نشریه بین المللی مهندسی صنایع و تحقیقات تولید
دانشگاه علم و صنعت ایران
دوشنبه 19 مرداد 1405
[Archive]
جلد 37، شماره 3 - ( 7-1405 )
جلد 37 شماره 3 صفحات 120-108 |
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hechlaf O, EL OUALIDI M A, MHARZI H. Measuring Humanitarian Supply Chain Resilience under Natural Hazards: A Methodological Typology and Cross-Phase Research Agenda. IJIEPR 2026; 37 (3) :108-120
URL: http://ijiepr.iust.ac.ir/article-1-2564-fa.html
URL: http://ijiepr.iust.ac.ir/article-1-2564-fa.html
Measuring Humanitarian Supply Chain Resilience under Natural Hazards: A Methodological Typology and Cross-Phase Research Agenda. نشریه بین المللی مهندسی صنایع و تحقیقات تولید. 1405; 37 (3) :108-120
چکیده: (168 مشاهده)
Natural hazards place humanitarian supply chains under pressure by damaging infrastructure, increasing uncertainty, and making the delivery of relief assistance more difficult. Although humanitarian supply chain resilience has become an important topic in logistics and disaster management research, the way it is measured remains fragmented across hazard contexts, methodological approaches, and disaster phases. This paper reviews how humanitarian supply chain resilience has been assessed under natural hazard conditions through a PRISMA-guided systematic literature review of 54 studies identified through searches in the Scopus and Web of Science databases and published between 2014 and May 2026.
The analysis combines descriptive results, VOS viewer keyword co-occurrence mapping, and a coding framework covering hazard context, methodological family, resilience phase, measurement focus, and contribution to humanitarian decision-making. The results show that floods and earthquakes receive attention, while cyclones, typhoons, landslides, droughts, and cascading hazards remain less represented. Optimization models are the common methodological family, followed by multi-criteria decision-making, simulation, statistical and probabilistic modeling, qualitative case-based approaches, AI/data-driven methods, and hybrid decision-support models.
The review also shows that most studies emphasize operational indicators, including response time, cost, routing efficiency, facility location, accessibility, and relief allocation. Coordination capacity, deprivation cost, social vulnerability, recovery, organizational learning, and feedback between disaster phases are weakly integrated into existing measurement frameworks. The paper contributes by developing a methodological typology of humanitarian supply chain resilience measurement approaches and by proposing a hazard-sensitive and cross-phase research agenda for future studies.
The analysis combines descriptive results, VOS viewer keyword co-occurrence mapping, and a coding framework covering hazard context, methodological family, resilience phase, measurement focus, and contribution to humanitarian decision-making. The results show that floods and earthquakes receive attention, while cyclones, typhoons, landslides, droughts, and cascading hazards remain less represented. Optimization models are the common methodological family, followed by multi-criteria decision-making, simulation, statistical and probabilistic modeling, qualitative case-based approaches, AI/data-driven methods, and hybrid decision-support models.
The review also shows that most studies emphasize operational indicators, including response time, cost, routing efficiency, facility location, accessibility, and relief allocation. Coordination capacity, deprivation cost, social vulnerability, recovery, organizational learning, and feedback between disaster phases are weakly integrated into existing measurement frameworks. The paper contributes by developing a methodological typology of humanitarian supply chain resilience measurement approaches and by proposing a hazard-sensitive and cross-phase research agenda for future studies.
نوع مطالعه: مروری |
موضوع مقاله:
زنجیره تامین و لجستیک
دریافت: 1404/7/14 | پذیرش: 1405/4/10 | انتشار: 1405/6/17
دریافت: 1404/7/14 | پذیرش: 1405/4/10 | انتشار: 1405/6/17
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