Description
Welcome to the
i4QLRT Manufacturing Line Reconfiguration Toolkit! This tool is a
collection of optimization micro-services to evaluate different possible scenarios and propose changes in the configuration parameters of the manufacturing line to achieve improved quality targets. i4QLRT algorithms can be applied to develop machine parameters calibration, line setup, and line reconfiguration strategies.
The
objective of the i4QLRT is to increase productivity and reduce the efforts for manufacturing line reconfiguration through AI. This toolkit consists of a set of analytical components (optimization algorithms, machine learning models, etc.) to solve optimization problems in the manufacturing process quality domain, finding the optimal configuration for the modules and parameters of the manufacturing line. Fine-tune the configuration parameters of machines along the line to improve quality standards or improve the manufacturing line set-up time are some examples of the problems that the i4QLRT solves for manufacturing companies.
More information about the i4QLRT can be found
here.
I4Q
i4Q stands for
Industrial Data Services for Quality Control in Smart Manufacturing, and is an
European project which aims to provide
IoT-based Reliable Industrial Data Services (RIDS) to manufacturing companies. The Data Services are able to process large amounts of industrial data coming from cheap cost-effective, smart, and small size interconnected factory devices for supporting manufacturing online monitoring and control.
The i4Q Framework will guarantee data reliability with functions grouped into five basic capabilities around the data cycle:
- Sensing.
- Communication.
- Computing infrastructure.
- Storage.
- Analysis and optimization.
i4Q RIDS includes
simulation and optimization tools for manufacturing line continuous process qualification, quality diagnosis, reconfiguration and certification for ensuring high manufacturing efficiency, leading to an integrated approach to
zero-defect manufacturing.Check our
website to find out more about the i4Q Project.