Abstract
Chemical supply disruptions can compromise compliance with water treatment regulations and service continuity. This study proposes an integrated multi-criteria decision-making framework that combines the Best–Worst Method (BWM) and VIKOR to prioritize mitigation strategies for water treatment chemical supply chain disruptions. A case application at Shanghai’s Yangshupu Water Plant demonstrates the approach. BWM-based weighting shows that compliance/public health (0.26) and service continuity (0.18) dominate decision priorities (44% combined), followed by recoverability/flexibility (0.16) and supply vulnerability (0.14). Using these weights, VIKOR ranks mitigation alternatives and identifies a compromise set. Under baseline conditions (), dual sourcing and supplier prequalification achieve the best compromise performance (,), while safety stock and reorder redesign minimize worst-case regret ; the acceptable advantage condition is not satisfied (), leading to a compromise set. Sensitivity and scenario tests confirm that the shortlist is robust, with safety stock becoming top-ranked under prolonged logistics disruption and QA/QC strengthening rising under quality failures. The proposed framework provides transparent, defensible support for utility resilience planning.
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Tang, W., Zhou, W., Manansala, L. D., & Hasan, M. K. (2026). Water treatment chemical supply chain disruption risk assessment and mitigation strategy ranking using BWM–VIKOR. Scientific Reports, 16(1). https://doi.org/10.1038/s41598-026-45086-z
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