International Journal of Information Technology and Applied Sciences (IJITAS)
https://woas-journals.com/index.php/ijitas
<p><strong>International Journal of Information Technology and Applied Sciences (IJITAS) -ISSN 2709-2208 (Online)-</strong> is a peer-reviewed International Journal that currently publishes 4 issues annually. IJITAS is published by the <a href="http://www.woasjournals.com/" target="_blank" rel="noopener">World Organization of Applied Sciences (WOAS)</a>. IJITAS journal publishes technical papers, as well as review articles and surveys, describing recent research and development work that covers all areas of computer science, information systems, and computer / electrical engineering.</p> <p align="justify"><em><strong>Cross Reference</strong></em></p> <p align="justify"><strong>International Journal of Information Technology and Applied Sciences (IJITAS)</strong> is a member of the <strong>CrossRef. </strong>The DOI prefix allotted for IJITAS is <a href="https://doi.org/10.52502/ijitas"><strong>10.52502/ijitas</strong></a></p>International Journal of Information Technology and Applied Sciences (IJITAS)en-USInternational Journal of Information Technology and Applied Sciences (IJITAS)2709-2208POST-DISRUPTION SUPPLY CHAIN RECOVERY FOLLOWING A DISRUPTION IN AN EPIDEMIOLOGICAL CONTEXT: MERGING DIMENSIONS OF RESILIENCE AND SUSTAINABILITY IN SUPPLY CHAIN – A CASE STUDY INSPIRED BY THE MOROCCAN CONTEXT
https://woas-journals.com/index.php/ijitas/article/view/1228
<p>The resilience between practitioners and academics is a central concern of policy makers worldwide. Currently, the context driven by the occurrence of disruptive low-occurrence, high-severity hazards has accelerated investment in resilient mitigation and adaptation programmes with spillover effects on low-certainty contexts. To ensure continuity in the management of flows, research programmes are attempting to model and simulate the effect of systemic risks on the resilience of supply chains that experience large variations in their lead times and delivery. The present study looks at the capabilities to improve recovery times in the presence of systemic risks before and during the occurrence of the Covid19 context. Then 35 systemic risk events are identified and prioritised using the Fuzzy AHP method and sequentially simulated using Fuzzy TOPSIS to assess the ability of the resilient and sustainable dimensions to mitigate and reduce the propagation of disruptive risks.</p> <p><strong> </strong></p> <p><strong>Keywords: </strong>Supply chain resilience; supply chain sustainability; spillover effect; systemic risks; Fuzzy AHP analytical hierarchy; Fuzzy TOPSIS ideal solution similarity order execution technique.</p>EL ABDELLAOUI MohamedELOTMANI BrahimNAOUI Khalid
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https://creativecommons.org/licenses/by-nc-nd/4.0
2026-04-142026-04-1481012310.5281/zenodo.19570225