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Risk assessment in supply chains: a state-of-the-art review of methodologies and their applications.
Choudhary, Nishat Alam; Singh, Shalabh; Schoenherr, Tobias; Ramkumar, M.
  • Choudhary NA; Operations Management & Quantitative Techniques Group, Indian Institute of Management Raipur, Atal Nagar, Raipur, 493661 India.
  • Singh S; Operations Management & Quantitative Techniques Group, Indian Institute of Management Raipur, Atal Nagar, Raipur, 493661 India.
  • Schoenherr T; Department of Supply Chain Management, Broad College of Business, Michigan State University, 632 Bogue St., East Lansing, MI USA.
  • Ramkumar M; Operations Management & Quantitative Techniques Group, Indian Institute of Management Raipur, Atal Nagar, Raipur, 493661 India.
Ann Oper Res ; : 1-43, 2022 May 03.
Article in English | MEDLINE | ID: covidwho-2255041
ABSTRACT
The year 2020 can be earmarked as the year of global supply chain disruption owing to the outbreak of the coronavirus (COVID-19). It is however not only because of the pandemic that supply chain risk assessment (SCRA) has become more critical today than it has ever been. With the number of supply chain risks having increased significantly over the last decade, particularly during the last 5 years, there has been a flurry of literature on supply chain risk management (SCRM), illustrating the need for further classification so as to guide researchers to the most promising avenues and opportunities. We therefore conduct a bibliometric and network analysis of SCRA publications to identify research areas and underlying themes, leading to the identification of three major research clusters for which we provide interpretation and guidance for future work. In doing so we focus in particular on the variety of parameters, analytical approaches, and characteristics of multi-criteria decision-making techniques for assessing supply chain risks. This offers an invaluable synthesis of the SCRA literature, providing recommendations for future research opportunities. As such, this paper is a formidable starting point for operations researchers delving into this domain, which is expected to increase significantly also due to the current pandemic.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Ann Oper Res Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Ann Oper Res Year: 2022 Document Type: Article