The power of Robotic Mobile Fulfilment Systems — A sensitivity analysis
研究了机器人移动履行系统中参数间的复杂交互对系统性能的影响，通过实验设计和敏感性分析发现SKU分散度、平均订单规模和每时间间隔订单量是关键因素，对优化仓库布局和资源利用有指导意义。
The use of mobile robots, particularly the Robotic Mobile Fulfilment System (RMFS), has increased in retail logistics. Especially in e-commerce, which is characterized by high demand fluctuations and diverse product ranges, RMFSs offer advantages. The existing literature suggests that the overall optimization of an RMFS is often challenging due to the system’s complexity and the unknown relationships involved. Therefore, this study extends the previous literature on RMFSs by analysing how the complex interactions between parameters affect the system’s performance. A Design of Experiment framework is used to determine the implicit effects on seven performance indicators. In combination with a sensitivity analysis consisting of various statistical analyses as part of predictive analytics, we confirm previous expectations and statistically demonstrate several heretofore unknown parameter interactions. These consist of two-way interactions of three parameters: The dispersion of stock keeping units (SKUs), average order size, and incoming orders per time interval. Our main contribution lies in identifying key efficiency factors for RMFS’s layouts, particularly highlighting the importance of station arrangement and the significant impact of SKU dispersion on system performance and resource utilization . Furthermore, our comparison of different layouts shows that those with fewer stations can optimize order picker utilization and achieve higher efficiency with fewer resources. Our findings confirm that SKU dispersion is the most influential factor affecting RMFS’s performance. We conclude that RMFS can be effectively applied to various scenarios by following our recommendations on SKU dispersion and layout design.