Optimizing Performance of the AutoStore Goods-to-Person Storage System

AutoStore has emerged as a highly effective solution for organizations that need to maximize storage density and accelerate pick speeds. The system’s unique architecture delivers extremely dense storage while supporting goods-to-person (or robot) picking to enable significant improvements in productivity and throughput.

As the technology has matured, AutoStore has demonstrated the flexibility to support a growing number of applications in terms of order lines per hour and number of SKUs supported by the system. To take full advantage of this flexibility, the AutoStore system must be tailored to the requirements of pickers and the application by an experienced system integrator.

With more than 130 AutoStore systems installed across a variety of industries, Swisslog has more experience configuring AutoStore than any other organization. Swisslog has also developed a broad family of proven pick station configurations for the AutoStore system and is pioneering the use of automated picking robots with AutoStore.

This paper draws from that experience to share best practices in configuring the system to optimize storage, throughput and scalability.