argemas MES

AI-supported MES: what AI does in argemas

In the argemas Manufacturing Execution System, artificial intelligence and machine learning are used in the production functions below. Each item links to the page that describes it in detail.

• AI-supported assignment optimization

  Evaluates real-time operator productivity and quality data, operation-similarity classification and operation difficulty levels together, and suggests the line balancing. When an operator changes mid-shift, it re-optimizes the line setup.

  Assignment optimization module

• AI-based advanced planning and scheduling (AI-APS)

  Decides which order runs on which line, on which date and in which sequence, using recorded line efficiency per product, quality results and setup times. Re-optimizes the schedule on a new order, due-date change, capacity loss or line stoppage.

  AI-APS

• End-of-day output prediction

  Using machine learning, live quantity reports for operations show how many units each operation will produce by the end of the day if things continue this way, so measures can be taken before bottlenecks form.

  Big data and AI applications

• Predictive maintenance

  Analyzes analog machine data (vibration, current, temperature) from @rgeROVER and @rgeHYPATIA devices with machine-learning models. When an anomaly is detected, it assigns a maintenance task to technical service automatically.

  Predictive maintenance module

• AI Layer

  Lets users ask production questions in natural language. Forecasts order delivery and the monthly target, and flags delay and breakdown risk with its evidence. Work orders, maintenance requests or plan changes start only through an authorized role's approval workflow.

  AI Layer