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Quantitative models for managing supply chain risks: A review

Published on Nov 1, 2015in European Journal of Operational Research3.81
· DOI :10.1016/j.ejor.2015.04.034
Behnam Fahimnia24
Estimated H-index: 24
(USYD: University of Sydney),
Christopher S. Tang47
Estimated H-index: 47
(UCLA: University of California, Los Angeles)
+ 1 AuthorsJoseph Sarkis77
Estimated H-index: 77
(WPI: Worcester Polytechnic Institute)
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Abstract
As supply chain risk management has transitioned from an emerging topic to a growing research area, there is a need to classify different types of research and examine the general trends of this research area. This helps identify fertile research streams with great potential for further examination. This paper presents a systematic review of the quantitative and analytical models (i.e. mathematical, optimization and simulation modeling efforts) for managing supply chain risks. We use bibliometric and network analysis tools to generate insights that have not been captured in the previous reviews on the topic. In particular, we complete a systemic mapping of the literature that identifies the key research clusters/topics, interrelationships, and generative research areas that have provided the field with the foundational knowledge, concepts, theories, tools, and techniques. Some of our findings include (1) quantitative analysis of supply chain risk is expanding rapidly; (2) European journals are the more popular research outlets for the dissemination of the knowledge developed by researchers in United States and Asia; and (3) sustainability risk analysis is an emerging and fast evolving research topic.
  • References (149)
  • Citations (124)
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References149
Newest
#1Masoud Esmaeilikia (RMIT: RMIT University)H-Index: 2
#2Behnam Fahimnia (UTS: University of Technology, Sydney)H-Index: 24
Last.John P.T. Mo (RMIT: RMIT University)H-Index: 12
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#1Masoud Esmaeilikia (RMIT: RMIT University)H-Index: 2
#2Behnam Fahimnia (UTS: University of Technology, Sydney)H-Index: 24
Last.John P.T. Mo (RMIT: RMIT University)H-Index: 12
view all 6 authors...
#1Iris Heckmann (CIT: Center for Information Technology)H-Index: 4
#2Tina Comes (University of Agder)H-Index: 12
Last.Stefan Nickel (CIT: Center for Information Technology)H-Index: 32
view all 3 authors...
#1Behnam Fahimnia (USYD: University of Sydney)H-Index: 24
#2Joseph Sarkis (WPI: Worcester Polytechnic Institute)H-Index: 77
Last.Hoda Davarzani (USYD: University of Sydney)H-Index: 10
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#1Marcus Brandenburg (Technical University of Berlin)H-Index: 9
#2Kannan Govindan (University of Southern Denmark)H-Index: 49
Last.Stefan Seuring (University of Kassel)H-Index: 39
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#1Zhennan Yuan (USTC: University of Science and Technology of China)
#2Frank Y. Chen (CityU: City University of Hong Kong)H-Index: 15
Last.Yugang Yu (USTC: University of Science and Technology of China)H-Index: 20
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#1Georgios Leontaris (TU Delft: Delft University of Technology)H-Index: 1
#2Oswaldo Morales-Nápoles (TU Delft: Delft University of Technology)H-Index: 7
Last.A. R. M. Wolfert (TU Delft: Delft University of Technology)H-Index: 1
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#1Baris Ozkan (OMU: Ondokuz Mayıs University)H-Index: 6
#2Eren Özceylan (University of Gaziantep)H-Index: 17
Last.Inci Saricicek (Eskişehir Osmangazi University)H-Index: 5
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