Improving the Efficiency of Inventory Management Using Simulation Modeling

This thesis explores the enhancement of warehouse system efficiency through the application of simulation modeling tools. Warehouses serve as crucial links in the supply chain, and their operational quality directly impacts a company's competitiveness and profitability. Therefore, improving warehouse system efficiency is an increasingly pertinent issue. The aim of this study is to investigate how simulation modeling can be utilized to enhance warehouse efficiency. A theoretical analysis of the literature was conducted, and empirical methods were applied to solve warehouse location problems using simulation tools and to develop a simulation model. The study's objectives included: examining theoretical aspects of warehouse logistics, exploring the role of simulation modeling in improving warehouse efficiency, developing a simulation model for the warehouse unloading process, analyzing methods for determining optimal warehouse location and capacity, and utilizing software such as Excel, AnyLogic, and AnyLogistix to evaluate efficiency improvement models. The study also sought to solve the optimal warehouse location problem using simulation modeling. The research identified the strengths and weaknesses of simulation modeling compared to other efficiency improvement methods. A comprehensive solution was developed using methods like gravity method, relative preference method, and simulation modeling, implemented through Excel, AnyLogistix, and AnyLogic. The study provides a detailed analysis of various methods, highlighting their advantages and disadvantages, and offers recommendations for refining and applying these results within the company.