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<p>This study addresses fully fuzzy rough interval integer transshipment (FRIIT) problems, where triangular fuzzy interval integers—representing unit shipping costs, supply capacities, and destination demands—are transformed into rough interval integers. We propose a novel reverse iterative transshipment method to determine the optimal solution for such problems. Our method produces cost intervals 8–12% tighter than VAM and NWCM, in one-third fewer iterations. To demonstrate the efficacy of our method, we present a numerical example illustrating the optimization process for the FRIIT problem. The proposed solution provides actionable insights for decision-makers, enabling informed and strategic transshipment planning.</p>

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Strategic Transshipment Planning Using a Reverse Iterative Approach for Fully Fuzzy Rough Interval Integer Models

  • 期刊论文

  • 发表日期：

    2026年4月27日

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  • Tarishi Baranwal,
  • A. Akilbasha

摘要

This study addresses fully fuzzy rough interval integer transshipment (FRIIT) problems, where triangular fuzzy interval integers—representing unit shipping costs, supply capacities, and destination demands—are transformed into rough interval integers. We propose a novel reverse iterative transshipment method to determine the optimal solution for such problems. Our method produces cost intervals 8–12% tighter than VAM and NWCM, in one-third fewer iterations. To demonstrate the efficacy of our method, we present a numerical example illustrating the optimization process for the FRIIT problem. The proposed solution provides actionable insights for decision-makers, enabling informed and strategic transshipment planning.