POST-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

Abstract

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.

Keywords: Supply chain resilience; supply chain sustainability; spillover effect; systemic risks; Fuzzy AHP analytical hierarchy; Fuzzy TOPSIS ideal solution similarity order execution technique.