How AI Can Boost Predictive Maintenance In Manufacturing
How can Artificial Intelligence be used for predictive maintenance in manufacturing? New software technologies are helping business operations.
A customer recently approached me asking about putting their Dynamics NAV database into Azure but they were concerned about their connection speeds in their office (a contended broadband line).
Having looked at the available information from Microsoft the only information I could find was on blogs dating back to NAV 2009, which were quite generic. They did however make the useful point that if you’ve got high latency then it does have a major impact on the speed of the system (go figure).
I was a bit more interested in absolutes though, so decided to do some testing of my own. I downloaded a fantastic piece of software called NetBalancer (www.NetBalancer.com) that allows you to both monitor and manage your connections.
Having installed the software (and rebooted my machine!) I set it to just show the results from the Dynamics NAV Client (2016 in this case) installed locally on my PC. I then proceeded to carry out some basic tests:
The basic information that I gleaned from the test is:
Of course, the amount of data that is transferred will be dependent on things like the size of the images in the document (don’t make them massive!), the amount of lines in the document and the quality of the code in the report. Also, this simple test was predominantly downloading and viewing data as a typical user would. If you were to upload a file (such as through RapidStart) you would see a hit on the upload figures.
However, as expected the actual amount of data being passed to the client is minimal and unless several users attempt to print a report for the first time at the same time then day to day use is unlikely to be an issue even on fairly restricted bandwidth.
How can Artificial Intelligence be used for predictive maintenance in manufacturing? New software technologies are helping business operations.
Summarising technology changes for manufacturing companies in 2023 and what that means for 2024 such as artificial intelligence and industry 4.0
Manufacturing, Warehousing and distribution company Colorlites implements Business Central ERP with Dynamics Consultants in a phased approach