Practical AI for Manufacturing Applications Solutions in Your Factory
The main goal of Machine Learning is to continue to drive down the cost of manufacturing through improving machine and line efficiency, optimising labour, and predicting outcomes more accurately.
LineView is currently working on Artificial Intelligence proof of concepts, such as these, to suggest potential actions, guided interventions and forecasts for better outcomes.
1. Task/SIC Review and Resource Allocation
When doing a tactical review, machine learning helps find the most beneficial area to focus. Knowing where to concentrate resources, time, and energy across a complex manufacturing facility requires complicated analysis.Machine learning can be your crystal ball.
Knowledge and experience are built into the machine learning algorithm using years of data which predicts the likely future, giving you the confidence to invest exactly to generate the most benefit.
2. Accurate Production Planning
Given a sequence of production requirements like production order and volume, Machine Learning will tell you what will most likely be achieved and by when.
Using information like on-shift teams, time of day, daily product SKUs, and historical track records, machine learning algorithms will generate a more realistic and accurate production planning based on proven data.
3. Tackling Abnormal Machine Behaviour
Machine Learning can alert technicians and operators to abnormal behaviour and guide them exactly where to focus on that machine. The algorithm generates a confidence level of that process or output being abnormal and will take what happened around that time and record all of the production variables.
Machine Learning can give the individual the knowledge that the machine is behaving differently than normal as well as provide context as to why. Faster, more informed insights reduce the likely impact on long term line performance, nipping problems in the bud before they escalate.