Review of quantitative methods for supply chain resilience analysis

• Published in: Transportation research. Part E, Logistics and transportation review Vol. 125; pp. 285 - 307
• Main Authors: Hosseini, Seyedmohsen, Ivanov, Dmitry, Dolgui, Alexandre
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.05.2019; Elsevier
• Subjects: Capacity resilience; Computer Science; Digital supply chain; Disruption risk; Operations Research; Resilience supplier; Resilient supply chain; Review; Ripple effect; Supply chain resilience; Supply disruptions; Disruption risk; Resilience supplier; Supply chain resilience; Digital supply chain; Supply disruptions; Capacity resilience; Ripple effect; Review; Resilient supply chain
• ISSN: 1366-5545; 1878-5794
• DOI: 10.1016/j.tre.2019.03.001

•We review and classify the major features of models proposed in supply chain resilience.•The analysis is rooted in original concept of resilience capacity.•It introduces a structured analysis based on different levels of capacity resilience.•The gaps and limitations of existing supply chain resilience literature are identified and future research opportunities are suggested. Supply chain resilience (SCR) manifests when the network is capable to withstand, adapt, and recover from disruptions to meet customer demand and ensure performance. This paper conceptualizes and comprehensively presents a systematic review of the recent literature on quantitative modeling the SCR while distinctively pertaining it to the original concept of resilience capacity. Decision-makers and researchers can benefit from our survey since it introduces a structured analysis and recommendations as to which quantitative methods can be used at different levels of capacity resilience. Finally, the gaps and limitations of existing SCR literature are identified and future research opportunities are suggested.