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Supply chain complexity and risk mitigation – A hybrid optimization–simulation model

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  • Ge, Houtian
  • Nolan, James
  • Gray, Richard
  • Goetz, Stephan
  • Han, Yicheol

Abstract

With food safety a growing concern in agriculture, the structure and management of agricultural supply chains has become a significant policy issue. In turn, agricultural supply chains are often analytically complex, characterized by feedback and time sensitive, often random parameters. Modern commodity chains such as wheat handling in Canada are no exception. Recently, the Canadian government classes of wheat, replacing it by a new wheat segregation system that relies on trust and self-declaration of wheat type by individual farmers. To maintain food safety as well as operate cost-effectively in this new trust-based system, wheat handlers may be forced to develop a set of contamination testing strategies to maintain historical wheat quality and consistency. In contrast to much of the extant literature, this research builds a hybrid optimization-simulation model representing the new Canadian wheat supply chain, with the goal of identifying cost efficient varietal testing strategies. After solving for a base scenario, sensitivity analysis is conducted on key variables that influence wheat quality testing strategies. Our results validate the utility of currently employed wheat quality testing strategies in the Canadian supply chain.

Suggested Citation

  • Ge, Houtian & Nolan, James & Gray, Richard & Goetz, Stephan & Han, Yicheol, 2016. "Supply chain complexity and risk mitigation – A hybrid optimization–simulation model," International Journal of Production Economics, Elsevier, vol. 179(C), pages 228-238.
    • Handle: RePEc:eee:proeco:v:179:y:2016:i:c:p:228-238
    DOI: 10.1016/j.ijpe.2016.06.014
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    1. Hung, Wing Yan & Samsatli, Nouri J. & Shah, Nilay, 2006. "Object-oriented dynamic supply-chain modelling incorporated with production scheduling," European Journal of Operational Research, Elsevier, vol. 169(3), pages 1064-1076, March.
    2. S. Andrew Starbird, 2005. "Moral Hazard, Inspection Policy, and Food Safety," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(1), pages 15-27.
    3. Wilson, William W. & Dahl, Bruce L., 2008. "Procurement Strategies to Improve Quality Consistency in Wheat Shipments," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 33(1), pages 1-17, April.
    4. Musshoff, Oliver & Hirschauer, Norbert, 2007. "What benefits are to be derived from improved farm program planning approaches? - The role of time series models and stochastic optimization," Agricultural Systems, Elsevier, vol. 95(1-3), pages 11-27, December.
    5. Sébastien Pouliot & Daniel A. Sumner, 2008. "Traceability, Liability, and Incentives for Food Safety and Quality," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(1), pages 15-27.
    6. Akanle, O.M. & Zhang, D.Z., 2008. "Agent-based model for optimising supply-chain configurations," International Journal of Production Economics, Elsevier, vol. 115(2), pages 444-460, October.
    7. Starbird, S. Andrew, 2000. "Designing Food Safety Regulations: The Effect Of Inspection Policy And Penalties For Noncompliance On Food Processor Behavior," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(2), pages 1-20, December.
    8. Tanure, Soraya & Nabinger, Carlos & Becker, João Luiz, 2013. "Bioeconomic model of decision support system for farm management. Part I: Systemic conceptual modeling," Agricultural Systems, Elsevier, vol. 115(C), pages 104-116.
    9. Fraser, Rob & Monteiro, Diogo Souza, 2009. "A conceptual framework for evaluating the most cost-effective intervention along the supply chain to improve food safety," Food Policy, Elsevier, vol. 34(5), pages 477-481, October.
    10. Starbird, S. Andrew & Amanor-Boadu, Vincent, 2006. "Do Inspection and Traceability Provide Incentives for Food Safety?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 31(1), pages 1-13, April.
    11. Wilson, William W. & Dahl, Bruce L., 2002. "Costs And Risks Of Testing And Segregating Gm Wheat," Agribusiness & Applied Economics Report 23480, North Dakota State University, Department of Agribusiness and Applied Economics.
    12. Banterle, Alessandro & Stranieri, Stefanella, 2008. "The consequences of voluntary traceability system for supply chain relationships. An application of transaction cost economics," Food Policy, Elsevier, vol. 33(6), pages 560-569, December.
    13. William W. Wilson & Bruce Dahl, 2006. "Costs and Risks of Segregating GM Wheat in Canada," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 54(3), pages 341-359, September.
    14. Wilson, William W. & Dahl, Bruce L., 2002. "Costs And Risks Of Testing And Segregating Gm Wheat - Summary," Agribusiness & Applied Economics Report 23502, North Dakota State University, Department of Agribusiness and Applied Economics.
    15. Johnson, D. Demcey & Lin, William W., 2005. "The Economics of Testing for Biotech Grain: Application to StarLink Corn," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 30(2), pages 1-17, August.
    16. Houtian Ge & James Nolan & Richard Gray, 2015. "Identifying Strategies to Mitigate Handling Risks in the Canadian Grain Supply Chain," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 63(1), pages 101-128, March.
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