Type:
On-Floor Seminars
Description:
For a variety of reasons, including labor shortages in many markets, interest in warehouse robotics remains very high.
Companies now have a wide and growing array of hardware choices, including Autonomous Mobile Robots (AMRs), various goods-to-person and dense storage systems, robotic picking arms, and more.
But capabilities on the software side of the automation equation are arguably making even greater progress, powered by a new generation of technologies that is revolutionizing fulfillment performance.
In this fast-paced session, we’ll explore the various applications for use of AI, ML and simulation in warehouse robotics and automation, detailing how these advanced, new-to-market capabilities are delivering enhanced productivity, throughput, and flexibility.
These new capabilities include:
- Simulation-based design and “what if” scenario analysis to determine the right mix of robots and associates
- Synchronization of robots and humans in order picking execution
- Use of AI/ML to optimize the release of work to DC floor, driven by continuous improvement
- The ability to orchestrate the flow of orders across heterogeneous automation types and vendors to maximize total throughput
In total, these new capabilities represent a breakthrough in the warehouse automation sector.
Please join us to find out how.
Key Takeaways:
- How use of simulation improves fulfillment decision-making across multiple time horizons
- The fulfillment process areas where AI/ML can be best applied
- Why resource synchronization is key to AMR success
- How workload balancing drives productivity gains
Product Category:
Robotics