分析
食品安全管理
供应链
食品安全
业务
中国
风险管理
工作(物理)
资源(消歧)
计算机科学
风险分析(工程)
环境经济学
营销
财务
数据科学
经济
工程类
医学
机械工程
计算机网络
病理
政治学
法学
作者
Cangyu Jin,Retsef Levi,Qiao Liang,Nicholas Renegar,Stacy L. Springs,Jiehong Zhou,Weihua Zhou
出处
期刊:Management Science
[Institute for Operations Research and the Management Sciences]
日期:2021-05-01
卷期号:67 (5): 2985-2996
被引量:22
标识
DOI:10.1287/mnsc.2020.3839
摘要
This paper illustrates how supply chain (SC) analytics could provide strategic and operational insights to evaluate the risk-based allocation of regulatory resources in food SCs, for management of food safety and adulteration risks. This paper leverages data on 89,970 tests of aquatic products extracted from a self-constructed data set of 2.6 million food safety tests conducted by the China Food and Drug Administration (CFDA) organizations. The integrated and structured data set is used to conduct innovative analysis that identifies the sources of adulteration risks in China’s food SCs and contrasts them with the current test resource allocations of the CFDA. The analysis highlights multiple strategic insights. Particularly, it suggests potential gaps in the current CFDA testing allocation by SC location, which is heavily focused on retail and supermarkets. Instead, the analysis indicates that high-risk parts of the SC, such as wholesale and wet markets, are undersampled. Additionally, the paper highlights the impact that SC analytics could have on policy-level operational decision making to regulate food SCs and manage food safety. The hope is that the paper will stimulate the interest of academics with expertise in these areas to conduct more work in this important application domain. This paper was accepted by Charles Corbett, operations management.
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