Shereen Abdelaziz, Munjiati Munawaroh,
Volume 0, Issue 0 (10-2025)
Abstract
This study investigates the intersection of sustainable logistics and supply chain resilience, emphasizing their role in mitigating global disruptions such as natural disasters, pandemics, and geopolitical tensions. It identifies key trends, critical gaps, and actionable insights to guide the development of robust, adaptable, and sustainable supply chains. A bibliometric analysis of 480 scholarly works systematically maps the academic landscape, uncovering key themes, emerging trends, and knowledge gaps. The analysis focuses on sustainable logistics practices, such as green logistics, circular economy principles, and reverse logistics, alongside digital transformation technologies, including IoT, blockchain, and predictive analytics, to assess their integration into resilience strategies. The analysis reveals a fragmented approach to integrating sustainability and resilience, with practices often treated in isolation. Sustainable logistics practices enhance resource efficiency and adaptability but are constrained by the lack of holistic frameworks that integrate diverse sustainability practices with resilience strategies. While environmental dimensions and digital technologies, such as IoT and blockchain, are recognized as critical enablers, social and governance dimensions remain underexplored. Adoption disparities further hinder progress, particularly among SMEs, resource-constrained sectors, and underrepresented regions like Africa and South Asia. Inclusive frameworks, sector-specific applications, and empirical research—incorporating mixed methods, longitudinal studies, and real-world case studies—are essential to address these gaps and operationalize sustainability-resilience integration across diverse contexts. This research bridges a critical gap in the literature by presenting a comprehensive bibliometric analysis of sustainable logistics and supply chain resilience, emphasizing holistic, sector-specific, and integrative frameworks and highlighting the transformative role of digital technologies in achieving operational and strategic resilience.
Muhammad Faisal Ibrahim, Imam Santoso, Siti Asmaul Mustaniroh, Retno Astuti,
Volume 0, Issue 0 (10-2025)
Abstract
This study systematically reviews the application of Multi-Criteria Decision Making (MCDM) methods in risk management, aiming to map their use to the ISO 31000:2018 framework and consolidate fragmented literature into a structured synthesis. More than 3,000 studies were screened using a PRISMA-based methodology, and 104 were analyzed in depth to examine how MCDM methods support different stages of the risk management process. The findings reveal hybrid MCDM approaches significantly enhance decision-making effectiveness across multiple stages. The most frequently applied methods are the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), often combined for risk prioritization and mitigation strategy selection. The Decision-Making Trial and Evaluation Laboratory (DEMATEL) also effectively analyzes interdependencies between risk factors and mitigation strategies. Nonetheless, challenges such as expert judgment subjectivity and the complexity of integrating multiple techniques remain critical issues. Building on these insights, the study proposes a six-stage conceptual framework that integrates MCDM techniques across risk identification, analysis, evaluation, and treatment. The key contribution lies in providing a unified, adaptive, and data-driven framework that enhances comparative understanding and strengthens structured risk management practices across industries.
Farnad Nasirzadeh, Hamid Reza Maleki, Mostafa Khanzadi, Hojjat Mianabadi,
Volume 24, Issue 1 (2-2013)
Abstract
Implementation of the risk management concepts into construction practice may enhance the performance of project by taking appropriate response actions against identified risks. This research proposes a multi-criteria group decision making approach for the evaluation of different alternative response scenarios. To take into account the uncertainties inherent in evaluation process, fuzzy logic is integrated into the revaluation process. To evaluate alternative response scenarios, first the collective group weight of each criterion is calculated considering opinions of a group consisted of five experts. As each expert has its own ideas, attitudes, knowledge and personalities, different experts will give their preferences in different ways. Fuzzy preference relations are used to unify the opinions of different experts. After computation of collective weights, the best alternative response scenario is selected by the use of proposed fuzzy group decision making methodology which aggregates opinions of different experts. To evaluate the performance of the proposed methodology, it is implemented in a real project and the best alternative responses scenario is selected for one of the identified risks.
