Process optimization of glassworks with AI

Purpose and goal

The project aims to produce a flow chart of glass process and brake down to elements and to enable a continuation of the project. From the flow chart the variables that will affect the quality of the glass will be identified. Methods to measure and effect these will be identified or developed. The results will be analysed with Artificial Intelligence (AI) the later implement in the factories. The project succeeded in these activities.

Expected results and effects

The Project results are expected to inspire and led to improvements and understanding for upcoming process optimization of glass factories. The big effects are more particulate work with the continuation of the project among other things: spreading the knowledge about the project and about AI in general, what technology works with the older analytics equipment at the factories and compile the data in a system.

Planned approach and implementation

The project started with a workshop to both cerate a common goal and camaraderie in the project group and inform about the problems and technology of glass production. The Workshop had a good effect and created cross-organisation collaborations. New measuring was initiated with installation of new equipment. The hot environment created problems with installation and limits it to the down period when the crucible is changed. The data was manually collected and compiled and should be automated in the next project. Data analysis has been executed but needs optimisation.