The remote measurement and analysis of industrial performance is one of the most highly anticipated use cases among manufacturing companies. This use case, confirmed by a recent report by IoT Analytics (IoT Use Case Adoption Report), is a standard use case of our platform. It is the first and indispensable step on the path to operational excellence. It lays the foundation for resolving the most complex issues.
In a production environment where performance is not measured systematically and the gathering of information is often tedious, industrial IoT offers vital decision support for production teams and equipment manufacturers: accelerated performance analysis, an improved understanding of equipment behaviour, facilitated prioritisation of incidents to resolve.
How can significant performance differences in recurring production orders be explained? As production equipment and processes have become more complex, a wide range of potential factors come into play. The ability to identify the factors affecting performance exceeds the capacity of human analysis and requires advanced analysis technology.
The implementation of SMED techniques has become standard practice in industry, with the aim of reducing changeover time between series. By systematically measuring these times, the InUse platform facilitates the identification of the longest changeover times and can therefore improve production line availability. Furthermore, advanced analysis provides new perspectives that optimise the scheduling of production orders.
Find out how the systematic identification of deviant changeovers has enabled the Hellenic Dairies Group to reduce its average changeover time by 25%.