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Provides a real-time overview of ongoing production processes, allowing operators to select and manage work orders efficiently.
A no-code tool for designing and modifying production workflows, ensuring adaptability to changing manufacturing needs.
Uses machine learning and neural networks to detect patterns, predict anomalies, and optimize production processes with real-time insights.
A structured methodology for resolving complex problems, emphasizing corrective actions, root cause analysis, and long-term improvements.
Generates insights on efficiency, downtime, and defect rates using advanced data analytics and customizable reports.
A proactive risk assessment tool that identifies potential failure points in a process or product, linking them to control plans for real-time monitoring.
A root cause analysis technique that helps teams drill down into problems by asking "why" repeatedly until the underlying issue is identified.
Monitors production data in real time, applying statistical methods to detect deviations, trigger alerts, and maintain process stability.
Defines and documents key process control measures, ensuring that quality standards are met and maintained throughout production.