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Green supplier selection by developing a new group decision-making method under type 2 fuzzy uncertainty

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Abstract

One of the most important issues in green supply chain management is supplier selection. This issue has proven to be one of the most important decision-making processes for production, operations, and purchasing managers. This problem has to be dealt with in both industry and service environments and is essential to help the firms keep their competitive edge over their rivals. However, this vital process has imprecision and ambiguity. It enhances the difficulty of this important decision-making task. Dealing with uncertainty requires appropriate tools and techniques. In this paper, a new method of supplier selection is presented that uses interval type 2 fuzzy sets (IT2FSs) to deal with today’s uncertain environment. To show the importance and the level of knowledge of each decision-maker in the process, the model applies a novel approach that gives the decision-makers a new weight based on their level of knowledge and the gathered judgments. Moreover, the concept of relative preference relation of IT2FSs is developed to address the weight of selection criteria. Eventually, the proposed uncertain supplier selection model develops the concept of multi-objective optimization by ratio analysis plus the full multiplicative form under type 2 fuzzy uncertainty to enhance the capability of the proposed model to function under real-world problems. Finally, to illustrate the capabilities of the introduced approach, first, two existing case studies at the manufacturing system level are taken from the literature and are solved. Then, to present the method in a step-by-step approach, a case study is adopted and solved by the proposed model and the results are presented.

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References

  1. Chen CT, Huang SF (2006) Order-fulfillment ability analysis in the supply-chain system with fuzzy operation times. Int J Prod Econ 101(1):185–193

    Article  Google Scholar 

  2. Dahel NE (2003) Vendor selection and order quantity allocation in volume discount environments. Supply Chain Manag: An Int J 8(4):335–342

    Article  Google Scholar 

  3. Millington A, Eberhardt M, Wilkinson B (2006) Supplier performance and selection in China. Int J Oper Prod Manag 26(2):185–201

    Article  Google Scholar 

  4. Ware NR, Singh SP, Banwet DK (2014) A mixed-integer non-linear program to model dynamic supplier selection problem. Expert Syst Appl 41(2):671–678

    Article  Google Scholar 

  5. Kannan D, Khodaverdi R, Olfat L, Jafarian A, Diabat A (2013) Integrated fuzzy multi criteria decision making method and multi-objective programming approach for supplier selection and order allocation in a green supply chain. J Clean Prod 47:355–367

    Article  Google Scholar 

  6. Rao P (2002) Greening the supply chain: a new initiative in South East Asia. Int J Oper Prod Man 22(6):632–655

  7. Büyüközkan G, Çifçi G (2012a) A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers. Expert Syst Appl 39(3):3000–3011

    Article  Google Scholar 

  8. Büyüközkan G, Çifçi G (2012b) Evaluation of the green supply chain management practices: a fuzzy ANP approach. Prod Plan Control 23(6):405–418

    Article  Google Scholar 

  9. 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

    Article  Google Scholar 

  10. Fallahpour A, Olugu EU, Musa SN, Khezrimotlagh D, Wong KY (2016) An integrated model for green supplier selection under fuzzy environment: application of data envelopment analysis and genetic programming approach. Neural Comput & Applic 27(3):707–725

    Article  Google Scholar 

  11. Herva M, Roca E (2013) Ranking municipal solid waste treatment alternatives based on ecological footprint and multi-criteria analysis. Ecol Indic 25:77–84

    Article  Google Scholar 

  12. Lee AH, Kang HY, Hsu CF, Hung HC (2009) A green supplier selection model for high-tech industry. Expert Syst Appl 36(4):7917–7927

    Article  Google Scholar 

  13. Büyüközkan G (2012) An integrated fuzzy multi-criteria group decision-making approach for green supplier evaluation. Int J Prod Res 50(11):2892–2909

    Article  Google Scholar 

  14. Hsu CW, Hu AH (2009) Applying hazardous substance management to supplier selection using analytic network process. J Clean Prod 17(2):255–264

    Article  Google Scholar 

  15. Grisi RM, Guerra L, Naviglio G (2010) Supplier performance evaluation for green supply chain management, In Business performance measurement and management (pp. 149–163). Springer, Berlin Heidelberg

    Book  Google Scholar 

  16. Chen CC, Tseng ML, Lin YH, Lin ZS (2010) Implementation of green supply chain management in uncertainty. In Industrial Engineering and Engineering Management (IEEM), 2010 I.E. International Conference on (pp. 260–264). IEEE

  17. Bakeshlou EA, Khamseh AA, Asl MAG, Sadeghi J, Abbaszadeh M (2017) Evaluating a green supplier selection problem using a hybrid MODM algorithm. J Intell Manuf 28(4):913–927

    Article  Google Scholar 

  18. Kannan D, Govindan K, Rajendran S (2015) Fuzzy axiomatic design approach based green supplier selection: a case study from Singapore. J Clean Prod 96:194–208

    Article  Google Scholar 

  19. Freeman J, Chen T (2015) Green supplier selection using an AHP-Entropy-TOPSIS framework. Supply Chain Management: An International Journal 20(3):327–340

  20. Bezdek JC (2013) Pattern recognition with fuzzy objective function algorithms. Springer Science & Business Media

    MATH  Google Scholar 

  21. Celikyilmaz A, Turksen IB (2009) Modeling uncertainty with fuzzy logic. Studies in fuzziness and soft computing 240:149–215

    Article  MATH  Google Scholar 

  22. Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning—I. Inf Sci 8(3):199–249

    Article  MathSciNet  MATH  Google Scholar 

  23. Maity S, Sil J (2009) Color image segmentation using type-2 fuzzy sets. Int J Comput Electr Eng 1(3):376

    Article  Google Scholar 

  24. Mendel JM (2003) Type-2 fuzzy sets: some questions and answers. IEEE Connections, Newsletter of the IEEE Neural Networks Society 1:10–13

    Google Scholar 

  25. Gong Y (2013) Fuzzy multi-attribute group decision making method based on interval type-2 fuzzy sets and applications to global supplier selection. Int J Fuzzy Syst 15(4):392–400

    MathSciNet  Google Scholar 

  26. Heidarzade A, Mahdavi I, Mahdavi-Amiri N (2016) Supplier selection using a clustering method based on a new distance for interval type-2 fuzzy sets: a case study. Appl Soft Comput 38:213–231

    Article  MATH  Google Scholar 

  27. Zhou X, Pedrycz W, Kuang Y, Zhang Z (2016) Type-2 fuzzy multi-objective DEA model: an application to sustainable supplier evaluation. Appl Soft Comput 46:424–440

    Article  Google Scholar 

  28. Ghorabaee MK, Zavadskas EK, Amiri M, Esmaeili A (2016) Multi-criteria evaluation of green suppliers using an extended WASPAS method with interval type-2 fuzzy sets. J Clean Prod 137:213–229

    Article  Google Scholar 

  29. Mendel JM (2007) Type-2 fuzzy sets and systems: an overview. Comput Intell Mag, IEEE 2(1):20–29

    Article  Google Scholar 

  30. Kiliç M, Kaya İ (2015) Investment project evaluation by a decision making methodology based on type-2 fuzzy sets. Appl Soft Comput 27:399–410

  31. Mendel JM, John RI, Liu F (2006) Interval type-2 fuzzy logic systems made simple. IEEE Trans Fuzzy Syst 14(6):808–821

    Article  Google Scholar 

  32. Chiao KP (2011) Multiple criteria group decision making with triangular interval type-2 fuzzy sets. In Fuzzy Systems (FUZZ), 2011 I.E. International Conference on (pp. 2575–2582). IEEE

  33. Sari IU, Kahraman C (2015) Interval type-2 fuzzy capital budgeting. Int J Fuzzy Syst 17(4):635–646

    Article  MathSciNet  Google Scholar 

  34. Hu J, Zhang Y, Chen X, Liu Y (2013) Multi-criteria decision making method based on possibility degree of interval type-2 fuzzy number. Knowl-Based Syst 43:21–29

    Article  Google Scholar 

  35. Celik E, Gumus AT, Alegoz M (2014) A trapezoidal type-2 fuzzy MCDM method to identify and evaluate critical success factors for humanitarian relief logistics management. J Intell Fuzzy Syst 27(6):2847–2855

    Google Scholar 

  36. Yue Z (2011) A method for group decision-making based on determining weights of decision makers using TOPSIS. Appl Math Model 35(4):1926–1936

    Article  MathSciNet  MATH  Google Scholar 

  37. Yue Z (2013) An avoiding information loss approach to group decision making. Appl Math Model 37(1):112–126

    Article  MathSciNet  MATH  Google Scholar 

  38. Brauers WKM, Zavadskas EK (2011) MULTIMOORA optimization used to decide on a bank loan to buy property. Technol Econ Dev Econ 1:174–188

    Article  Google Scholar 

  39. Guneri AF, Kuzu A (2009) Supplier selection by using a fuzzy approach in just-in-time: a case study. Int J Comput Integr Manuf 22(8):774–783

    Article  Google Scholar 

  40. Banaeian N, Mobli H, Fahimnia B, Nielsen IE, Omid M (2016) Green supplier selection using fuzzy group decision making methods: a case study from the agri-food industry. Comput Oper Res

    Google Scholar 

  41. Nielsen IE, Banaeian N, Golińska P, Mobli H, Omid M (2014) Green supplier selection criteria: from a literature review to a flexible framework for determination of suitable criteria. In Logistics operations, supply chain management and sustainability (pp. 79–99). Springer International Publishing

  42. Ghorabaee MK (2016) Developing an MCDM method for robot selection with interval type-2 fuzzy sets. Robot Comput Integr Manuf 37:221–232

    Article  Google Scholar 

  43. Ghorabaee MK, Amiri M, Sadaghiani JS, Goodarzi GH (2014) Multiple criteria group decision-making for supplier selection based on COPRAS method with interval type-2 fuzzy sets. Int J Adv Manuf Technol 75(5-8):1115–1130

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Authors and Affiliations

  1. Industrial Engineering and Management Systems Department, Amirkabir University of Technology, Tehran, Iran

    Hamed Mohammadi, Farzad Vasheghani Farahani, Mohammad Noroozi & Ali Lashgari

Authors
  1. Hamed Mohammadi
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  2. Farzad Vasheghani Farahani
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  3. Mohammad Noroozi
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  4. Ali Lashgari
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Correspondence to Farzad Vasheghani Farahani.

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Mohammadi, H., Farahani, F.V., Noroozi, M. et al. Green supplier selection by developing a new group decision-making method under type 2 fuzzy uncertainty. Int J Adv Manuf Technol 93, 1443–1462 (2017). https://doi.org/10.1007/s00170-017-0458-z

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  • DOI: https://doi.org/10.1007/s00170-017-0458-z

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