The consumer goods industry sector includes the FMCG (fast moving consumer goods) and consumer electronics as well as home appliances and textile products.
The production of consumer goods is strongly demand- and output-oriented as well as cost-oriented. The mass production of consumer goods needs to run on a high level of productivity and technical availability. Fully automated production lines, e.g. for filling and packaging, are just as widespread as rubber and plastic production, e.g. by blow molding, injection molding or extrusion.
The plus10 tools Shannon® and Darwin actively optimize fully automated consumer goods production operating in a 24/7 mode. Also existing production lines can be equipped with our AI tools (Brownfield integration).
Shannon®, the operational shopfloor assistance, provides situational problem-solving suggestions for the employees at an automated production line. The tool thus forms a continuously operating optimization control loop based on high-frequency PLC data. Shannon® provides situational contextual and expert knowledge about problems and their solutions mobile in the app at any time for the entire staff on the shopfloor. This significantly reduces downtime (mean-time-to-repair) and the spread of productivity between different shifts.
Darwin, the Machine Performance Finder, offers several intelligent functions to identify concrete optimization potentials of an automated production line during operation. In this way, it significantly increases the performance level of the machines.
Darwin Machine Benchmark continuously generates technical recommendations for reducing the cycle time. This also provides maintenance with an early warning system at the function or component level to prevent unplanned machine failures and to always operate each machine at its optimum.
Darwin Bottleneck Detector continuously detects the bottleneck in a linked production line at station level during operation and thus provides relevant information for effective optimization at the bottleneck.
Darwin supports productivity optimization in the field of consumer goods by optimizing the cycle times of cyclic production machines, like injection moulding or extrusion in e.g. white appliance production or e.g. in household products production.
Conception and realization of a high frequency big data infrastructure and data mapping for injection moulding machines as an enabler for subsequent machine learning modules.
Implementation of several data interfaces to each controller
„plus10 established a high-frequency data infrastructure for our injection moulding machines. The collaboration also included a virtual component tracking system to continuously and automatically link all process and subsequent quality data to a product. I was very impressed by the expertise and reliability of plus10.“
Director R&D, Freudenberg Home and Cleaning Solutions