Optimising space utilisation in block stacking warehouses
研究了在有限生产率约束下，如何确定块堆垛仓库中最佳通道深度以最大化空间利用率，提出了针对单一和多种库存单位的数学模型，并用仿真验证了随机不确定性下的表现。
Block stacking storage is an inexpensive storage system widely used in manufacturing systems where pallets of stock keeping units (SKUs) are stored in a warehouse at the finite production rates. However, determining the optimal lane depth that maximises space utilisation under a finite production rate constraint has not been adequately addressed in the literature and is an open problem. In this research, we propose mathematical models to obtain the optimal lane depth for single and multiple SKUs where the pallet production rates are finite. A simulation model is used to evaluate performance of the proposed models under stochastic uncertainty in the major production parameters and the demand.