Study On Production-Distribution Of Perishable Food Considering The Change Of Customer Time Window

As the demand for perishable food products is increasing,most farms adopt a zero-inventory production approach according to customer order requirements to minimize losses in production and distribution.However,there are often unpredictable events that can interfere with the original plan.Therefore,how to deal with the disturbance events quickly and effectively and minimize the disturbance to the whole production distribution system has great practical significance.According to the characteristics of perishable product production and distribution,this paper considers the disturbance event of time window change.Firstly,this paper analyzed the disturbance from four aspects of manufacturer,distribution center,distributor and customer to identify and measure the disturbance degree of time window change,so as to provide the basis for the new scheme after disturbance;secondly,the objective is to minimize the deviation between the new plan and the initial plan after the disturbance event Then,a hybrid ant colony algorithm based on tabu search is designed to solve the interference management model,and the production distribution scheme with the minimum disturbance to the system is generated.Finally,the model and algorithm are applied to solve the new solution with the production-distribution example of enterprise A,and the solution result is compared with the re-scheduling result to validate the interference in this paper.Then the method is compared with the rescheduling method to verify the superiority of the method.The superiority of management models and algorithms provides decision support for enterprises involved in production and distribution integration to solve the interference problem of time window changes.