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<p>Efficient logistics management is essential for improving operational efficiency and gaining a competitive edge in dynamic business behavior. To achieve this, it is necessary to evaluate the performance by adopting digital technologies that enable rapid, innovative, and green delivery while optimizing costs and reducing delivery faults. Previous studies have examined performance evaluation in supply chain and logistics, but no study has explicitly focused on logistics operations in the digital technology domain. This study uses a hybrid multi-criteria decision-making (MCDM) methodology to explore the impact of digital technology on logistics operations. We identified twenty-five key performance indicators (KPIs) from the literature and expert input, classified into four parameters: sustainability, accountability, quality, and operational. Later, the proposed study uses the Fuzzy Delphi method (FDM), which eliminates five KPIs from the initially identified KPIs. Subsequently, the fuzzy full consistency method (FUCOM) estimated the weights of the finalized KPIs. The validity of the hybrid approach was confirmed through sensitivity and comparison analyses. The results conclude that the sustainability (P<sub>1</sub>) parameter got the highest ranking, followed by quality (P<sub>3</sub>). Moreover, “cost reduction (L<sub>4</sub>)” is ranked first and nominated as a critical KPI having a weightage of 0.0773, which is subsequently followed by “rapid delivery (L<sub>11</sub>),” “green delivery (L<sub>2</sub>),” and “regulations and legislation (L<sub>1</sub>)” having a weightage of 0.075, 0.0695, and 0.0694, respectively. The results of comparative analyses show that the ranking of the first three prime factors remains constant across F-DEMATEL, F-BWM, and F-AHP. However, the ranking for the KPI “Regulations and legislation” deviates slightly; this might be due to the F-AHP approach. In addition, the sensitivity analysis shows that the factor rankings for “cost reduction” and “rapid delivery” are insensitive to the first seven tests. The outcomes of this study will provide significant information regarding a digital technology-based KPI framework for researchers and policymakers to optimize operations and enhance logistics efficiency.</p>

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Critical Drivers for Performance Measurement in Sustainable Logistics Using Digital Twin and Blockchain Technology: A Hybrid Approach

  • 期刊论文

  • 发表日期：

    2026年6月15日

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  • Muhammad Shoaib,
  • Rongjian Yu,
  • Hassan Ali,
  • Ahmad Fraz,
  • Amin Ullah Khan

摘要

Efficient logistics management is essential for improving operational efficiency and gaining a competitive edge in dynamic business behavior. To achieve this, it is necessary to evaluate the performance by adopting digital technologies that enable rapid, innovative, and green delivery while optimizing costs and reducing delivery faults. Previous studies have examined performance evaluation in supply chain and logistics, but no study has explicitly focused on logistics operations in the digital technology domain. This study uses a hybrid multi-criteria decision-making (MCDM) methodology to explore the impact of digital technology on logistics operations. We identified twenty-five key performance indicators (KPIs) from the literature and expert input, classified into four parameters: sustainability, accountability, quality, and operational. Later, the proposed study uses the Fuzzy Delphi method (FDM), which eliminates five KPIs from the initially identified KPIs. Subsequently, the fuzzy full consistency method (FUCOM) estimated the weights of the finalized KPIs. The validity of the hybrid approach was confirmed through sensitivity and comparison analyses. The results conclude that the sustainability (P1) parameter got the highest ranking, followed by quality (P3). Moreover, “cost reduction (L4)” is ranked first and nominated as a critical KPI having a weightage of 0.0773, which is subsequently followed by “rapid delivery (L11),” “green delivery (L2),” and “regulations and legislation (L1)” having a weightage of 0.075, 0.0695, and 0.0694, respectively. The results of comparative analyses show that the ranking of the first three prime factors remains constant across F-DEMATEL, F-BWM, and F-AHP. However, the ranking for the KPI “Regulations and legislation” deviates slightly; this might be due to the F-AHP approach. In addition, the sensitivity analysis shows that the factor rankings for “cost reduction” and “rapid delivery” are insensitive to the first seven tests. The outcomes of this study will provide significant information regarding a digital technology-based KPI framework for researchers and policymakers to optimize operations and enhance logistics efficiency.