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.
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.
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.
Real-time analytics can revolutionize decision-making providing immediate valuable insights to drive strategic actions. From optimizing timing for analytics to fostering seamless data sharing across organizational boundaries, uncover the key strategies for success in leveraging real-time insights. Don’t miss out on unlocking the potential of real-time analytics to streamline operations and gain a competitive advantage. Introduction […]
If you think OEE has no secrets to you and your plant maintain highest OEE results… think again. Harsh truth is that most manufacturing plants’ OEE land somewhere between 35 and 43%. They just don’t know about that.
You don’t have to replace your machines with the new ones to make your production „smarter” and more efficient. Your shop floor is a data mine, and digitization is the key to unlock its value.
Very often overlooked or accepted as-is due to being an integral part of the production – in times of crisis and cost-cutting, it can become a major factor that improves the bottom line of your organization. Where to look for significant energy savings to reduce energy costs? How manufacturers should focus on these goals to make an impact?
According to the German Federal Statistical Office, energy consumption by the industry for the production of goods hardly changed between 1995 and 2019. In 2019, it amounted to 3,874 petajoules. This means that it remains at the same level as in previous years. Germany plans to halve its primary consumption of energy by 2050, with the industry having to take part. In the era of the energy crisis, the drive to improve corporate energy efficiency is entering a new level.
In the manufacturing industry, efficiency is key to staying competitive and profitable. One way to improve efficiency is through data visibility. By having access to real-time visibility of the operational data throughout the manufacturing process, companies can identify bottlenecks, monitor production lines, and make data-driven decisions. In this article, we’ll explore how data visibility can help manufacturing companies improve their efficiency and ultimately their bottom line.
