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A Group Evaluation Method for Supplier Selection Based on GSCM Practices in an Indian Manufacturing Company

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Recent Advances in Intelligent Information Systems and Applied Mathematics (ICITAM 2019)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 863))

Abstract

Due to ever increasing consciousness and considerable environmental pressures from various parties, companies have begun to understand the significance of including green practices into their daily activities. As the green issues are novel, evolving continuously and hence it requires a regular study and constant monitoring in this area to understand the problems properly. In this paper we propose a framework using interval type-2 (IT2) fuzzy Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method for evaluating suppliers in an uncertain environment. The proposed model is developed considering various green supply chain management (GSCM) factors. The trapezoidal IT2 fuzzy numbers are used in this study to handle the imprecision involved in the decision process. The proposed model is then demonstrated with a case study in an Indian manufacturing organization for selection of suitable green suppliers. Sensitivity analysis of the results is carried out to observe the influence of the preferences given by the decision makers.

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References

  1. Chen, C.T., Lin, C.T., Huang, S.F.: A fuzzy approach for supplier evaluation and selection in supply chain management. Int. J. Prod. Econ. 102(2), 289–301 (2006)

    Article  Google Scholar 

  2. Chen, S.M., Lee, L.W.: Fuzzy multiple attributes group decision-making based on the interval type-2 TOPSIS method. Expert Syst. Appl. 37(4), 2790–2798 (2010)

    Article  Google Scholar 

  3. Chen, T.Y.: A linear assignment method for multiple-criteria decision analysis with interval type-2 fuzzy sets. Appl. Soft Comput. 13, 2735–2748 (2013)

    Article  Google Scholar 

  4. Govindan, K., Kannan, D., Shankar, M.: Evaluation of green manufacturing practices using a hybrid MCDM model combining DANP with PROMETHEE. Int. J. Prod. Res. 53(21), 1–28 (2014b)

    Google Scholar 

  5. Gul, M., Celik, E., Aydin, N., Gumus, A.T., Guneri, A.F.: A state of the art literature review of VIKOR and its fuzzy extensions on applications. Appl. Soft Comput. 46(C), 60–89 (2016)

    Google Scholar 

  6. Humphreys, P., McCloskey, A., McIvor, R., Maguire, L., Glackin, C.: Employing dynamic fuzzy membership functions to assess environmental performance in the supplier selection process. Int. J. Prod. Res. 44(12), 2379–2419 (2006)

    Article  Google Scholar 

  7. Johansson, G.: Success factors for integration of ecodesign in product development: a review of state of the art. Environ. Manag. Health. 13(1), 98–107 (2002)

    Article  Google Scholar 

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

    Google Scholar 

  9. Kahraman, C., Oztaysi, B., Sari, I.U., Turanoglu, E.: Fuzzy analytic hierarchy process with interval type-2 fuzzy sets. Knowl.-Based Syst. 59, 48–57 (2014)

    Article  Google Scholar 

  10. Karnik, N.N., Mendel, J.M.: Operations on type-2 fuzzy sets. Fuzzy Sets Syst. 122(2), 327–348 (2001)

    Article  MathSciNet  Google Scholar 

  11. Lee, A.H.I., Kang, H.Y., Hsu, C.F., Hung, H.C.: A green supplier selection model for high-tech industry. Expert Syst. Appl. 36(4), 7917–7927 (2009)

    Article  Google Scholar 

  12. Lin, R.J., Chen, R.H., Nguyen, T.H.: Green supply chain management performance in automobile manufacturing industry under uncertainty. Procedia Soc. Behav. Sci. 25(1), 233–245 (2011)

    Article  Google Scholar 

  13. Lin, R.J.: Using fuzzy DEMATEL to evaluate the green supply chain management practices. J. Cleaner Prod. 40, 32–39 (2013)

    Article  Google Scholar 

  14. Mendel, J.M., John, R.I., Liu, F.L.: Interval type-2 fuzzy logical systems made simple. IEEE Trans. Fuzzy Syst. 14(6), 808–821 (2006)

    Article  Google Scholar 

  15. Mendel, J.M.: Advances in type-2 fuzzy sets and systems. Inf. Sci. 177(1), 84–110 (2007)

    Article  MathSciNet  Google Scholar 

  16. Mollenkopf, D.A., Closs, D.J.: The hidden value in reverse logistics. Supply Chain Manag. Rev. 9(5), 34–43 (2005)

    Google Scholar 

  17. Opricovic, S.: Multi Criteria Optimization of Civil Engineering Systems, Faculty of Civil Engineering, University of Belgrade (1998). ISBN 86 -80049-82-4. (in Serbian)

    Google Scholar 

  18. Rao, P., Holt, D.: Do green supply chains lead to competitiveness and economic performance? Int. J. Oper. Prod. Manag. 25(9), 898–916 (2005)

    Article  Google Scholar 

  19. Salimifard, K., Shahbandarzadeh, H., Raeesi, R.: Green transportation and the role of operation research. In: 2012 International Conference on Traffic and Transportation Engineering (ICTTE 2012), vol. 26. IACSIT Press, Singapore (2012)

    Google Scholar 

  20. Sarkis, J., Zhu, Q.: An inter-sectoral comparison of green supply chain management in China: drivers and practices. J. Cleaner Prod. 14(1), 472–486 (2006)

    Google Scholar 

  21. Sarkis, J., Zhu, Q., Lai, K.: An organizational theoretic review of Green supply chain management literature. Int. J. Prod. Econ. 130(3), 1–15 (2011)

    Article  Google Scholar 

  22. Srivastava, S.K.: Green supply- chain management: a state-of-the-art literature review. Int. J. Manag. Rev. 9(1), 53–80 (2007)

    Article  Google Scholar 

  23. Vachon, S., Klassen, R.D.: Environmental management and manufacturing performance: the role of collaboration in the supply chain. Int. J. Prod. Econ. 111(2), 299–315 (2008)

    Article  Google Scholar 

  24. Vijayvargy, L., Agarwal, G.: A comparative study of green supply chain management practices in Indian: Japanese and Chinese companies. IUP J. Supply Chain Manage. 10(3), 7–18 (2013)

    Google Scholar 

  25. Xia, W., Wu, Z.: Supplier selection with multiple criteria in volume discount environments. Omega 35(5), 494–504 (2007)

    Article  Google Scholar 

  26. Zadeh, L.A.: Fuzzy sets. Inf. Control 8(3), 338–353 (1965)

    Article  Google Scholar 

  27. Zadeh, L.A.: The concept of a linguistic variable and its application to approximate reasoning - 1. Inf. Sci. 8(3), 199–249 (1975)

    Article  MathSciNet  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Haldia Institute of Technology, Haldia, 721657, West Bengal, India

    Ashoke Kumar Bera

  2. Department of Engineering Science, Haldia Institute of Technology, Haldia, 721657, West Bengal, India

    Dipak Kumar Jana

  3. Department of Production Engineering, Jadavpur University, Kolkata, 700032, West Bengal, India

    Debamalya Banerjee

  4. Department of Mechanical Engineering, Jadavpur University, Kolkata, 700032, West Bengal, India

    Titas Nandy

Authors
  1. Ashoke Kumar Bera
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  2. Dipak Kumar Jana
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  3. Debamalya Banerjee
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  4. Titas Nandy
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Corresponding author

Correspondence to Ashoke Kumar Bera .

Editor information

Editors and Affiliations

  1. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Mexico

    Oscar Castillo

  2. Haldia Institute of Technology, Haldia, West Bengal, India

    Dipak Kumar Jana

  3. Maulana Abul Kalam Azad University of Technology, Haringhata, India

    Debasis Giri

  4. Haldia Institute of Technology, Haldia, India

    Arif Ahmed

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Bera, A.K., Jana, D.K., Banerjee, D., Nandy, T. (2020). A Group Evaluation Method for Supplier Selection Based on GSCM Practices in an Indian Manufacturing Company. In: Castillo, O., Jana, D., Giri, D., Ahmed, A. (eds) Recent Advances in Intelligent Information Systems and Applied Mathematics. ICITAM 2019. Studies in Computational Intelligence, vol 863. Springer, Cham. https://doi.org/10.1007/978-3-030-34152-7_9

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