An example of using an ant’s algorithm to improve the distribution process of perishable products
The transport of goods to customers is an important element of the operations of manufacturing enterprises. Optimally managed distribution network and vehicle fleet are the key factors that allow to significantly reduce delivery costs. Clearly visible effects of reducing transport costs can be obtained through proper route planning, including the order of serving individual recipients. The aim of the article is to present a way to find a solution that allows improving the distribution process of perishable products to many recipients on the example of one of the routes served by the example company. In finding the optimal solution, tools based on the optimization problem called the "traveling salesman problem" (TSP) were used. Tools have been described to facilitate better planning of delivery routes to recipients using one means of transport. An algorithm is presented that allows to optimize the use of the means of transport while reducing transport costs and increasing work efficiency by minimizing the time of transport service provision.