This white paper from Hai Robotics explains the concept of SKU batch factor as a critical component in designing cost-effective and right-sized automated storage and retrieval systems (ASRS) for warehouses. SKU batch factor refers to the average number of order lines that can be picked from a single inventory position, and it plays a key role in determining the appropriate level of automation needed without overspending on unnecessary robotics. The paper highlights how austria rcs data understanding and correctly calculating the batch factor allows for optimizing order picking, managing resources effectively, and ensuring a strong return on investment by reducing both the equipment size and overall operational costs.
It also discusses the risks of miscalculating batch factors, such as oversizing or undersizing an ASRS, which can lead to substantial financial and operational inefficiencies. Key considerations in batch factor calculation include understanding order profiles and availability, which can impact grouping and order assignment in ASRS systems. Properly accounting for these factors helps ensure that automated solutions meet the specific demands of warehousing operations without excessive investment in robotics.
Hai Robotics offers insights into how their Autonomous Case-Handling Robotic (ACR) systems, combined with AI-driven software, can boost productivity, improve order accuracy, and increase storage density. With a focus on scalability and customization, Hai Robotics supports clients in achieving optimized and flexible automated solutions tailored to unique order patterns and operational needs.