AMFG, a UK-based provider of workflow automation software for additive manufacturing, unveiled a new Holistic Build Analysis tool that allows manufacturers to instantly estimate how full a machine build is — without the need for nesting. This marks the latest addition to the company’s AI-powered software platform and will enable users to predict how cost-effective a part will be to produce.

Further expanding its auto-scheduling capabilities, AMFG’s Holistic Build Analysis tool uses machine learning technology to provide users with an alternative, virtually instantaneous, way to estimate the capacity of their builds without having to go through the nesting process.

Being able to predict the capacity of a machine build can help companies prioritize production jobs and streamline the production planning process. Currently, manufacturers must use nesting software to achieve this — a time-consuming process that can take hours or even days to complete.

With AMFG’s production management system, users can assign parts to a build, after which machine learning algorithms are used to generate an estimate of the build’s fill rate almost instantaneously. Given as a percentage, users can then use this data to prioritize the parts that should be produced next, for example, based on deadlines, machine availability or the optimal arrangement of parts.

About AMFG

AMFG provides automation software for additive manufacturing. Covering the entire additive manufacturing workflow, AMFG uses the latest in machine intelligence to ensure that companies can achieve highly streamlined and connected additive manufacturing processes.

For more information, visit www.amfg.ai.