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A hybrid approach based on BOCR and fuzzy MULTIMOORA for logistics service provider selection

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  • Anjali Awasthi
  • Tomas Baležentis

Abstract

Partner selection is critical to developing successful collaboration for gaining competitive advantage in the logistics industry. In this paper, we present a hybrid approach based on BOCR and MULTIMOORA for the logistics service provider selection. The proposed approach comprises three steps. In the first step, we identify the partner selection criteria using four categories namely benefits, costs, opportunities and risks (BOCR). The second step involves generating linguistic ratings for potential partners on the identified criteria by a committee of decision-making experts. In the third and the last step, final partner selection is done using fuzzy MULTIMOORA. Linguistic information (fuzzy numbers) is used to address the lack of quantitative data. A numerical application is provided. Monte Carlo simulationbased sensitivity analysis is conducted to determine the robustness of MULTIMOORA to variation in criterion and decision maker weights. The strength of our work is the ability to perform logistics partner selection under limited or lack of quantitative data. Besides, BOCR technique allows evaluation of logistics partners from multiple perspectives namely benefits, costs, opportunities and risks. The use of MULTIMOORA technique permits the generation of robust alternative rankings due to incorporation of three inbuilt evaluation functions.

Suggested Citation

  • Anjali Awasthi & Tomas Baležentis, 2017. "A hybrid approach based on BOCR and fuzzy MULTIMOORA for logistics service provider selection," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 27(3), pages 261-282.
    • Handle: RePEc:ids:ijlsma:v:27:y:2017:i:3:p:261-282
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    Citations

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    Cited by:

    1. Zunhao Luo & Zexin Li, 2019. "A MAGDM Method Based on Possibility Distribution Hesitant Fuzzy Linguistic Term Set and Its Application," Mathematics, MDPI, vol. 7(11), pages 1-32, November.
    2. K. Koppiahraj & S. Bathrinath & V. G. Venkatesh & Venkatesh Mani & Yangyan Shi, 2023. "Optimal sustainability assessment method selection: a practitioner perspective," Annals of Operations Research, Springer, vol. 324(1), pages 629-662, May.
    3. Abteen Ijadi Maghsoodi & Gelayol Abouhamzeh & Mohammad Khalilzadeh & Edmundas Kazimieras Zavadskas, 2018. "Ranking and selecting the best performance appraisal method using the MULTIMOORA approach integrated Shannon’s entropy," Frontiers of Business Research in China, Springer, vol. 12(1), pages 1-21, December.
    4. Kalyana C. Chejarla & Omkarprasad S. Vaidya, 2024. "A hybrid multi-criteria decision-making approach for longitudinal data," OPSEARCH, Springer;Operational Research Society of India, vol. 61(3), pages 1013-1060, September.

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