Overview
Robotic bin picking automation can significantly increase productivity by enabling robots to locate, pick, and transfer randomly piled parts directly from storage bins to downstream processes. When applied to the right parts and production scenarios, bin picking systems can reduce manual labor, minimize dunnage, and lower overall operating costs. However, not every application is a good candidate for this type of automation.
Successful robotic bin picking projects begin with a clearly defined problem and a well-articulated automation vision. Qualifying the part based on factors such as geometry, material, surface finish, and variability, is critical to determining feasibility. Equally important is evaluating the economic considerations, including throughput requirements, labor savings, and return on investment (ROI).
This white paper provides a practical framework for assessing robotic bin picking opportunities. It guides manufacturers through part qualification criteria and the financial factors that influence system justification and implementation.
Download now to learn how to determine if your parts are suitable for robotic bin picking and how to accurately evaluate ROI for this powerful automation solution.
