Literature review on disruption recovery in the supply chain

• Published in: International journal of production research Vol. 55; no. 20; pp. 6158 - 6174
• Main Authors: Ivanov, Dmitry, Dolgui, Alexandre, Sokolov, Boris, Ivanova, Marina
• Format: Journal Article
• Language: English
• Published: London Taylor & Francis 18.10.2017; Taylor & Francis LLC
• Subjects: Automatic; Computer Science; Disruption; Empirical analysis; Engineering Sciences; Identification methods; Literature reviews; Operations Research; Recovery; Risk management; supply chain design; supply chain dynamics; supply chain engineering; supply chain resilience; supply chain risk management; Supply chains
• ISSN: 0020-7543; 1366-588X
• DOI: 10.1080/00207543.2017.1330572

Recent research underlines the crucial role of disruption events and recovery policies in supply chains. Despite a wealth of literature on supply chain design with disruption considerations, to the best of our knowledge there is no survey on supply chain with disruptions and recovery considerations. We analyse state-of-the-art research streams on supply chain design and planning with both disruptions and recovery considerations with the aim of relating the existing quantitative methods to empirical research. The paper structures and classifies existing research streams and application areas of different quantitative methods subject to different disruption risks and recovery measures. We identify gaps in current research and delineate future research avenues. The results of this study are twofold: operations and supply chain managers can observe which quantitative tools are available for different application areas; on the other hand, limitations and future research needs for decision-support methods in supply chain risk management domains can be identified.