INDUTRAX PSI FLS Fuzzy Logik & Neuro Systeme have entered a partnership to offer integrated software solutions to analyze business processes using location data and AI methods, to identify weaknesses and to visualize improvement potential in a comprehensible form. This ensures more transparency and higher process quality in production and logistics. Manufacturing processes become visible in real-time and, in addition, AI-supported optimization proposals are derived, leading to efficient growth and an increase in process quality.
The PSI FLS software products Qualicision and Deep Qualicision AI extend the INDUTRAX applications PRODUCTTRACKER and ASSETTRACKER with AI and decision support technologies. From raw location data, Deep Location Awareness is created.
At its core, the joint solution allows visualizing manufacturing processes in real-time and furthermore prepares AI-supported optimization proposals. The location data makes it possible to create a digital twin and perform a target/actual comparison of the production data.
With the joint software solution, location, identification, and sensor data from the shop floor can be transferred in real-time into relevant events for production control and can be processed and made available using AI methods. An example for this could be the entry of an AGV into defined areas. The Industrial Internet of Things (IIoT) is based on sensor technology as a source of machine data. But only by Qualitative Labeling and AI-based business process data analysis this data becomes valuable operational information that generates benefits for production control.
The introduction of the solution creates new growth for customers while ensuring the optimal use of existing resources and increasing efficiency. The careful use of resources also increases sustainability in production. At the same time, the self-learning data processing with AI ensures constantly increasing process quality.
The PSI subsidiary PSI FLS Fuzzy Logik & Neuro Systeme offers industrial artificial intelligence methods for learning process data analyses and predictive production optimization with Deep Qualicision. The self-learning decision support software Deep Qualicision is based on extended fuzzy logic and machine learning methods as well as other artificial intelligence methods. The focus is on increasing efficiency in process optimization as well as in the intelligent learning analysis of business process data. Wherever qualified decisions to be made. Deep Qualicision provides optimization and decision support. Examples are optimizations of production sequences in the automotive industry and in manufacturing companies in general, management of transport processes, optimization of operational processes in depots for buses and trams.
