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Resilient Supplier Selection Through Introducing a New Interval-Valued Intuitionistic Fuzzy Evaluation and Decision-Making Framework

  • Research Article - Systems Engineering
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Abstract

Adaptability to change is one of the essential requirements of the supply chain for organizations in a competitive environment. Development of resilience strategies is the key to achieving this goal. Another issue in supply chains is the necessity for a way of dealing with uncertainty. Therefore, fuzzy logic and numbers have been widely used to model the uncertainty in the problems. The purpose of this paper is to facilitate supply chain management by developing a new approach in resilient supplier selection problem. In this study, after gathering the judgment of decision makers (DMs) as linguistic variables and converting them to interval-valued intuitionistic fuzzy (IVIF) numbers, the weight of each criterion is determined based on an entropy index; then, the complex proportional assessment (COPRAS) method based on IVIF numbers is used for ranking the suppliers. Objective and subjective weights are calculated to determine weights of DMs. Finally, due to the advantages of the last aggregation approaches, weights of DMs and COPRAS scores are aggregated by the weighted aggregated sum product assessment method (WASPAS). Finally, the effectiveness of the proposed method is shown by using the method in two case studies from the literature.

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References

  1. Rajesh, R.; Ravi, V.: Supplier selection in resilient supply chains: a grey relational analysis approach. J. Clean. Prod. 86, 343–359 (2015)

    Article  Google Scholar 

  2. Gitinavard, H.; Foroozesh, N.; Mousavi, S.M.; Mohagheghi, V.: Soft computing based on a selection index method with risk preferences under uncertainty: applications to construction industry. Int. J. Comput. Syst. Eng. 4(4), 238–247 (2018)

    Article  Google Scholar 

  3. Vahdani, B.; Mousavi, S.M.; Tavakkoli-Moghaddam, R.; Hashemi, H.: A new enhanced support vector model based on general variable neighborhood search algorithm for supplier performance evaluation: a case study. Int. J. Comput. Intell. Syst. 10, 293–311 (2017)

    Article  Google Scholar 

  4. Foroozesh, N.; Gitinavard, H.; Mousavi, S.M.; Vahdani, B.: A hesitant fuzzy extension of VIKOR method for evaluation and selection problems under uncertainty. Int. J. Appl. Manag. Sci. 9(2), 95–113 (2017)

    Article  Google Scholar 

  5. Foroozesh, N.; Tavakkoli-Moghaddam, R.; Mousavi, S.M.: Sustainable-supplier selection for manufacturing services: a new failure mode and effects analysis model based on interval-valued fuzzy group decision-making. Int. J. Adv. Manuf. Technol. 95(9–12), 3609–3629 (2018)

    Article  Google Scholar 

  6. Ho, W.; Xu, X.; Dey, P.K.: Multi-criteria decision making approaches for supplier evaluation and selection: a literature review. Eur. J. Oper. Res. 202(1), 16–24 (2010)

    Article  MATH  Google Scholar 

  7. Christopher, M.; Peck, H.: Building the resilient supply chain. Int. J. Logist. Manag. 15(2), 1–14 (2004)

    Article  Google Scholar 

  8. Azadeh, A.; Abdollahi, M.; Farahani, M. H.; Soufi, H.R.: Green-resilient supplier selection: an integrated approach. In: International IEEE Conference, Istanbul. July 26 (Vol. 28) (2014)

  9. Tang, C.S.: Perspectives in supply chain risk management. Int. J. Prod. Econ. 103(2), 451–488 (2006)

    Article  Google Scholar 

  10. Hamel, G.; Valikangas, L.: The quest for resilience. Revista Icade. Revista de las Facultades de Derecho y Ciencias Económicas y Empresariales 62, 355–358 (2004)

    Google Scholar 

  11. Haldar, A.; Ray, A.; Banerjee, D.; Ghosh, S.: Resilient supplier selection under a fuzzy environment. Int. J. Manag. Sci. Eng. Manag. 9(2), 147–156 (2014)

    Google Scholar 

  12. Sahu, A.K.; Datta, S.; Mahapatra, S.S.: Evaluation and selection of resilient suppliers in fuzzy environment: exploration of fuzzy-VIKOR. Benchmark. Int. J. 23(3), 651–673 (2016)

    Article  Google Scholar 

  13. Haldar, A.; Ray, A.; Banerjee, D.; Ghosh, S.: A hybrid MCDM model for resilient supplier selection. Int. J. Manag. Sci. Eng. Manag. 7(4), 284–292 (2012)

    Google Scholar 

  14. Mohagheghi, V.; Mousavi, S.M.; Vahdani, B.: A new multi-objective optimization approach for sustainable project portfolio selection: a real world application under interval-valued fuzzy environment. Iranian J. Fuzzy Syst. 13(6), 41–68 (2016)

    MathSciNet  Google Scholar 

  15. Mohagheghi, V.; Mousavi, S.M.; Aghamohagheghi, M.; Vahdani, B.: A new approach of multi-criteria analysis for the evaluation and selection of sustainable transport investment projects under uncertainty: a case study. Int. J. Comput. Intell. Syst. 10, 605–626 (2017)

    Article  Google Scholar 

  16. Atanassov, K.; Gargov, G.: Interval-valued intuitionistic fuzzy sets. Fuzzy Sets Syst. 31, 343–349 (1989)

    Article  MathSciNet  MATH  Google Scholar 

  17. Atanassov, K.T.: Intuitionistic fuzzy sets. Fuzzy Sets Syst. 20(1), 87–96 (1986)

    Article  MathSciNet  MATH  Google Scholar 

  18. Chen, T.Y.: IVIF-PROMETHEE outranking methods for multiple criteria decision analysis based on interval-valued intuitionistic fuzzy sets. Fuzzy Optim. Decis. Mak. 14(2), 173–198 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  19. Li, D.F.: Extension principles for interval-valued intuitionistic fuzzy sets and algebraic operations. Fuzzy Optim. Decis. Mak. 10(1), 45–58 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  20. Zhao, H.; Xu, Z.; Yao, Z.: Interval-valued intuitionistic fuzzy derivative and differential operations. Int. J. Comput. Intell. Syst. 9(1), 36–56 (2016)

    Article  Google Scholar 

  21. Garg, H.: A new generalized improved score function of interval-valued intuitionistic fuzzy sets and applications in expert systems. Appl. Soft Comput. 38, 988–999 (2016)

    Article  Google Scholar 

  22. Zhang, X.; Xu, Z.: Soft computing based on maximizing consensus and fuzzy TOPSIS approach to interval-valued intuitionistic fuzzy group decision making. Appl. Soft Comput. 26, 42–56 (2015)

    Article  Google Scholar 

  23. Dorfeshan, Y.; Mousavi, S.M.: A new interval type-2 fuzzy decision method with an extended relative preference relation and entropy to project critical path selection. Int. J. Fuzzy Syst. Appl. 8(1), 19–47 (2019)

    Article  Google Scholar 

  24. Chou, Y.C.; Yen, H.Y.; Sun, C.C.: An integrate method for performance of women in science and technology based on entropy measure for objective weighting. Qual. Quant. 48(1), 157–172 (2014)

    Article  Google Scholar 

  25. Jin, F.; Pei, L.; Chen, H.; Zhou, L.: Interval-valued intuitionistic fuzzy continuous weighted entropy and its application to multi-criteria fuzzy group decision making. Knowl. Based Syst. 59, 132–141 (2014)

    Article  Google Scholar 

  26. Yager, R.R.: OWA aggregation over a continuous interval argument with applications to decision making. IEEE Trans. Syst. Man Cybern. Part B (Cybern.) 34(4), 1952–1963 (2004)

    Article  Google Scholar 

  27. Shemshadi, A.; Shirazi, H.; Toreihi, M.; Tarokh, M.J.: A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting. Expert Syst. Appl. 38(10), 12160–12167 (2011)

    Article  Google Scholar 

  28. Liu, W.; Li, L.: An approach to determining the integrated weights of decision makers based on interval number group decision matrices. Knowl. Based Syst. 90, 92–98 (2015)

    Article  Google Scholar 

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

    Article  MathSciNet  MATH  Google Scholar 

  30. Zavadskas, E.K.; Antucheviciene, J.; Hajiagha, S.H.R.; Hashemi, S.S.: Extension of weighted aggregated sum product assessment with interval-valued intuitionistic fuzzy numbers (WASPAS-IVIF). Appl. Soft Comput. 24, 1013–1021 (2014)

    Article  Google Scholar 

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Acknowledgements

The authors would like to thank anonymous referees for their valuable comments that have led to improvements.

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Authors and Affiliations

  1. Department of Industrial Engineering, Faculty of Engineering, Shahed University, Tehran, Iran

    Reza Davoudabadi, S. Meysam Mousavi & Vahid Mohagheghi

  2. Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran

    Behnam Vahdani

Authors
  1. Reza Davoudabadi
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  2. S. Meysam Mousavi
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  3. Vahid Mohagheghi
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  4. Behnam Vahdani
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Correspondence to S. Meysam Mousavi.

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Davoudabadi, R., Mousavi, S.M., Mohagheghi, V. et al. Resilient Supplier Selection Through Introducing a New Interval-Valued Intuitionistic Fuzzy Evaluation and Decision-Making Framework. Arab J Sci Eng 44, 7351–7360 (2019). https://doi.org/10.1007/s13369-019-03891-x

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  • DOI: https://doi.org/10.1007/s13369-019-03891-x

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