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<p>This study aims to evaluate the performance indicators of Resilience-Sustainable Supply Chain Management (RSSCM) in Small and Medium-sized Enterprises (SMEs) by developing a novel hybrid decision-support framework. The methodology integrates an artificial intelligence (AI)-driven Genetic Algorithm (GA) with the CRITIC method for objective weighting, followed by Interpretive Structural Modeling (ISM) and MICMAC analysis for structural mapping. The findings reveal that economic indicators like operational cost and profit are the highest-weighted performance outcomes. However, the structural analysis identifies information systems, fair wages, and employee competence as the foundational drivers with the strongest influence on the entire system. A critical insight is the stark contrast between the composite importance of an indicator and its role as a strategic driver. The framework demonstrates that resilience and sustainability are synergistic outcomes emerging from a hierarchical capability-building process. The study’s primary contribution is providing a hybrid model that resolves the managerial dilemma of prioritizing outcomes over drivers, offering SMEs a strategic blueprint for building a resilient and sustainable supply chain.</p>

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Evaluation of Resilience-Sustainable Supply Chain Management (RSSCM) Performance Indicators in SMEs: An AI-Driven-CRITIC-ISM-MICMAC Hybrid Framework

  • 期刊论文

  • 发表日期：

    2026年3月20日

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  • Rangga Primadasa,
  • Elisa Kusrini,
  • Agus Mansur,
  • Ilyas Masudin

摘要

This study aims to evaluate the performance indicators of Resilience-Sustainable Supply Chain Management (RSSCM) in Small and Medium-sized Enterprises (SMEs) by developing a novel hybrid decision-support framework. The methodology integrates an artificial intelligence (AI)-driven Genetic Algorithm (GA) with the CRITIC method for objective weighting, followed by Interpretive Structural Modeling (ISM) and MICMAC analysis for structural mapping. The findings reveal that economic indicators like operational cost and profit are the highest-weighted performance outcomes. However, the structural analysis identifies information systems, fair wages, and employee competence as the foundational drivers with the strongest influence on the entire system. A critical insight is the stark contrast between the composite importance of an indicator and its role as a strategic driver. The framework demonstrates that resilience and sustainability are synergistic outcomes emerging from a hierarchical capability-building process. The study’s primary contribution is providing a hybrid model that resolves the managerial dilemma of prioritizing outcomes over drivers, offering SMEs a strategic blueprint for building a resilient and sustainable supply chain.