Optimization of Work Processes in Logistics: Application of Operations Research Methods

This thesis deals with creating an optimization model whose goal is to make logistics processes in a selected company more efficient. The company has its own vehicle fleet and warehouse, which allows it to handle most transport of materials and goods using its own logistics workers. The thesis briefly describes how internal logistics works, including route planning, receiving and sending goods, and similar processes. Based on the analysis, the main weaknesses of the logistics process were identified. The key weakness examined in this thesis is inefficient planning of collection and delivery routes. The solution was developed step by step. First, basic models were studied, and then the model constraints and structure were adjusted so that the model better matched the needs of the company. The result is two mathematical models (one for collection and one for delivery) based on the classical Capacitated Vehicle Routing Problem (CVRP). These models were tested in real conditions over fourteen days. During the testing, input values were changed, especially the requirements of suppliers and customers. This helped to verify the flexibility and robustness of the proposed models. The models were solved using FICO Xpress software, which enabled efficient calculations and finding the optimal solution. The results of this thesis offer recommendations for improving internal logistics and suggest a useful tool for planning internal transport in the selected company.