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Source | Plataine

Building on its work on business AI for advanced manufacturing, Plataine (High Point, N.C., U.S.) has released its suite of , designed to address the complex challenges faced by advanced manufacturers. These intelligent, connected and interoperable agents offer users a boost to their factory floor and supply chain productivity.

The AI Agents suite intends to address a wide range of complex workflows and manufacturing challenges, including day-to-day operational scheduling and execution — Able to Promise, Equipped to Deliver, Materials Optimization and Allocation, Tools Management, Supply Chain Integration and others.

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Plataine provides an example of how this system could work in a composites manufacturing facility: “Plataine Scheduling Agent (A) communicates with Plataine’s Materials and Tools agents (B) at the customer/OEM site. Material Agent will suggest a pick list with relevant materials based on their ETL and expiration date. Same for Tools Agent. The scheduling agent will create the most optimal and practical schedule based on results received from other agents and systems.”

Gain actionable insights to automate your composite production with this webinar by Plataine on Dec. 10^th at 11 a.m. ET.

All agents can operate either in an autonomous or semi-autonomous configurable modes, orchestrating decisions and operations among themselves, with other enterprise AI Agents and with the various members of the production team, from senior management to floor operators. Each Agent is set to optimize its own tasks, and the suite is operated in an orchestrated manner, balancing multiple optimization goals and weighing the associated tradeoffs according to business priorities.

Integrated with Plataine’s Supply Chain Connectivity Manager, the AI Agents are capable of operating across the supply chain, thus automatically coordinating operations between suppliers and customers, and escalating exceptions to the team as needed.

Plataine’s enterprise-grade of Agents support multiple personas and complete workflows, while integrating data from a range of ERP, MES, PLM and CRM systems, machine and sensor data, and user input to address complex challenges on a large scale, automatically managing and optimizing more than 50,000 production tasks in real time.