Intelligent Manufacturing
It is the use of real-time analytics, AI and ML in industrial production processes in order to achieve optimisations in terms of increasing performance or reducing waste. The use of sensors in equipment (IIoT) for real-time process data acquisition makes it easier for companies to gain a 360° view of operations – from suppliers and supply chains, to equipment, processes and production practices, to final product testing and customer satisfaction.
Statistical Process Control (SPC)
Advanced Planning and Sequencing (APS)
Digital Twin
Artificial Vision
Synchronized replenishment (e-kanban)
Predictive Maintenance
Predictive Quality
Industrial internet of things (IIoT)
The Industrial Internet of Things (IIoT) is increasingly integrated with Manufacturing Execution Systems (MES), providing a connection between machines, sensors, and control systems. This allows for remote monitoring of operations, early detection of failures, and optimization of preventive maintenance, resulting in increased efficiency and real-time data-driven decision-making.
Statistical Process Control (SPC)
Statistical Process Control (SPC) enables real-time monitoring of the quality of manufacturing processes. By analyzing statistical data, variations and trends are identified, enabling immediate corrective actions to ensure the consistency and compliance of the final products.
Advanced planning and sequencing (APS)
Advanced Planning and Sequencing (APS) Systems are powerful tools for optimizing business operations and resources. With advanced algorithms, they minimize costs, reduce lead times, and improve the overall efficiency of operations. This dynamic planning capability provides a significant competitive advantage.
Digital Twin
A Manufacturing Execution System (MES) can replicate all production operations in real-time. By integrating data from the shop floor with management systems, it can offer an accurate digital representation, enabling predictive analytics and process optimization.
Artificial vision
Artificial vision has revolutionized inspection and quality control in industrial production. Integrating advanced imaging technologies, it allows you to make automated inspections in real time, detecting defects and ensuring product compliance.
Synchronized replenishment (e-kanban)
Synchronized sourcing (e-Kanban) modernizes materials management in industry. By automating orders based on actual demand, they reduce inventories and improve supply chain efficiency. This approach promotes more agile and efficient production.
Predictive Maintenance
Preventive maintenance is essential to prevent failures and reduce equipment downtime. By conducting regular inspections and scheduling the replacement of parts, companies ensure the efficiency and reliability of their equipment, increasing the safety of their workers.
Predictive Quality
Predictive quality uses advanced data analytics to predict and prevent quality issues before they occur, improving quality, reducing costs, and increasing customer satisfaction.