A top global cement manufacturer found that they were wasting product because they couldn't quality test early in their process. They turned to AI to solve the problem.

1. PRIVATE & CONFIDENTIAL
Early detection of quality
issues reduced wastage
by 8-13%.
DATAX > DEVELOPX > DEPLOYX
CHALLENGE
ACTION
A top global cement manufacturer found that they were wasting 18-
20% of their product due to the inability to quality test early in the
production process. The amount of Free Lime present in a cement
batch is a good indicator of quality, but they did not have a method
to test for lime percentages in time to correct their batches and
make the quality high enough for sale.
DATAX
CrowdANALYTIX used product composition data and production data from
the company to create extraction models and map them to parameters for
quality.
DEVELOPX
Several algorithms to predict Free Lime were compared, and the optimal
one was determined based on its potential to accurately predict quality
early in the process of production.
DEPLOYX
The top three models were deployed and delivered as an API for
integration with existing quality process systems. The models are now
continuously optimized by CrowdANALYTIX.
MANUFACTURING
PRODUCTION DATA
DATA USED
PRODUCT COMPOSITION DATA
1