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An Integrated Fuzzy Carbon Management-Based Model for Suppliers’ Performance Evaluation and Selection in Green Supply Chain Management

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Abstract

Assessing suppliers based on green focused attributes is a critical issue recently implemented by industries due to increasing community knowledge about global warming and climate change. Carbon management is a new branch of green supplier selection which focuses on other aspects of environmental issues. This study integrates a new fuzzy modification of Analytical Hierarchy Process (AHP) known as Fuzzy Preference Programming (FPP) with Fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (FVIKOR) to assess suppliers’ performance with respect to carbon management criteria. Four dimensions and twelve criteria have been selected based on previous studies and experts’ opinions. Linguistic variables are employed to gather the experts’ opinions about the importance degree of the dimensions and corresponding attributes. Subsequently, the importance weights of each dimension and its corresponding criteria are computed by using FPP. The performance ratings of the suppliers based on the determined criteria are collected under a fuzzy environment using linguistic variables. Then, FVIKOR is applied to obtain the overall environmental performance with respect to carbon management attributes. Through a case study in a textile company, the performance scores of its suppliers were elicited in accordance with this procedure. Finally, validation and managerial implications show that the developed model is robust and applicable.

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References

  1. Fallahpour, A., Olugu, E.U., Musa, S.N., Khezrimotlagh, D., Wong, K.Y.: An integrated model for green supplier selection under fuzzy environment: application of data envelopment analysis and genetic programming approach. Neural Comput. Appl. 27(3), 707–725 (2016)

    Article  Google Scholar 

  2. Lo, H.-W., Liou, J.J., Wang, H.-S., Tsai, Y.-S.: An integrated model for solving problems in green supplier selection and order allocation. J. Clean. Prod. 190, 339–352 (2018)

    Article  Google Scholar 

  3. Hsu, C.-W., Kuo, T.-C., Chen, S.-H., Hu, A.H.: Using DEMATEL to develop a carbon management model of supplier selection in green supply chain management. J. Clean. Prod. 56, 164–172 (2013)

    Article  Google Scholar 

  4. Tidy, M., Wang, X., Hall, M.: The role of Supplier Relationship Management in reducing Greenhouse Gas emissions from food supply chains: supplier engagement in the UK supermarket sector. J. Clean. Prod. 112, 3294–3305 (2016)

    Article  Google Scholar 

  5. Kuo, R., Hsu, C., Chen, Y.: Integration of fuzzy ANP and fuzzy TOPSIS for evaluating carbon performance of suppliers. Int. J. Environ. Sci. Technol. 12(12), 3863–3876 (2015)

    Article  Google Scholar 

  6. Shaw, K., Shankar, R., Yadav, S.S., Thakur, L.S.: Supplier selection using fuzzy AHP and fuzzy multi-objective linear programming for developing low carbon supply chain. Expert Syst. Appl. 39(9), 8182–8192 (2012)

    Article  Google Scholar 

  7. https://stitchdiary.com/iran-textile-garment-industry/. Accessed 7 Feb 2019

  8. Fallahpour, A., Wong, K.Y., Olugu, E.U., Musa, S.N.: A predictive integrated genetic-based model for supplier evaluation and selection. Int. J. Fuzzy Syst. 19(4), 1041–1057 (2017)

    Article  MathSciNet  Google Scholar 

  9. Awasthi, A., Kannan, G.: Green supplier development program selection using NGT and VIKOR under fuzzy environment. Comput. Ind. Eng. 91, 100–108 (2016)

    Article  Google Scholar 

  10. Amindoust, A., Saghafinia, A.: Textile supplier selection in sustainable supply chain using a modular fuzzy inference system model. J. Text. Inst. 108(7), 1250–1258 (2017)

    Google Scholar 

  11. Yu, F., Yang, Y., Chang, D.: Carbon footprint based green supplier selection under dynamic environment. J. Clean. Prod. 170, 880–889 (2018)

    Article  Google Scholar 

  12. Wu, Q., Zhou, L., Chen, Y., Chen, H.: An integrated approach to green supplier selection based on the interval type-2 fuzzy best-worst and extended VIKOR methods. Information Sciences 502, 394–417 (2019)

    Article  Google Scholar 

  13. Khan, M.J., Kumam, P., Liu, P., Kumam, W., Ashraf, S.: A novel approach to generalized intuitionistic fuzzy soft sets and its application in decision support system. Mathematics 7(8), 742 (2019)

    Article  Google Scholar 

  14. Prakash, C., Barua, M.: Integration of AHP-TOPSIS method for prioritizing the solutions of reverse logistics adoption to overcome its barriers under fuzzy environment. J. Manuf. Syst. 37, 599–615 (2015)

    Article  Google Scholar 

  15. Deshmukh, S., Sunnapwar, V.: Fuzzy analytic hierarchy process (FAHP) for green supplier selection in Indian Industries. In: Proceedings of international conference on intelligent manufacturing and automation 2019, pp. 679–687. Springer, Berlin (2019)

  16. Mikhailov, L., Tsvetinov, P.: Evaluation of services using a fuzzy analytic hierarchy process. Appl. Soft Comput. 5(1), 23–33 (2004)

    Article  Google Scholar 

  17. Mikhailov, L.: Fuzzy analytical approach to partnership selection in formation of virtual enterprises. Omega 30(5), 393–401 (2002)

    Article  Google Scholar 

  18. Mikhailov, L.: A fuzzy programming method for deriving priorities in the analytic hierarchy process. J. Oper. Res. Soc. 51(3), 341–349 (2000)

    Article  Google Scholar 

  19. Mikhailov, L.: Group prioritization in the AHP by fuzzy preference programming method. Comput. Oper. Res. 31(2), 293–301 (2004)

    Article  Google Scholar 

  20. Rezaei, J., Ortt, R., Scholten, V.: An improved fuzzy preference programming to evaluate entrepreneurship orientation. Appl. Soft Comput. 13(5), 2749–2758 (2013)

    Article  Google Scholar 

  21. Mikhailov, L.: Deriving priorities from fuzzy pairwise comparison judgements. Fuzzy Sets Syst. 134(3), 365–385 (2003)

    Article  MathSciNet  Google Scholar 

  22. Bellman, R.E., Zadeh, L.A.: Decision-making in a fuzzy environment. Manag. Sci. 17(4), B-141–B-164 (1970)

    Article  MathSciNet  Google Scholar 

  23. Opricovic, S., Tzeng, G.H.: Multicriteria planning of post-earthquake sustainable reconstruction. Comput. Aided Civ. Inf. Eng. 17(3), 211–220 (2002)

    Article  Google Scholar 

  24. Chen, S.H., Hsieh, C.H.: Optimization of fuzzy simple inventory models. In: Fuzzy systems conference proceedings, fuzzy systems (FUZZ-IEEE), IEEE international conference 1999, pp. 240–244 (2019)

  25. Hsu, C.-W., Kuo, T.-C., Shyu, G.-S., Chen, P.-S.: Low carbon supplier selection in the hotel industry. Sustainability 6(5), 2658–2684 (2014)

    Article  Google Scholar 

  26. Fallahpour, A., Olugu, E.U., Musa, S.N., Wong, K.Y., Noori, S.: A decision support model for sustainable supplier selection in sustainable supply chain management. Comput. Ind. Eng. 105, 391–410 (2017)

    Article  Google Scholar 

  27. Prakash, C., Barua, M.: A combined MCDM approach for evaluation and selection of third-party reverse logistics partner for Indian electronics industry. Sustain. Prod. Consum. 7, 66–78 (2016)

    Article  Google Scholar 

  28. Luthra, S., Govindan, K., Kannan, D., Mangla, S.K., Garg, C.P.: An integrated framework for sustainable supplier selection and evaluation in supply chains. J. Clean. Prod. 140, 1686–1698 (2017)

    Article  Google Scholar 

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Authors and Affiliations

  1. School of Mechanical Engineering, Universiti Teknologi Malaysia, 81310, Skudai, Malaysia

    Alireza Fallahpour & Kuan Yew Wong

  2. UTM Centre for Low Carbon Transport in Cooperation with Imperial College London (LoCARtic), Universiti Teknologi Malaysia, 81310, Skudai, Malaysia

    Srithar Rajoo

  3. Muma College of Business, University of South Florida, Tampa, FL, 33813, Florida, United States

    Abbas Mardani

Authors
  1. Alireza Fallahpour
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  2. Kuan Yew Wong
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  3. Srithar Rajoo
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  4. Abbas Mardani
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Corresponding author

Correspondence to Kuan Yew Wong.

Appendices

Appendices

1.1 Appendix 1

See Table 7.

Table 7 (a, b, c, d and e) Data related to the pairwise comparison of the dimensions and criteria
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1.2 Appendix 2

See Table 8.

Table 8 The final decision matrix
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Fallahpour, A., Wong, K.Y., Rajoo, S. et al. An Integrated Fuzzy Carbon Management-Based Model for Suppliers’ Performance Evaluation and Selection in Green Supply Chain Management. Int. J. Fuzzy Syst. 22, 712–723 (2020). https://doi.org/10.1007/s40815-019-00759-y

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  • DOI: https://doi.org/10.1007/s40815-019-00759-y

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