Data-driven Food Supply Chain Optimization under Uncertain Crop Productions and Consumers' Demands

抄録

This paper proposes a mathematical model of multi-period food supply chain optimization maximizing the total profit based on the data-driven approach from the information system. Our propose model is focused on accommodating surplus foods among stores in a regional area. Our proposed model is formulated as a stochastic programming problem. With respect to a previous model, the explicit optimal ordering quantity at each time slot is obtained. However,it is hard to solve the formulated problem directly. Therefore, a scenario-based approach derived from POS data using the information system and deterministic equivalent transformations are introduced to apply our proposed model.