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
Finding trusted partners who share your company’s vision of an end-to-end factory of the future manufacturing ecosystem is the most important step towards success.
Of course, working with external partners poses potential security risks. Finding and vetting valued partnerships is vital in setting up long term collaborations.
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.