The introduction of new generation agricultural products has generated an increased need for efficient and accurate product segregation across a number of Canadian agricultural sectors. As a key component of wheat handling in the Canadian grain industry, grading of wheat for value-added blending has historically been accomplished by visual identification. As of 2008 in Canada, visual identification was eliminated for all primary classes of wheat and replaced by an alternative system of wheat declaration. Given the high costs of testing each truck and railcar for quality assurance, the declaration system must rely on incentives and trust as there is now considerable potential for accidental or opportunistic misrepresentation throughout the grain supply chain. This research attempts to identify cost-effective handling strategies and policies so as to maintain the integrity of the supply chain under the new declaration system. An agent-based simulation model is developed to capture the effects of individual heterogeneity as well as behavioral adaption to the declaration system within the modern wheat supply chain. The simulated results are used to identify superior testing strategies for handlers, along with the relative risks and costs associated with each of the testing strategies.
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