However, this problem-finding process takes lots of time and effort, especially when it comes to long production runs. Aiming to improve time and effort consumption when searching for the flaw's reasons, Pioneer Machinery has developed the product history and trace back system.
time to collect all of the related information:
1 - 3 days ➟ 0.5 - 1 days
workers needed when gathering information:
2~3 people ➟ 1 person
without any delay
Optimization and increasing efficiency
Data mining has a great potential when it comes to optimizing production processes. Process engineers often try to adjust the parameters without having much clues or simply performing blind tests. With data mining they can refer to the correlation of parameters in order to adjust the parameters in a much more efficient way.
Through artificial intelligence and machine learning models we can now absorb massive amounts of data and perform different kinds of analysis which helps to understand the correlation between parameters.
Integrate with product history and
time trace back system
The correlation of parameters and product history in combination with our Time trace back system allows the decision makers and engineers to have a deeper understanding of the big picture of the production process.
data analytic time
several days ➟ a few hours
workers needed when gathering information
human effort ➟ software
Convenience in searching
data is stored in the database
in an organized and detailed manner.