای موضوعی :
مدیریت صنعتی
Farzad Tajmiri Rostami
1
,
farhad farhadi
2
1 - Industrial Management, Noor-e- Hedayat Higher Education Institute, Shahrekord, Iran
2 - Assistant Professor, Department of Industrial Management, Noore Hedayat Institute of Higher Education, Shahrekord, Iran
تاریخ دریافت : 1400/09/12
تاریخ پذیرش : 1401/03/05
تاریخ انتشار : 1401/04/25
کلید واژه:
رتبه بندی تامین کنندگان,
روش MARCOS. مقدمه,
مدیریت زنجیره تامین پایدار,
ذوب آهن اصفهان,
تصمیم‌گیری چند معیاره,
چکیده مقاله :
با افزایش مقررات و محدودیت‌های زیست‌محیطی و افزایش آگاهی اجتماعی به منظور دستیابی به اهداف توسعه پایدار، نظارت دولت درباره مباحث زیست محیطی و اجتماعی در سازمان‌ها سختگیرانه‌تر شده است. از اینرو هدف از انجام این پژوهش شناسایی معیارها و رتبه‌بندی تامین‌کنندگان پایدار سنگ آهن شرکت سهامی ذوب آهن اصفهان، با استفاده از روش‌های تصمیم‌گیری چندمعیاره جدید MARCOS می‌باشد. پژوهش حاضر از نوع کاربردی می‌باشد که به روش کیفی- کمی انجام شده است. جامعه آماری این پژوهش خبرگان بخش خرید و تامین مواد اولیه شرکت سهامی ذوب‌آهن اصفهان بوده است که با روش نمونه‌گیری هدفمند ده نفر از خبرگان انتخاب شده‌اند. در بخش کیفی پژوهش شناسایی معیارها با روش تحلیل تم و از طریق مصاحبه با خبرگان انجام شده است. سپس از روش AHP برای محاسبه وزن معیارها استفاده شده است و در نهایت با استفاده از روش تصمیم‌گیری چند معیاره براساس راه‌حل توافقی MARCOS رتبه‌بندی و ارزیابی هفت تامین‌کننده عمده سنگ آهن با تاکید بر اصول پایداری و با کدنویسی در محیط نرم‌افزار MATLAB 2019a انجام شده است. براساس نتایج بدست آمده پانزده معیار در سه بخش اقتصادی، اجتماعی و زیست محیطی شناسایی شده است که پس از محاسبه وزن معیارها، کیفیت، تحویل به موقع، مسئولیت اجتماعی، قابلیت اطمینان، تعهد به قوانین، کنترل آلودگی و مسافت دارای اهمیت بالاتری بوده‌اند. لازم به ذکر است که معیارهای شناسایی شده در این پژوهش با منابع موجود مطابقت خوبی داشته است. همچنین نتایج بدست آمده از روش MARCOS با نتایج روش‌های تاپسیس، کوپراس، ویکور و SAW مطابقت داشته است.
چکیده انگلیسی:
Due to increasing environmental regulations and restrictions, and increasing social awareness, in order to meet sustainable development goals, government oversight of environmental and social issues in organizations has become stricter. Therefore the aim of this study is criteria identification and sustainable iron ore supplier ranking of Isfahan Steel Company using a new multi-criteria decision-making method, named MARCOS. This research is applicative which performed by qualitative- quantitative method. The statistical population of this study was the raw material purchasing experts, which ten experts were selected by purposive sampling. In the qualitative part, the criteria were identified by thematic analysis. Then, AHP method has been used to calculate the weight of criteria and finally, using MARCOS method, ranking and evaluation of seven major suppliers of iron ore with emphasis on sustainability principles has been done by MATLAB 2019a software. Based on the results, fifteen criteria have been identified in three sectors: economic, social and environmental, which after calculating the weight of the criteria, quality, delivery, and social responsibility, and reliability, adherence to laws, pollution control and distance were more important. It should be noted that the criteria identified in this study were in good agreement with available literatures. Also, the results obtained from MARCOS method were consistent with the results of TOPSIS, COPRAS, VIKOR and SAW methods.
منابع و مأخذ:
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Ghamari, R., Mahdavi-Mazdeh, M., & Ghannadpour, S.F. (2021). Resilient and sustainable supplier selection via a new framework: a case study from the steel industry. Environ Dev Sustain. https://doi.org/10.1007/s10668-021-01872-5.
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Kumar, A., Pal, A., Vohra, A., Gupta, S., Manchanda, S., & Dash, M. K. (2018). Construction of capital procurement decision making model to optimize supplier selection using Fuzzy Delphi and AHP-DEMATEL. Benchmarking: An International Journal, 25(5): 1528-1547.
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Soheilifar, S., & Fallah Lajimi, H. (2019). Assessment of appropriate criteria on the selection of raw material suppliers used in marine industries with a sustainability approach. Iranian Journal of Marine Science and Technology, 23 (90): 13-23. (In Persian).
Stević, Z., Pamučar, D., Puška, A., & Chatterjee, P. (2019). Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement Alternatives and Ranking according to COmpromise Solution (MARCOS), Computers & Industrial Engineering.
Tan, K., Lee, L., Zhu, Q., & Ou, K. (2001). Heuristic methods for vehicle routing problem with time windows, Artificial Intelligence in Engineering, 15(3): 281-295.
You, X. Y, You, J. X, Liu, H. C., & Zhen, L. (2015). Group multi-criteria supplier selection using an extended VIKOR method with interval 2-tuple linguistic information. Expert Systems with Applications, 42(4): 1906-1916.
Zhou, X., & Xu, Z. (2018). An Integrated Sustainable Supplier Selection Approach Based on Hybrid Information Aggregation. Sustainability, 10, 2543.
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Adabi Firoozjaei, M., & Safaei Ghadiklaei, A. (2017). Selecting the best resilient supply chain with the combined approach of dematel, gray vikor and the best-worst technique, case study: selected dairy companies - Mazandaran province, The first national conference on modern management studies in Iran, Karaj, Allameh Khoei Higher Education Institute and Meraj Higher Education Institute. (In Persian).
Aghajani, H., Samadi-Miarkolaei, H., Samadi, H., & Sohanian, M. (2018). Evaluation and Ranking Suppliers in Supply Chain Network with Using MCDM Fuzzy Trapezoidal System. Journal of Industrial Management, Faculty of Humanities, Islamic Azad University, Sanandaj Branch,13 (45): 49-64. (In Persian).
Alikhani R., Torabi, S.A., & Altay, N. (2018). Strategic supplier selection under sustainability and risk criteria. International Journal of Production Economics, DOI: 10.1016/j.ijpe.2018.11.018.
Amindoust, A. (2018a). Supplier selection considering sustainability measures: an application of weight restriction fuzzy-DEA approach. RAIRO Operations Research, 52: 981-1001.
Amindoust, A., (2018b), A resilient-sustainable based supplier selection model using a hybrid intelligent method, Computers & Industrial Engineering, 126: 122-135, https://doi.org/10.1016/j.cie.2018.09.031
Ardavan,, AlemTabriz, A., Rabie, M., & Zandieh, M. (2018). Sustainable Supplier Selection Based on Grey Theory: Case Study in Steel Industry. Journal of Industrial Engineering Research in Production Systems, 6 (13):165-177. (In Persian).
Azimifard, A., Moosavirad, H., & Ariafar, Sh. (2018). Selecting sustainable supplier countries for Iran's steel industry at three levels by using AHP and TOPSIS methods. Resources Policy, https://doi.org/10.1016/j.resourpol.2018.01.002.
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3:77-101. DOI: 10.1191/1478088706qp063oa.
Chaharsoghi, K., & Ashrafi, M., (2014). Integrating Sustainability into Supplier Selection and Order Quantity Allocation. Journal of Industrial Management Perspective, 3 (4):63-85. (In Persian).
Deng, X., Hu, Y., Deng, Y., & Mahadevan, S. (2014). Supplier selection using, AHP methodology extended by D numbers. Expert Syst Appl, 41(1):156–167.
Farhadi, F., Mohammadi, A., Mahmoudabadi, M., & Mahmoodi Mandani, M. (2020). Identification and Ranking of Resilience Supplier Selection Components in Chaharmahal and Bakhtiari Steel Industry Using (AHP-QUALIFLEX). Journal of Industrial Management, Faculty of Humanities, Islamic Azad University, Sanandaj Branch. 15 (53): 1-13. (In Persian).
Ghamari, R., Mahdavi-Mazdeh, M., & Ghannadpour, S.F. (2021). Resilient and sustainable supplier selection via a new framework: a case study from the steel industry. Environ Dev Sustain. https://doi.org/10.1007/s10668-021-01872-5.
Hashemi, A., & Ghasemi, Y. (2020). Doing a Research by Thematic Analysis: A Practical, Step-by-Step Guide for Learning and Teaching (Case Study: Music usage of M.A. Students at Ilam University). Ilam Culture, 20(64):7-33. (In Persian).
Jain, N., & Singh, A. R. (2019). Sustainable supplier selection criteria classification for Indian iron and steel industry: a fuzzy modified Kano model approach. International Journal of Sustainable Engineering, DOI: 10.1080/19397038.2019.1566413.
Jia, R., Liu, Y., & Bai, X. (2020). Sustainable supplier selection and order allocation: Distributionally robust goal programming model and tractable approximation. Computers & Industrial Engineering, 140, 106267.
Kannan, V.R., & Tan, K.C. (2005). Just in time, total quality management, and supply chain management: understanding their linkages and impact on business performance. Omega, 33(2): 153-162.
Khatami Firouz Abadi, S M A., Olfat, L., & Doulabi, S. (2015). Select suppliers on sustainable supply chain using fuzzy multi-criteria decision-making techniques (Case study: parts manufacturing industry). Journal of Decision Engineering, 1 (3):7-38. (In Persian).
Kumar, A., Pal, A., Vohra, A., Gupta, S., Manchanda, S., & Dash, M. K. (2018). Construction of capital procurement decision making model to optimize supplier selection using Fuzzy Delphi and AHP-DEMATEL. Benchmarking: An International Journal, 25(5): 1528-1547.
Kumar, S., Kumar, S., & Gopal Barman, A. (2018). Supplier selection using fuzzy TOPSIS multi criteria model for a small-scale steel manufacturing unit. Procedia Computer Science, 133: 905–912.
Oroojeni Mohammad Javad, M., Darvishi, M., & Oroojeni Mohammad Javad, A. (2020). Green supplier selection for the steel industry using BWM and fuzzy TOPSIS: A case study of Khouzestan steel company. Sustainable Futures, 2, 100012.
Safaei, A., Madhooshi, M., & Jamalian, A. (2020). Explanation of Affecting Factors in Sustainable Suppliers Selection in SAIPA Company. Iranian Journal of Supply Chain Management, 19(55):32-48. (In Persian).
Soheilifar, S., & Fallah Lajimi, H. (2019). Assessment of appropriate criteria on the selection of raw material suppliers used in marine industries with a sustainability approach. Iranian Journal of Marine Science and Technology, 23 (90): 13-23. (In Persian).
Stević, Z., Pamučar, D., Puška, A., & Chatterjee, P. (2019). Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement Alternatives and Ranking according to COmpromise Solution (MARCOS), Computers & Industrial Engineering.
Tan, K., Lee, L., Zhu, Q., & Ou, K. (2001). Heuristic methods for vehicle routing problem with time windows, Artificial Intelligence in Engineering, 15(3): 281-295.
You, X. Y, You, J. X, Liu, H. C., & Zhen, L. (2015). Group multi-criteria supplier selection using an extended VIKOR method with interval 2-tuple linguistic information. Expert Systems with Applications, 42(4): 1906-1916.
Zhou, X., & Xu, Z. (2018). An Integrated Sustainable Supplier Selection Approach Based on Hybrid Information Aggregation. Sustainability, 10, 2543.
