Study On Establishment And Recall Of Optimization Model For Traceability Of Fresh-cuts Processing

During the several years,the frequent food safety accidents have been a serious threat to people’s food security.In order to ensure the food safety of the society,it is vital important to set up the whole regulatory system from field to table。Food safety traceability system based on agricultural products supply chain has gradually put into the public eye,its system has the role of information input,collection and sharing,which can break the information asymmetry in the supply chain of agricultural products,and make people can quickly understand the detailed product information.For some product traceability system can accurately track the unit product,but it could not reduce the recall number of defective products,especially before the production plan execution.Combined with the production plan and technology of fresh cut vegetables,this article aim at the characteristic of traceability system and establish the MILP model that could satisfy the requirement of batch mixed therefore.The developments of processing fresh: The main elements of the process are observation and recording.At first,according to order determine the product type and the quantity of materials required,the raw materials will become the orders product through cleaning shard key steps such as packaging.Then record batch material information at all levels and picking vegetables loss in the process of cleaning.The ratio of raw materials and the multi-objective optimization model: The requirement of orders products present small batch variety The single batch of raw material is not only used for processing as a single product,but also exists in the process of batch mixing.The requirements of raw materials and the number of available order quantity,are the constraints for the production plan.Because of the allocation of different raw materials,the comprehensive utilization ratio of raw materials and batch mixing degree and the recall number will be different.Therefore,to establish a reasonable scheme for raw materials is particularly important.An optimization algorithm design: Batch hybrid model of multi-objective is NP problem,which can be divided into sequence method,by using Lingo to solve the model;When batch mixing degree was 10,the lowest cost of purchase was 2840.33 yuan,the average recall quantity was 177.50 kg.