MULTISCAN will exploit the potential of the AIDEAS AI technologies as a transformation tool to improve sustainability, agility and resilience of its customers providing AI-based industrial equipment. MULTISCAN aims to use the AIDEAS Machine Passport to conform large datasets consisting of labelled captured images, industrial variables and X-Ray inspection results collected during the use stage. Expected contributions of AIDEAS AI Solutions to the different stages of the product life cycle are described below:

MANUFACTURING phase: The main objective is to use the AIDEAS Fabrication Optimiser to optimise the assembly and quality control processes, supporting the agile manufacturing methodologies used currently in the factory with fast planning and sequencing tools. This will help the company make an efficient use of their human and technical resources while at the same time shortening the delivery dates of the production orders. Additionally, the AIDEAS Procurement Optimiser will be used to minimise component stocks and ensure material flows. [KPI19 -10%] [KPI21 -15%]

USE phase: Based on the datasets obtained through the AIDEAS Machine Passport, the objective is to automate the initial calibration of the lightning PCBs, learning the relationship between the information collected on customer premises describing the installation and its environment and the optimal configuration parameters of the PCB lightning board. The approach is to use the AIDEAS Machine Calibrator solution to calibrate the machine parameters, yielding shorter installation times and requiring no advanced skills nor training for the installation. Another objective is to use the AIDEAS Adaptive Controller to detect and correct errors in the set-up of the machine and the AIDEAS Quality Assurance time series forecasting features to predict the quality breakdown (quantity of each product category produced), from the information coming from the sensors placed in the machine, the surrounding environment, and other connected systems. Moreover, the labelled images in the datasets will be used to improve the performance of the machine learning models that perform the sorting and grading processes. The availability of large datasets will significantly improve the system resilience and the ability of the models to learn the properties of products under different conditions, allowing to work more efficiently with new varieties or under new seasonal characteristics. [KPI14 -20%] [KPI25 -75%]

REPAIR/REUSE/RECYCLE phase: The AIDEAS Smart Retrofitter will be used to improve the retrofitting of components, allowing to effectively detect components that need to be replaced and facilitating the inspection process in decommissioned equipment. The AIDEAS Prescriptive Maintenance can use the AIDEAS Machine Passport datasets to estimate the remaining useful life (RUL) of mechanical components and maintenance plans adapted to the individual characteristics of the machine. [KPI4 +10%] [KPI17 -15%]

DISCOVER MORE ABOUT MULTISCAN