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<p>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 (<InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(\:v=0.5\)</EquationSource> </InlineEquation>), dual sourcing and supplier prequalification achieve the best compromise performance (<InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(Q=0.083\)</EquationSource> </InlineEquation>, <InlineEquation ID="IEq3"> <EquationSource Format="TEX">\(\:S=0.563\)</EquationSource> </InlineEquation>), while safety stock and reorder redesign minimize worst-case regret <InlineEquation ID="IEq4"> <EquationSource Format="TEX">\((R=0.140)\)</EquationSource> </InlineEquation>; the acceptable advantage condition is not satisfied (<InlineEquation ID="IEq5"> <EquationSource Format="TEX">\(0.135&lt;0.167\)</EquationSource> </InlineEquation>), leading to a compromise set <InlineEquation ID="IEq6"> <EquationSource Format="TEX">\(\:\left\{A1,A2\right\}\)</EquationSource> </InlineEquation>. 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.</p>

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Water treatment chemical supply chain disruption risk assessment and mitigation strategy ranking using BWM–VIKOR

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年3月24日

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  • Wei Tang,
  • Wanyang Zhou,
  • Leo D. Manansala,
  • Mohammad Kamrul Hasan

摘要

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 \(\:\left\{A1,A2\right\}\) . 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.