A Simulation-Based Decision Making Tool for Key Warehouse Resources Selections

Managers of manual storing and picking warehouses have to decide how much labor resources to use and how much space to have. These decisions are crucial since they directly affect the warehouse performance in terms of throughput and operational costs. This paper presents a simulation-based tool for selecting key WH resources considering both generic and case-based WH characteristics. The simulation experiments are designed in order to simultaneously considering multi input effects. The results show that the two factor effect of simultaneously adopting the volume-based storage policy and changing the manner of using the gating system generates the optimum resources selection.