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 (\: v=0. 5), dual sourcing and supplier prequalification achieve the best compromise performance (Q=0. 083, \: S=0. 563), while safety stock and reorder redesign minimize worst-case regret (R=0. 140) ; the acceptable advantage condition is not satisfied (0. 135<0. 167), leading to a compromise set \: \A1, A2\. 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.
Tang et al. (Tue,) studied this question.