A global trade supply chain vulnerability in COVID-19 pandemic: An assessment metric of risk and resilience-based efficiency of CoDEA method

被引:30
作者
Jomthanachai, Suriyan [1 ]
Wong, Wai-Peng [1 ]
Soh, Keng-Lin [1 ,2 ]
Lim, Chee-Peng [3 ]
机构
[1] Univ Sains Malaysia, Sch Management, George Town 11800, Malaysia
[2] INTI Int Coll Penang, 1-Z Lebuh Bukit Jambul, George Town 11900, Malaysia
[3] Deakin Univ, Inst Intelligent Syst Res & Innovat, Waurn Ponds, Vic 3216, Australia
关键词
COVID-19; Vulnerability; Risk; Resilience; Global supply chain; Data envelopment analysis; NETWORK DEA; MODEL; PERFORMANCE; INDUSTRY; MANAGEMENT; SYSTEMS; IMPACT; FMEA;
D O I
10.1016/j.retrec.2021.101166
中图分类号
F [经济];
学科分类号
02 ;
摘要
The COVID-19 pandemic has an adverse impact on the global trade supply chain. Countries where the economy is driven by global trade, either as exporters or importers and are faced with the problem of declining imports and exports. This is due to the interruption of the main players of the global supply chain (i.e., production, logistics and transportation sector) as well as the slow-down in consumption of overseas customers. This paper presents the development of an efficiency related metric from the Coherent Data Envelopment Analysis (CoDEA) method for assessing the vulnerability (or conversely, the robustness) levels of the supply chain system of six ASEAN countries. The results reveal that Thailand is most vulnerable to international supply chain issues indicated by its lowest efficiency score. This is due to Thailand's severe disruption of logistics and transportation systems compared with its neighboring countries. In contrast, Vietnam is the most robust because of its efficiency in the exports sector. Our research reveals that trading partners with a lower risk and the ability to rapidly recover their import volume reflect their less vulnerable supply chains. This research provides the associated strategies to establish a resilient global supply chain in spite of the COVID-19 pandemic.
引用
收藏
页数:16
相关论文
共 66 条
[1]   Impact of COVID-19 on the food supply chain [J].
Aday, Serpil ;
Aday, Mehmet Seckin .
FOOD QUALITY AND SAFETY, 2020, 4 (04) :167-180
[2]   On Some Recent Definitions and Analysis Frameworks for Risk, Vulnerability, and Resilience [J].
Aven, Terje .
RISK ANALYSIS, 2011, 31 (04) :515-522
[3]   Importance of Statistical Evidence in Estimating Valid DEA Scores [J].
Barnum, Darold T. ;
Johnson, Matthew ;
Gleason, John M. .
JOURNAL OF MEDICAL SYSTEMS, 2016, 40 (03) :1-9
[4]  
Bartueviciene I., 2013, Social Transformations in Contemporary Society, V1, P45, DOI DOI 10.1063/1.1534621
[5]   On metrics for supply chain resilience [J].
Behzadi, Golnar ;
O'Sullivan, Michael Justin ;
Olsen, Tava Lennon .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2020, 287 (01) :145-158
[6]   Resilience in the face of uncertainty: early lessons from the COVID-19 pandemic [J].
Bryce, C. ;
Ring, P. ;
Ashby, S. ;
Wardman, J. K. .
JOURNAL OF RISK RESEARCH, 2020, 23 (7-8) :880-887
[7]   TOWARD THE THEORY OF THE SUPPLY CHAIN [J].
Carter, Craig R. ;
Rogers, Dale S. ;
Choi, Thomas Y. .
JOURNAL OF SUPPLY CHAIN MANAGEMENT, 2015, 51 (02) :89-97
[8]   Applying DEA to enhance assessment capability of FMEA [J].
Chang, Dong-Shang ;
Sun, Kuo-Lung .
INTERNATIONAL JOURNAL OF QUALITY & RELIABILITY MANAGEMENT, 2009, 26 (06) :629-+
[9]   MEASURING EFFICIENCY OF DECISION-MAKING UNITS [J].
CHARNES, A ;
COOPER, WW ;
RHODES, E .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1978, 2 (06) :429-444
[10]   Network DEA model for supply chain performance evaluation [J].
Chen, Ci ;
Yan, Hong .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2011, 213 (01) :147-155