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<p>This study evaluates sustainable logistics for Liquefied Petroleum Gas (LPG) using a hybrid Fuzzy Grey-Number ELECTRE-ISM-MICMAC approach. Fuzzy logic and grey system theory were integrated to manage uncertainty in qualitative assessments, while ELECTRE supported multi-criteria decision-making. ISM and MICMAC analyses were employed to map the interrelationships and driving-dependence power among indicators. The study identified 14 key sustainability indicators, categorized into economic, environmental, and social dimensions. Based on the ELECTRE ranking results, the top three indicators were Energy Used (S6), Safety Transportation (S12), and Green Safety Product Design (S9), which scored 11, 9, and 9 points, respectively. In contrast, Distribution Cost (S1) and Warehouse Cost (S3<b>)</b> were among the lowest-ranked, indicating lesser priority in sustainability optimization. The decision-making process included normalization and defuzzification to ensure consistency across criteria, and the concordance and discordance matrices were used to eliminate inferior alternatives. The ISM model revealed hierarchical levels of influence, while the MICMAC analysis showed that most indicators had high dependence but low driving power. These findings provide actionable insights for logistics managers to prioritize high-impact areas like energy efficiency and transportation safety and guide policymakers in developing targeted incentives to support sustainable LPG logistics, particularly in the Indonesian context.</p>

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Enhancing of sustainable logistics for liquefied petroleum gas: an integrated fuzzy Grey-Number ELECTRE-ISM-MICMAC framework

  • 期刊论文

  • 发表日期：

    2025年8月29日

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  • Muhammad Rizqy Abdurrahman Assyifa,
  • Rangga Primadasa,
  • Elisa Kusrini,
  • Agus Mansur,
  • Muhammad Ridwan Andi Purnomo,
  • Ilyas Masudin

摘要

This study evaluates sustainable logistics for Liquefied Petroleum Gas (LPG) using a hybrid Fuzzy Grey-Number ELECTRE-ISM-MICMAC approach. Fuzzy logic and grey system theory were integrated to manage uncertainty in qualitative assessments, while ELECTRE supported multi-criteria decision-making. ISM and MICMAC analyses were employed to map the interrelationships and driving-dependence power among indicators. The study identified 14 key sustainability indicators, categorized into economic, environmental, and social dimensions. Based on the ELECTRE ranking results, the top three indicators were Energy Used (S6), Safety Transportation (S12), and Green Safety Product Design (S9), which scored 11, 9, and 9 points, respectively. In contrast, Distribution Cost (S1) and Warehouse Cost (S3) were among the lowest-ranked, indicating lesser priority in sustainability optimization. The decision-making process included normalization and defuzzification to ensure consistency across criteria, and the concordance and discordance matrices were used to eliminate inferior alternatives. The ISM model revealed hierarchical levels of influence, while the MICMAC analysis showed that most indicators had high dependence but low driving power. These findings provide actionable insights for logistics managers to prioritize high-impact areas like energy efficiency and transportation safety and guide policymakers in developing targeted incentives to support sustainable LPG logistics, particularly in the Indonesian context.