Artificial Intelligence in Manufacturing
applications from the world of manufacturing
Artificial Ingelligence (AI) already contributes to diverse challenges in manufacturing at the shop-floor level. We have collected a few use-cases which nicely show details about challenges and related solutions.
The Intelligent Planner
an application for planning production
Production planning is an exercise which today is still mostly done with "board style" approaches. Key benefits of AI in this application scenario is to handle data not by strict analysis but to use data for the detection of tendencies and non-typical events among other information of interest.
The Cyberphysical Part Observer
an application for tracking part properties
Monitoring of part properties throughout the production chain becomes a challenge once products become complex. This application demonstrates the benefits of using camera systems in combination with CNNs to ensure proper production chain functionality.
RobnAI: Empowering Robotic Design
through AI-Driven Optimization
This application demonstrates the integration of AI-driven design tools to optimize robotic components, achieving structural efficiency, reduced material usage, and lower production costs through the AIRISE–I Know How collaboration.
MCCI | Hackathon
Challenging an Industrial Challenge
The MCCi Hackathon brought together industrial partners and AI experts to rapidly prototype solutions that improve shop floor performance. The collaborative experiment demonstrated how AI can enhance OEE, reduce waste, and support operator well-being in real-world manufacturing settings.
D-TASE: AI-Driven Efficiency and Quality in Textile Manufacturing
AI-based Early-Stage Defect Detection in Fabric Rolls
The D-TASE experiment helped a major Turkish textile manufacturer optimize energy use and reduce waste in garment production. By applying AI to detect flaws early and streamline operations, the company achieved sustainability gains and improved product quality.
AI4aMOST: Smart Resource Optimization in Natural Ingredient Production
AI for Agile Manufacturing of Organic Synthesis & Extractions
The AI4aMOST experiment supported CEAMSA, a natural hydrocolloids producer, in reducing water and energy usage during pectin production. AI-driven process optimization enabled the company to improve sustainability without compromising product quality.
MCCI: Enhancing CNC Machining Performance with AI Monitoring
Monitor & Control system for Chatter identification
Through the MCCi experiment, CNC Solutions leveraged AI to optimize machine utilization, reduce scrap, and improve working conditions. The result was a more efficient, sustainable, and operator-friendly manufacturing process.
AIMODO: Accelerating Eco-Friendly Product Design with AI
Artificial Intelligence assisted Mold Design Optimization
The AIMODO experiment enabled Plus Science to accelerate product development and reduce material use in its eco-friendly STEM kits. AI-supported design tools helped cut mold requirements and significantly shorten design time.
AI4CHEESE: AI-Guided Recipe Optimization in Traditional Cheese Production
AI for enhanced cream cheese recipe generation supporting improved efficiency and waste reduction
The AI4CHEESE experiment supported KEFIS, a Greek cheese producer, in optimizing traditional recipes with AI. By fine-tuning process parameters, the company reduced energy and water consumption while maintaining product quality.