A semiconductor manufacturer wanted to predict product quality from machine and quality control data, but its first AI model was not accurate enough. See how physics-based modelling, with machine learning working on top, made the predictions reliable.
Advanced AI technologies and algorithms, big data integration and computational technologies will change the way drugs are designed, clinical trials are run, supply chains are optimized, and therapies are personalised.
The modern automotive industry faces dynamic changes driven by the need to adapt to global technological, environmental, and economic trends. Digital transformation in the automotive sector plays a crucial role in addressing these industry challenges. In this context, Product Lifecycle Management (PLM), empowered by digital transformation, has become an essential tool for implementing modern solutions […]
A real example of root cause analysis in manufacturing: machine learning linked unstable casting quality at an automotive plant to an HVAC outlet near the cooling zone.
Real-time manufacturing dashboards improve KPIs only when operators use them. See how a global maker of electrical accessories for automation turned shop floor data into a tool for production optimisation.
Explore the importance of eco-design for businesses and the environment. Learn how eco-design principles, from material reduction to recyclability, enhance sustainability, reduce costs, and support regulatory compliance, offering a competitive edge in today’s market.
A paperless shop floor only works when operators use it. See how a glass packaging manufacturer fixed low adoption of digital production reporting with a UX audit.
Machine downtime tracking improves KPIs only when downtime data carries context. A food and beverage manufacturer running semi-automated production lines already calculated availability, performance and quality from PLC data, yet its KPIs kept falling short. Once TT PSC correlated every downtime event with shift and operator data, the root cause became visible: unreported stoppages on […]
A predictive maintenance implementation at an aerospace and defence manufacturer with 70+ CNC machining centres shows why data collection and storage must come before AI/ML models.
Optimizing automotive production processes and managing complex supply chains present several challenges in the automotive industry. As the automobile industry advances, particularly with digital twin technology, automakers are seeking more efficient and agile manufacturing solutions to remain competitive in a fast-changing market. The historical evolution of motor vehicles has significantly impacted the automotive industry, especially […]
Industry 4.0 is the use of connected machines, real-time data and software to run a factory on facts rather than assumptions. Here is what it means for a plant with existing equipment, and where to start.
Sustainable product design encompasses a systematic approach that considers environmental and economic aspects throughout a product’s life cycle. Sustainability and environmental impact have become a fourth key performance indicator (KPI) in product development, joining the traditional metrics of time, cost, and quality. Environmental impacts Adopting a design for sustainability framework positions companies at the forefront […]
