AI & ML Driven Intelligent Automation Solutions for Manufacturers

AI HUB represents the cutting-edge digital solutions of SCW.AI, seamlessly integrated with the various modules of our Digital Factory Platform. Designed to assist manufacturers with real-time decision intelligence, AI HUB leverages exceptional computational power to perform a wide range of shop floor tasks—such as scheduling, anomaly detection, and action assignment—with a level of precision that surpasses human capability by interpreting historical shop floor data.

In addition to offering generic AI solutions tailored for producers, SCW.AI, recognized as an certified R&D center, is dedicated to developing custom AI/ML models that address the unique challenges faced by our clients.

1. Automated Scheduling

Job shop scheduling is a complex mathematical problem that involves balancing multiple variables. Human capabilities alone often fall short due to limited computational power and the challenges of interpreting large volumes of historical data. This is where our AI HUB comes in with its Automated Scheduling algorithms.

Powered by AI, our scheduling algorithms continuously learn from historical data and ongoing operations to create optimized schedules. Scheduler considers all variables, and adjusts the schedule in real time with a single click—reducing costs by 20% and improving capacity by 50% compared to human only schedulers.

Furthermore, our scheduling algorithms address diverse business objectives to support agile manufacturing initiatives such as:

2. Anomaly Detection

Our Anomaly Detection system leverages advanced AI algorithms to monitor every aspect of the manufacturing process in real time. By analyzing data from various sensors and systems, the AI can identify unusual patterns that may indicate potential issues. Whether it is a machine operating outside its normal parameters or a deviation in product quality, the Anomaly Detection system alerts operators immediately, enabling prompt intervention.

In addition to real-time alerting, Anomaly Detection guides manufacturers toward optimal decisions with its digital twin capabilities. For example, if operators set a slower machine speed, Anomaly Detection can suggest an alternative machine calibration that increases throughput and overall equipment effectiveness.

3. Automated Action Assignment

Once an issue is identified by either Anomaly Detection or a worker, the next critical step is ensuring that corrective actions are promptly taken. Automated Action Assignment streamlines this process by leveraging AI-driven analysis.

The AI model analyzes historical data related to similar issues and automatically assigns the appropriate actions to the relevant team members or teams, along with a due date. This automation minimizes the time between issue detection and resolution.

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