Testing at the Source: Analytics-Enabled Risk-Based Sampling of Food Supply Chains in China

30 Pages Posted: 28 Aug 2019 Last revised: 11 Jun 2020

See all articles by Cangyu Jin

Cangyu Jin

Zhejiang University - China Academy for Rural Development

Retsef Levi

MIT Sloan School of Management - Operations Research Center

Qiao Liang

Zhejiang University - China Academy for Rural Development

Nicholas Renegar

Massachusetts Institute of Technology (MIT) - Operations Research Center

Stacy Springs

Massachusetts Institute of Technology (MIT)

Jiehong Zhou

Zhejiang University - China Academy for Rural Development

Weihua Zhou

Zhejiang University

Date Written: August 25, 2019

Abstract

This paper illustrates how supply chain (SC) analytics could provide strategic and operational insights to inform risk-based allocation of regulatory resources in food SCs, for management of food safety and adulteration risks. The paper leverages a massive, self-constructed dataset of food safety tests conducted by China Food and Drug Administration (CFDA) organizations. The integrated and structured dataset 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 areas for improvement in the current CFDA testing allocation by SC location, that 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.

Keywords: Food Safety, Supply Chain, Agriculture, Big Data, Analytics, China

Suggested Citation

Jin, Cangyu and Levi, Retsef and Liang, Qiao and Renegar, Nicholas and Springs, Stacy and Zhou, Jiehong and Zhou, Weihua, Testing at the Source: Analytics-Enabled Risk-Based Sampling of Food Supply Chains in China (August 25, 2019). Available at SSRN: https://ssrn.com/abstract=3442541 or http://dx.doi.org/10.2139/ssrn.3442541

Cangyu Jin

Zhejiang University - China Academy for Rural Development ( email )

Qizhen Building, Zijingang Campus,ZJU
Hangzhou, Zhejiang 310058
China

Retsef Levi

MIT Sloan School of Management - Operations Research Center ( email )

100 Main Street
E62-416
Cambridge, MA 02142
United States

Qiao Liang

Zhejiang University - China Academy for Rural Development ( email )

Qizhen Building, Zijingang Campus,ZJU
Hangzhou, Zhejiang 310058
China

Nicholas Renegar (Contact Author)

Massachusetts Institute of Technology (MIT) - Operations Research Center ( email )

77 Massachusetts Avenue
Bldg. E 40-149
Cambridge, MA 02139
United States

HOME PAGE: http://www.mit.edu/~renegar

Stacy Springs

Massachusetts Institute of Technology (MIT) ( email )

77 Massachusetts Avenue
50 Memorial Drive
Cambridge, MA 02139-4307
United States

Jiehong Zhou

Zhejiang University - China Academy for Rural Development ( email )

Qizhen Building, Zijingang Campus,ZJU
Hangzhou, Zhejiang 310058
China

Weihua Zhou

Zhejiang University ( email )

38 Zheda Road
Hangzhou, Zhejiang 310058
China

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