The present study took place in the industrial environment of a company that is part of the automotive industry. The characteristics of this type of industry require company to constantly optimise the configuration of its warehouses. The aim of this paper is to present an algorithm that allows the company to (re)configure the location of items in the Central Shelf Supply System (CSSS), which is the main supplier of parts for production lines. The algorithm was developed in Visual Basic.NET and operates sequentially, considering the characteristics of each item, providing a solution for the distribution of items in the CSSS, considering the balance of picking workload and ergonomic conditions of the picking operation. To evaluate the performance of the proposed solution for items location in CSSS, a simulation tool was developed using SIMIO. This tool demonstrated the capability to simulate different real-world scenarios in a virtual environment efficiently, quantifying important performance indicators. Two scenarios were considered when modelling the configuration of the CSSS system. Scenario 1 was modelled considering the locations of the items in the CSSS, while Scenario 2 was modelled taking into account the locations of the items proposed by the developed algorithm. With this simulation tool, it is now possible to easily assess over time whether the current item location solution can be maintained or needs adjustment. This developed simulation solution also enables the creation and testing of alternative layouts.