Rice supply chain risk mitigation using Fuzzy-AHP: A case study at Bulog’s Warehouse in Malang

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Analysis using Fuzzy-AHP identifies supply and quality risks in the rice supply chain, suggesting mitigation strategies.

Supply risk ranks highest among rice processors and traders, driven by inconsistent raw material availability, and fluctuating harvest yields.
Quality risk for Kebonagung Bulog Warehouse stems from improper handling and prolonged storage, leading to reduced rice quality.
Data were acquired through purposive and snowball sampling methods, targeting rice processors, warehouses, and traders in Malang.
The study proposes partnerships and enhanced quality management practices to improve rice supply chain risk mitigation.

Ratutria et al. (2025) studied this question.

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