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Disruptions in supply chains and recovery policies: state-of-the art review

Authors :
Marina Ivanova
Boris Sokolov
Alexandre Dolgui
Dmitry Ivanov
Berlin School of Economics and Law
Institut de Recherche en Communications et en Cybernétique de Nantes (IRCCyN)
Mines Nantes (Mines Nantes)-École Centrale de Nantes (ECN)-Ecole Polytechnique de l'Université de Nantes (EPUN)
Université de Nantes (UN)-Université de Nantes (UN)-PRES Université Nantes Angers Le Mans (UNAM)-Centre National de la Recherche Scientifique (CNRS)
Mines Nantes (Mines Nantes)
Science of St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences (SPIIRAS )
Chemnitz University of Technology / Technische Universität Chemnitz
Source :
IFAC-Papers, 8th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2016, 8th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2016, Jun 2016, Troyes, France. pp.21436-1441
Publication Year :
2016
Publisher :
HAL CCSD, 2016.

Abstract

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 state-of-the art review 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 to relate 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 other hand, limitations and future research needs for decision-support methods in supply chain risk management domains can be identified.

Details

Language :
English
Database :
OpenAIRE
Journal :
IFAC-Papers, 8th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2016, 8th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2016, Jun 2016, Troyes, France. pp.21436-1441
Accession number :
edsair.doi.dedup.....6a38caa9b6b2d25012ce2102cf48f209