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Product contamination in a multi-stage food supply chain

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  • Chebolu-Subramanian, Vijaya
  • Gaukler, Gary M.

Abstract

Food product contamination has potentially devastating effects on companies and supply chains. However, the impact of contamination has still not been thoroughly studied from a supply chain planning perspective. This paper models a contamination event in a generic food supply chain consisting of suppliers, processing centers, and retailers. Contamination is detected through either company or government agency sampling tests or through reports of a food borne illness. In this research, we analyze the impact of origin and choice of sampling strategies, and product and supply chain attributes on a contamination event. We also simulate a real-world tomato contamination case to gain further insights.

Suggested Citation

  • Chebolu-Subramanian, Vijaya & Gaukler, Gary M., 2015. "Product contamination in a multi-stage food supply chain," European Journal of Operational Research, Elsevier, vol. 244(1), pages 164-175.
    • Handle: RePEc:eee:ejores:v:244:y:2015:i:1:p:164-175
    DOI: 10.1016/j.ejor.2015.01.016
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    2. Hanukov, Gabi & Avinadav, Tal & Chernonog, Tatyana & Yechiali, Uri, 2019. "Performance improvement of a service system via stocking perishable preliminary services," European Journal of Operational Research, Elsevier, vol. 274(3), pages 1000-1011.
    3. Auler, Daniel P. & Teiceira, Rafael & Nardi, Vinicius, 2016. "Food safety as a field in supply chain management studies: a systematic literature review," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 20(1), September.
    4. Utomo, Dhanan Sarwo & Onggo, Bhakti Stephan & Eldridge, Stephen, 2018. "Applications of agent-based modelling and simulation in the agri-food supply chains," European Journal of Operational Research, Elsevier, vol. 269(3), pages 794-805.
    5. Hanukov, Gabi & Avinadav, Tal & Chernonog, Tatyana & Yechiali, Uri, 2020. "A service system with perishable products where customers are either fastidious or strategic," International Journal of Production Economics, Elsevier, vol. 228(C).
    6. Roper, Stephen & Tapinos, Efstathios, 2016. "Taking risks in the face of uncertainty: An exploratory analysis of green innovation," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 357-363.
    7. Wang, Haiyan & Zhan, Sha-lei & Ng, Chi To & Cheng, T.C.E., 2020. "Coordinating quality, time, and carbon emissions in perishable food production: A new technology integrating GERT and the Bayesian approach," International Journal of Production Economics, Elsevier, vol. 225(C).

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