Monitizer^® | PRESCRIBE employs advanced machine learning and cloud computing horsepower to spot links between quality problems and process parameters. From sand grain size to pouring cup level, it analyses data from across the entire moulding line.

Automatically analysing historic production and quality data, it learns from past mistakes and corrections made by your own experts. From that analysis, Monitizer^® | PRESCRIBE finds the optimal process settings and tolerances for each casting and process.

"Monitizer│PRESCRIBE first test results from 4 different patterns showed a scrap rate reduction of average 57.2% - we are truly amazed by these results. We will continue to use the prescriptions our self to re-produce the same good result from the test and cannot wait to implement prescriptions for the rest of our patterns and see further scrap reduction." 

 

Mr. Shaung, Director of informatization and digitalization, Huaxiang, China 

"Monitizer│PRESCRIBE optimises the entire process to reduce scrap - that was exactly what we were looking for. The scrap rate is staying at the lower level and actually still dropping slowly, so we have seen a reduction and then a stabilization."

David de la Cruz Chief Quality & Information Officer, Condals Foundry, Spain

"The results of the MONITIZER | PRESCRIBE first test showed an uplift of 66.6% and 86.9% respectively for the two different patterns. We are very satisfied with these results. We are particularly astonished by the excellent results of the pattern that showed 86.9% uplift, since we had been unable to reduce the scrap rate for this pattern before, no matter what measures we had taken."

Mr. Junichi Morikawa President, Morikawa, Japan