Evaluation and Selection of Sustainable Suppliers by Using a Mix of MCDM Techniques and Utilizing Taguchi Loss Function in Determination of Final Scores

Document Type : Research Paper

Authors

1 Master of Industrial Engineering, Department of Industrial Engineering, Faculty of Engineering, Alzahra University, Tehran, Iran

2 Associate Professor, Department of Industrial Engineering, Faculty of Engineering, Alzahra University, Tehran, Iran

Abstract

In today's competitive world, supply management plays a significant role in achieving an efficient supply chain. One of the most important goals of supply management is to select sustainable suppliers and determine the optimal order allocated to suppliers. The process of selecting a sustainable supply begins with the determination of the criteria which are effective on the decision. Considering that the importance of all these criteria is not the same for organizations, multi-criteria decision-making methods are used to determine the weights of these critera. In this paper, three methods of Fuzzy DEMATEL, combination of analytical network process method and fuzzy DEMATEL type 1 and combination of analytic network process method and Fuzzy DEMATEL type 2 are used to determine the weights of effective criteria. Also, to determine the scores of suppliers, the innovative combined approach of fuzzy Taguchi loss function and fuzzy method of similarity to the ideal solution is used. In the hybrid approach, first, experts give scores to suppliers for their performance in different political, economic, social conditions, and based on this, the fuzzy Taguchi loss function is calculated. Considering that the loss function has a negative charge, the Taguchi loss functions are inverted and used as the input of the fuzzy TOPSIS method. In this paper, the sensitivity of the mentioned multi-criteria decision-making methods in calculating the weights of the criteria is examined with different conditions. The scores of suppliers are calculated based on their performances in the worst, normal and best conditions.

Keywords

Main Subjects

References

  • Goker, N., M. Dursun, and Y.E. Albayrak.( 2020) Agile supplier evaluation using a fuzzy decision making procedure based on fuzzy measure and fuzzy integral. in Advances in Intelligent Systems and Computing..
  • Dursun, M., O.J.W.T.o.I.S. Ogunclu. (2021). Applications, Agile supplier evaluation using hierarchical TOPSIS method. 18: p. 12-19.
  • Barbosa-Póvoa, A.P., C. da Silva, and A. Carvalho.( 2018). Opportunities and challenges in sustainable supply chain: An operations research perspective. European Journal of Operational Research 268(2): p. 399-431.
  • Harland, C. M. J. B. E. D. o. O. M. U. B. (1996). Supply chain management, purchasing and supply management, logistics, vertical integration, materials management and supply chain dynamics.
  • Gören, H. G. J. J. o. C. P. (2018). A decision framework for sustainable supplier selection and order allocation with lost sales. 183, 1156-1169.
  • Bhutta, K. S., & Huq, F. J. S. C. M. a. i. j. (2002). Supplier selection problem: a comparison of the total cost of ownership and analytic hierarchy process approaches.
  • Amiri, M. and F.J.J.o.O.R.I.I.A.-L.A.U. Hadinejad. (2017). Evaluation and prioritization of suppliers adopting a combined approach of entropy, analytic hierarchy process, and revised Promethee (Case study: Youtab Company. 14(4): 1-20.
  • Aissaoui, N., et al.( 2007). Supplier selection and order lot sizing modeling: A review, 34(12): p. 3516-3540.
  • Jia, R., et al.( 2020) Sustainable supplier selection and order allocation: Distributionally robust goal programming model and tractable approximation.. 140: p.
  • Kahraman, C., U. Cebeci, and Z.J.L.i.m. Ulukan.( 2003). Multi‐criteria supplier selection using fuzzy AHP.
  • Cheng, C.-H. and Y.J.E.j.o.o.r. Lin.( 2002). Evaluating the best main battle tank using fuzzy decision theory with linguistic criteria evaluation. 142(1): p. 174-186.
  • Hugos, M.H.( 2018). Essentials of supply chain management: John Wiley & Sons.
  • Chopra, S. and P.J.P.M. Meindl.(2001). Supply chain management: strategy, planning, and operation .
  • Hemmati, M., S.H.R.J.J.o.A.I. Pasandideh, and H. Computing, A bi-objective supplier location, supplier selection and order allocation problem with green constraints: scenario-based approach. 2021. 12(8): p. 8205-8228.
  • Fahimnia, B., J. Sarkis, and H.J.I.J.o.P.E. Davarzani.( 2015) Green supply chain management: A review and bibliometric analysis. 162: p. 101-114.
  • Zhang, L.-J., et al. (2020). Green supplier evaluation and selections: a state-of-the-art literature review of models, methods, and applications.
  • Bastas, A. and K.J.J.o.c.p. Liyanage, Sustainable supply chain quality management: A systematic review. 2018. 181: p. 726-744.
  • Seuring, S. and M.J.J.o.c.p. Müller.( 2008). From a literature review to a conceptual framework for sustainable supply chain management. 16(15): p. 1699-1710.
  • Molamohamadi, Z., et al.( 2013). Supplier selection in a sustainable supply chain. 1(3).
  • Morelli, J.J.J.o.e.s.( 2011). Environmental sustainability: A definition for environmental professionals.. 1(1): 2.
  • Labianca, C., S. De Gisi, and M. Notarnicola. (2022). Chapter 11 - Multi-criteria decision-making, in Assessing Progress Towards Sustainability, C. Teodosiu, S. Fiore, and A. Hospido, Editors., Elsevier. p. 219-243.
  • Langemeyer, J., et ( 2016). Bridging the gap between ecosystem service assessments and land-use planning through Multi-Criteria Decision Analysis (MCDA). Environmental Science & Policy. 62: p. 45-56.
  • Uzun, B., et al.( 2021). Chapter 2 - Theoretical aspects of multi-criteria decision-making (MCDM) methods, in Applications of Multi-Criteria Decision-Making Theories in Healthcare and Biomedical Engineering, I. Ozsahin, D.U. Ozsahin, and B. Uzun, Editors., Academic Press. p. 3-40.
  • Hermansyah, M.J.J.( 2021). Implementation of Decision Support Systems In Cement Supplier Evaluation Using Fuzzy Analytical Hierarchy Process (F-AHP). 8(1): p. 28-39.
  • Liu, A., et al.( 2020). A supplier evaluation model based on customer demand in blockchain tracing anti-counterfeiting platform project management.. 5(3): p. 172-194.
  • Liou, J.J., et al.( 2019) Data-driven hybrid multiple attribute decision-making model for green supplier evaluation and performance improvement.. 241: p.
  • Wang, C.-N., C.-Y. Yang, and H.-C.J.M. Cheng,.( 2019).Fuzzy multi-criteria decision-making model for supplier evaluation and selection in a wind power plant project.. 7(5): p.
  • Guo, Z., et al.( 2017). Green supplier evaluation and selection in apparel manufacturing using a fuzzy multi-criteria decision-making approach.. 9(4): p.
  • خوئی، محمد امین، جمیلی، امین (1400)، مدیریت صنعتی دانشگاه آزاد سنندج، ارزیابی و انتخاب تأمین‌کنندگان پایدار در زنجیره‌تأمین با استفاده از روش ترکیبی Vikor–FuzzyQFD در شرکت‌های داروسازی (مطالعه موردی: شرکت داروسازی برکت)، 188-207.
  • معزز، هاشم، فتحی، محمد رضا و رمضانی کرمانی، داوود (1400). ارزیابی تأمین‌کنندگان تاب‌آور با استفاده از سیستم نسبی فازی و فرآیند تحلیل شبکه‌ای. فصلنامه علوم و تکنولوژی محیط زیست،212-201.
  • سپهری مهر، پرویز و نظری، فریبا (1399). ﺷﻨﺎﺳﺎﯾﯽ و وزن‌دﻫﯽ ﺷﺎﺧﺺﻫﺎی ارزﯾﺎﺑﯽ و اﻧﺘﺨﺎب ﺗﺄﻣﯿﻦ‌ﮐﻨﻨﺪﮔﺎن در اداره تدارکات پتروشیمی بندر امام ﺑﺮاﺳﺎس روﯾﮑﺮد ﺗﺼﻤﯿﻢ‌ﮔﯿﺮی ﭼﻨﺪﻣﻌﯿﺎره، 66-51.
  • همایون فر، مهدی، گودرزوند چگینی، مهرداد و دانشور، امیر (1397). الویت‌بندی تأمین‌کنندگان زنجیره‌تأمین سبز با استفاده از رویکرد ترکیبی MCDM فازی، 61-41.
  • عزیزی، حسین و جاهد، رسول (1398). مدل‌های تصمیم برای ارزیابی و انتخاب تأمین‌کنندگان در حضور داده‌های اصلی ‏و ترتیبی، محدودیت‌های وزنی و عوامل غیرقابل کنترل: یک رویکرد مبتنی‌بر ‏DEA‏ با مرز دوگانه. دانشگاه آزاد اسلامی واحد سنندج، 23-1.
  • فلاح لاجیمی، حمیدرضا وجعفری، زهرا (1398). ارزیابی تأمین‌کنندگان در شرایط عدم اطمینان با ترکیب روش‌های دمپستر شافر و تکنیک‌های تصمیم‌گیری چندمعیاره. پژوهشنامه ی مدیریت اجرایی علمی–پژوهشی، 150-115.
  • Dalalah, D., M. Hayajneh, and F.J.E.s.w.a. Batieha. (2011). A fuzzy multi-criteria decision making model for supplier selection. 38(7): p. 8384-8391.
  • Lin, C.-J. and W.-W.J.E.S.w.A. Wu. (2008). A causal analytical method for group decision-making under fuzzy environment. 34(1): p. 205-213.
  • Kaya, R., & Yet, B. J. E. S. w. A. (2019) .Building Bayesian networks based on DEMATEL for multiple criteria decision problems: A supplier selection case study. 134, 234-248
  • منظور، داوود، رجبی، سجاد، عندلیب، محمد وکدخدامرادی, وحید (1397). به‌کارگیری روش DANP در سنجش تعاملات بین بخشی و نظام اولویت‌های اقتصاد ایران. نشریه علمی (فصلنامه) پژوهش‌های اقتصاد صنعتی، 42-19.
  • Chang, B., C.-W. Chang, and C.-H.J.E.s.w.A. Wu.( 2011). Fuzzy DEMATEL method for developing supplier selection criteria. 38(3): p. 1850-1858.
  • Li, R.-J.J.C. and M.w. Applications.( 1999). Fuzzy method in group decision making. 38(1): p. 91-101.
  • Hsu, C.-H., et al.( 2012). The best vendor selection for conducting the recycled material based on a hybrid MCDM model combining DANP with VIKOR.. 66: p. 95-111.
  • Thomas, S.L.J.I.( 1999). Kobe Japan, Fundamental of the Analytic Network Process.
  • Zamani, A.A., et al., Alternative Water Resources Selection to Supply Drinking Water in Flood Disasters by Multicriteria Decision-Making Techniques (DANP and VIKOR). Journal of Environmental and Public Health, 2022. 2022: p.
  • Festervand, T.A., R.B. Kethley, and B.D.J.J.o.M.C.D.A. Waller. (2001) The marketing of industrial real estate: application of Taguchi loss functions.. 10(4): p. 219-228.
  • Taguchi, G., Introduction to quality engineering: designing quality into products and processes.
  • Pi, W.-N. and C.J.T.I.J.o.A.M.T. Low.( 2006). Supplier evaluation and selection via Taguchi loss functions and an AHP.. 27(5-6): p. 625-630.
  • Hwang, C.-L., et al.( 1993). A new approach for multiple objective decision making.. 20(8): p. 889-899.
  • Tirkolaee, E. B., Mardani, A., Dashtian, Z., Soltani, M., & Weber, G.-W. (2020). A novel hybrid method using fuzzy decision making and multi-objective programming for sustainable-reliable supplier selection in two-echelon supply chain design. Journal of Cleaner Production, 250, 119517. doi:https://doi.org/1016/j.jclepro.2019. 119517
  • پریزادی، طاهر، اسدی، صالح، مولائی قلیچی، محمد و شیخی، حجت (1391). بررسی و تحلیل قابلیت های مزایای نسبی توسعه منطقه‌ای در بنادر شمال ایران با استفاده از تلفیق تکنیک‌های TOPSIS و ELECTRE، برنامه‌ریزی منطقه‌ای، 29-15.
  • Aouadni, S. and A. Rebai. A hybrid method for solving supplier selection and order allocation problem. in 3rd International Conference on Control, Decision and Information Technologies, CoDIT 2016. 2016. Institute of Electrical and Electronics Engineers Inc.
  • Hwang, C.-L., Y.-J. Lai, and T.-Y. Liu.( 1993). A new approach for multiple objective decision making. Computers & Operations Research,. 20(8): p. 889-899.
  • Mohammed, A., et al.( 2018) An integrated methodology for a sustainable two-stage supplier selection and order allocation problem. Journal of Cleaner Production. 192: p. 99-114.
  • Ramesh, S., S. Kannan, and S.J.A.S.C. Baskar.( 2012). Application of modified NSGA-II algorithm to multi-objective reactive power planning. 12(2): 741-753.
  • Hemmati, M. and S.H.R. Pasandideh.( 2021). A bi-objective supplier location, supplier selection and order allocation problem with green constraints: scenario-based approach. Journal of Ambient Intelligence and Humanized Computing,. 12(8): p. 8205-8228.
  • Opricovic, S. and G.-H. Tzeng.( 2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research. 156(2): p. 445-455.
  • اردوان، علی، عالم تبریز، اکبر، ربیعه، مسعود، زندیه، مصطفی (1397). انتخاب تأمین‌کنندگان پایدار با رویکرد تئوری خاکستری: مورد مطالعه صنعت فولاد. نشریه پژوهش‌های مهندسی صنایع در سیستم‌های تولید، 13(6)، 165-177.
  • عیدی، علیرضا، فلاح، جمشید (1397). استفاده از یک روش ترکیبی جدید مبتنی‌بر DEMATEL فازی و TOPSIS گروهی فازی برای انتخاب تأمین‌کنندگان در شبکه لجستیک معکوس. نشریه پژوهش‌های مهندسی صنایع در سیستم‌های تولید، 13(6)، 217-231.
  • Luthra, S., et al., An integrated framework for sustainable supplier selection and evaluation in supply chains.( 2017). Journal of Cleaner Production,. 140: p. 1686-1698.
  • Nguyen, T.-L., et al.( 2022). A Novel Integrating Data Envelopment Analysis and Spherical Fuzzy MCDM Approach for Sustainable Supplier Selection in Steel Industry.. 10(11): p.
  • Ebrahim, Z., N.A. Ahmad, and M.R. Muhamad.(2014).Understanding responsiveness in manufacturing operations. in International Symposium on Research in Innovation and Sustainability.
  • Govindan, K., R. Khodaverdi, and A.J.J.o.C.p. Jafarian.( 2013). A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach. 47: p. 345-354.
  • Tirkolaee, E.B., et al.( 2020). A novel hybrid method using fuzzy decision making and multi-objective programming for sustainable-reliable supplier selection in two-echelon supply chain design. Journal of Cleaner Production,. 250: p.
  • Guarnieri, P., F.J.R. Trojan.( 2019). Conservation, and Recycling, Decision making on supplier selection based on social, ethical, and environmental criteria: A study in the textile industry.. 141: p. 347-361.62.
  • Alavi, B., et al.( 2021). A dynamic decision support system for sustainable supplier selection in circular economy.. 27: p. 905-920.
  • Vahidi, F., S.A. Torabi, and M.J.J.o.C.P. Ramezankhani.( 2018). Sustainable supplier selection and order allocation under operational and disruption risks.. 174: p. 1351-1365.
  • Memari, A. et al..( 2019) Sustainable supplier selection: A multi-criteria intuitionistic fuzzy TOPSIS method.. 50: p. 9-24.
  • Govindan, K., et al.( 2020). An integrated hybrid approach for circular supplier selection and closed loop supply chain network design under uncertainty.. 242: p.
  • Salimian, S., S.M. Mousavi, and J.J.S .( 2022) Antucheviciene, An Interval-Valued Intuitionistic Fuzzy Model Based on Extended VIKOR and MARCOS for Sustainable Supplier Selection in Organ Transplantation Networks for Healthcare Devices. 14(7): p.
  • Demiralay, E., T.J.C.L. Paksoy, and S. Chain.( 2022) Strategy Development for Supplier Selection Process with Smart and Sustainable Criteria in Fuzzy Environment: p.
  • Tong, L.Z., J. Wang, and Z.J.J.o.C.P. Pu. (2022).Sustainable supplier selection for SMEs based on an extended PROMETHEE Ⅱ. 330: p. 129830.
  • Kannan, D.( 2018). Role of multiple stakeholders and the critical success factor theory for the sustainable supplier selection process. International Journal of Production Economics,. 195: p. 391-418.
Journal of Industrial Engineering Research in Production Systems
Volume 10, Issue 21
January 0
Pages 151-169

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