关键词: 食品追溯|追溯单元|Monte Carlo仿真|无线射频识别|优化模型

Abstract: To solve the problem of traceability data missing, out of sync or incompleteness in food traceability, an intelligent traceability method was proposed which used the turnaround time of traceability units to estimate units'flowing state and path. In this method, the turnaround time of a traceability unit between two nodes in the food chain network was taken as a continuous random variable to estimate the turnaround time distribution by using historical data route. The path estimation optimization model was established by taking mathematical expectation of traceability units'turnaround time distribution between nodes as variables and the minimum between the total time of the path and a given time as the optimization goal. The Monte Carlo simulation was used to simulate the time distribution of the flowing path to verify the feasibility of the estimated path. The simulation results showed that the proposed method did not depend on the traceability unit synchronization information. The flow state of the traceability unit might be predicted in the food chain network, as only the sent node was known. The historical flow path of the traceability unit might be estimated by giving the sent node and the terminal node.

Key words: food traceability|traceability units|Monte Carlo simulation|radio frequency identification|optimization model