Abstract
Aiming at the production-distribution problem of perishable food, considering the interference caused by the change of the customer’s time window in actual distribution process, using the ideas of disruption management, analyzing the disturbance of the interference event to the production-distribution system, and constructing the perishable food production-distribution problem disturbance identification and disturbance measurement, and with the minimum deviation between the new scheme and the original scheme as the goal, a mathematical model of disturbance recovery is established. An improved ant colony algorithm-mixed ant colony algorithm based on the change of customer time window for perishable food production-distribution problem was designed to solve the problem. Finally, the simulation experiments are carried out by examples, and compared with the rescheduling results, the effectiveness of the disruption management model and the algorithm-mixed ant colony algorithm are also verified. The research results show that the disruption management can effectively reduce the degree of program deviation and control the cost reasonably.
Highlights
In the process of shopping, the freshness of perishable food is the key factor in customer satisfaction
The algorithm-mixed ant colony algorithm for perishable food productiondistribution problems based on customer time window changes is designed to solve the problem. e analysis results show that the disruption management model constructed in this paper can quickly and effectively produce adjustment schemes with less disturbance; it can better balance the four goals of customer waiting time, distribution costs, distribution routes, and production waiting time
It can provide new ideas for the company of production-distribution integration to solve the disruption problem
Summary
In the process of shopping, the freshness of perishable food is the key factor in customer satisfaction. E research on the integrated production and distribution scheduling problem of perishable products based on the change of customer time window can promote the development of disruption management and production scheduling, vehicle routing optimization, and other disciplines. Is paper firstly analyzes the customer time window changes in the perishable food production-distribution system and studies the disturbance from four aspects of enterprise production time, distribution cost, distribution path, and customers based on the idea of disruption management. Discrete Dynamics in Nature and Society algorithm are constructed to solve the problem, and a satisfactory adjustment scheme is generated quickly. It can provide decision support for the related enterprises of production and distribution integration to solve the interference problem of time window change
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
