Joint Distribution-Inventory Optimization and Simulation for Cold Chain Logistics Considering Order Substitution
The most important purpose of cold chain logistics is to ensure product freshness,and how to reduce the cost of order distribution on this basis is an urgent problem for cold chain companies.For consumers,product quality and food safety are their main needs.Therefore,by taking the distribution center as the research object,the products were divided into different grades according to the initial freshness of the products before distribution,and the overall freshness of the products was improved by adopting the grade upward substitution mode for orders that do not meet the delivery requirements so that customers can obtain products with better quality as much as possible and get their needs met.At the same time,a two-layer planning model was established based on minimum freshness,inventory,and other constraints to jointly optimize the distribution and inventory allocation problems.The upper layer model determines the order distribution and inventory allocation scheme with the goal of minimizing the sum of transportation costs,cargo loss costs,and other cost.The lower model determines the order that needs to be replaced and the product grade that needs to be replaced with the goal of minimizing order substitution costs.An improved adaptive genetic algorithm and a cplex solver were used to solve the upper and lower model respectively.The solved distribution scheme was verified by a simulation model that simulated road congestion and re-added to the double-layer model for planning.The solution shows that order substitution can effectively reduce the operating costs of enterprises and obtain more realistic order distribution and inventory allocation schemes.
万方数据
维普
