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Evaluation and selection of third party logistics provider under sustainability perspectives: an interval valued fuzzy-rough approach

Author

Listed:
  • Jagannath Roy

    (National Institute of Technology Warangal)

  • Dragan Pamučar

    (University of Defence in Belgrade)

  • Samarjit Kar

    (National Institute of Technology Durgapur)

Abstract

In today’s world, industries are facing massive pressure to integrate sustainability issues for efficient and successful supply chain management (SCM). Hence, worldwide it has become critically important to make economic operational balance satisfying environment protection norms and social welfare perspectives. Consequently, the industries are investigating their SCM structures in association with a third party logistics (3PL) service provider adopting the triple bottom line framework for improving the overall supply chain performance. Therefore, selection of the right 3PL provider for the sustainable alliance is supremely important for broader perspective of greater business value. Thus, the main objective of this research work is the selection of most appropriate 3PL provider for a food manufacturing company (FMC) after systematic evaluation of six different feasible logistic providers serving over a decade in India. Selection of optimal alternative 3PL provider is very complex and challenging because of the qualitative description of service provider performances and the inherent uncertainty due to subjectivity. The concept of interval-valued fuzzy-rough number (IVFRN) offers perfect treatment of such uncertainty. In this paper, we develop a multi criteria decision making (MCDM) model combining the factor relationship (FARE) and multi-attributive border approximation area comparison (MABAC) models based on IVFRN. The proposed model is tested and validated on a case study where the optimal selection of 3PL providers is performed for an Indian FMC. Based on the results obtained in sensitivity analysis, it was shown that the proposed IVFRN based FARE-MABAC model produces stable/consistent solutions. Through the research presented in this paper, it is shown that the new hybrid MCDM method is a useful and reliable tool for rational decision-making.

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  • Jagannath Roy & Dragan Pamučar & Samarjit Kar, 2020. "Evaluation and selection of third party logistics provider under sustainability perspectives: an interval valued fuzzy-rough approach," Annals of Operations Research, Springer, vol. 293(2), pages 669-714, October.
    • Handle: RePEc:spr:annopr:v:293:y:2020:i:2:d:10.1007_s10479-019-03501-x
    DOI: 10.1007/s10479-019-03501-x
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    Cited by:

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    5. Mladen Krstić & Giulio Paolo Agnusdei & Snežana Tadić & Pier Paolo Miglietta, 2023. "Prioritization of e-traceability drivers in the agri-food supply chains," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 11(1), pages 1-26, December.
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    7. Simic, Vladimir & Gokasar, Ilgin & Deveci, Muhammet & Karakurt, Ahmet, 2022. "An integrated CRITIC and MABAC based type-2 neutrosophic model for public transportation pricing system selection," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    8. Ming-Fu Hsu & Chingho Chang & Jhih‐Hong Zeng, 2022. "Automated text mining process for corporate risk analysis and management," Risk Management, Palgrave Macmillan, vol. 24(4), pages 386-419, December.
    9. Faruk Görçün, Ömer. & Chatterjee, Prasenjit. & Stević, Željko. & Küçükönder, Hande., 2024. "An integrated model for road freight transport firm selection in third-party logistics using T-spherical Fuzzy sets," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 186(C).
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