Planning and controlling warehouse capacities can be a complex challenge due to numerous factors, such as inaccurate demand forecasting, seasonal fluctuations, inventory management challenges, poor space utilization, operational limitations, costs, and environmental and safety regulations. A comprehensive approach includes accurate demand forecasting, efficient inventory management, flexible warehouse design, and advanced technological solutions. This can lead to better traceability, space utilization, operational efficiency, flexibility, and lower storage losses and costs.
This thesis addresses warehouse capacity planning using a simulation model. It describes the development of warehouse systems and the challenges faced in their planning. The role of simulations in production and a comparison of the most commonly used simulation tools in this field are presented. Furthermore, the key functions of Tecnomatix Plant Simulation used in our simulation model are described in detail. The result of this work is a warehouse model that enables efficient management of warehouse capacities and tracking of elements at any given moment. The process includes requirement determination, development, and a description of creating a functional model.
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