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Ranking the strategies to overcome the barriers of the maritime supply chain (MSC) of containerized freight under fuzzy environment

Author

Listed:
  • Vishal Kashav

    (University of Petroleum and Energy Studies (UPES))

  • Chandra Prakash Garg

    (Indian Institute of Management Rohtak)

  • Rupesh Kumar

    (University of Petroleum and Energy Studies (UPES))

Abstract

Owing to global competition, international trade, and cost-effectiveness the role of the maritime supply chain (MSC) in transporting containerized freight has been growing exponentially but the presence of the barriers in the MSC hindering the growth and development of the freight transport industry in India. To increase the efficiencies and productiveness of the MSC, flexible and robust strategies are required to overcome these barriers. This research unearths and evaluates the strategies to overcome the barriers of the MSC of containerized freight. This study propounded an integrated framework where FAHP (Fuzzy Analytical Hierarchy Process) is exercised to appraise the weights and ranks the barriers and Fuzzy TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) technique is engaged to derive the ranks of the strategies. The results of the study show that Identification and development of dedicated feeder and hub ports infrastructure, Competitive port charges and Modern cranes and equipment like Automated Guided Vehicles (AGVs), Global Positioning System (GPS), Automated Gate Systems (AGS), Radio Frequency Identification (RFID), Ship profile scanning system, etc. are the prominent strategies to overcome the issues of MSC and thus need immediate attention. This research propounds a precise, effective, and organized policy framework for stage-wise executing the strategies to boost the effectiveness and competence of the MSC.

Suggested Citation

  • Vishal Kashav & Chandra Prakash Garg & Rupesh Kumar, 2023. "Ranking the strategies to overcome the barriers of the maritime supply chain (MSC) of containerized freight under fuzzy environment," Annals of Operations Research, Springer, vol. 324(1), pages 1223-1268, May.
    • Handle: RePEc:spr:annopr:v:324:y:2023:i:1:d:10.1007_s10479-021-04371-y
    DOI: 10.1007/s10479-021-04371-y
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