A Novel Hybrid Conceptual MCDM Model to Assess and RankThe ‎Performance of Cold Storage Service Providers

  • Authors

    • Prof. Kavitha Reddy Gurrala Assistant Professor, Operations and Marketing, School of Business,‎ Woxsen University, Hyderabad, India
    • Dr. Saradhi Gonela Associate Professor, Marketing, School of Business,‎ Woxsen University, Hyderabad, Indi
    https://doi.org/10.14419/5brett70

    Received date: August 7, 2025

    Accepted date: August 18, 2025

    Published date: September 2, 2025

  • CCs; CSSPs; CCP; FANP; MAIRCA; MCDM

  • Abstract

    Cold Chains (CCs) furnish a regulated environment for the storage, transportation, and ‎distribution of temperature sensitive products. Cold Storage Service Providers (CSSPs) act as ‎intermediaries within the food processing value chain by preserving the quality of a wide ‎range of foods. Further, Cold Chain Performance (CCP) is crucial towards maintaining ‎quality, safety, and economic value of the foods. Consequently, several research studies ‎focused on formulating Multi-Criteria Decision-Making (MCDM) models to enhance CCP. ‎Nevertheless, the focus of such studies was on enhancing performance within specific ‎dimensions viz., sustainability, traceability, digitalization, or resilience etc. Accordingly, this ‎study aims at addressing the research gap, by formulating a novel hybrid conceptual MCDM ‎model integrating Fuzzy Analytical Network Process (FANP) and MultiAtributive Ideal-Real ‎Comparative Analysis (MAIRCA) to holistically assess and rank the performance of CSSPs ‎across multiple performance dimensions.

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    Gurrala , P. K. R. ., & Gonela , D. S. . (2025). A Novel Hybrid Conceptual MCDM Model to Assess and RankThe ‎Performance of Cold Storage Service Providers. International Journal of Accounting and Economics Studies, 12(5), 104-124. https://doi.org/10.14419/5brett70