A Comprehensive Review of Supply Chain Resilience Research

Abstract

This article systematically describes supply chain resilience, mainly focusing on two core research areas: the resilience of supply chain logistics networks and the resilience capabilities of supply chain services. Regarding the resilience of logistics networks, scholars have achieved many results in network design optimization, disruption response mechanisms, and resilience assessment frameworks. These include considerations of initial disturbances in network design, probabilistic network graph modeling, load redistribution mechanisms, integration and application of the physical internet, and the use of models and algorithms such as mixed-integer nonlinear programming. In terms of the resilience capabilities of supply chain services, it explains that its core meaning is consistent with supply chain resilience, summarizes multi-dimensional evaluation systems (such as prediction, response, adaptation, recovery, and learning dimensions), key components (resistance and recovery capabilities), and improvement methods such as supply chain digitalization, intelligent logistics, and digital transformation, and explores the heterogeneous impacts of enterprise types, industrial chain positions, regional characteristics, and time lag effects. Through multiple research perspectives and methods, it elaborates on the overall framework and key findings of supply chain resilience research and provides references for subsequent related studies.