Artificial intelligence has revolutionised manufacturing by providing tools to generate insights and value from existing data, helping manufacturers optimise operations, reduce costs, and improve product quality.

Elisa IndustrIQ has been at the forefront of this revolution, developing a portfolio of AI-powered solutions that empower manufacturers to unlock the value hidden in their existing data and processes, enhancing their competitiveness in today’s dynamic markets.

Here are some examples of how Elisa IndustrIQ’s AI-powered solutions can help manufacturers achieve greater success:

1. ML-Powered Anomaly Detection for Semiconductor Manufacturers

Elisa IndustrIQ’s joint effort with camLine has led to the development of ML-powered anomaly detection solutions for semiconductor manufacturers. This solution streamlines quality control processes, swiftly identifies and addresses production issues, and boosts overall manufacturing efficiency. The adaptable deep learning model minimises design analysis work and showcases operational excellence.

2. Enhanced Demand Sensing for Improved Supply Chain Management

Elisa IndustrIQ’s collaboration with sedApta has led to the development of enhanced demand sensing solutions for customers, empowering them with accurate demand forecasts by integrating both historical data and external factors. This solution uses advanced machine learning algorithms to consider variables like fuel costs, annual festivities, and global scenarios such as pandemics. Customers benefit from more precise predictions, better decision-making, and improved supply chain management.

3. AI-Enhanced Bill of Materials Optimisation for Electronics Manufacturers

Elisa IndustrIQ’s collaboration with CalcuQuote has led to the development of AI-enhanced bill of materials optimisation solutions for electronics manufacturers, addressing supply chain challenges in the electronics sector by optimising component selection and reducing lead times. It utilises sophisticated machine learning algorithms to identify patterns and relationships, streamlining part numbering and inventory management, leading to significant cost savings and efficiency improvements.

4. AI-PROFICIENT: Revolutionising Plant Productivity

An R&D project combining AI, IIoT and augmented reality to enhance plant productivity, created together with TenForce in collaboration with INEOS and Continental France, offering early fault detection and prediction of quality problems, digital twin-based simulation, transparent decision-making and optimised control, and personalised shopfloor assistance with XR and conversational interfaces for connected workers.

Elisa IndustrIQ’s powerful portfolio of AI-powered solutions can help manufacturers unlock the value in their existing data, improve efficiency, reduce costs, and achieve greater success. By harnessing the power of AI and advanced analytics, manufacturers can optimise production schedules, reduce waste, and improve product quality, all while increasing efficiency and speed to market.