Keysight wins top analytics for electronic manufacturing in SBR Technology Excellence Awards 2022
It was recognised for its PathWave Manufacturing Analytics project.
Some of the macro factors driving electronic manufacturers to find ways to innovate and pivot include the increasing pressure on margins by material shortages and the resource crunch brought by the pandemic. In the day-to-day manufacturing out on the floor, any unplanned downtime and potential product quality incidents will have a costly impact on the bottom line if good parts are not shipped out as soon as they are produced.
Keysight’s PathWave Manufacturing Analytics (PMA), an Industry 4.0 big data advanced analytics platform, has been helping the manufacturers pivot. It enables actionable analytical insights on electronics test processes and systems such as the in-circuit and functional test systems.
These analytical insights add depth to the test process and provide a true deep real-time window into the manufacturing process capability, quality, and output.
According to the company, its data scientists and test and measurement experts worked closely together to develop the industry’s first accurate anomaly detection machine learning model. The project also addresses alert fatigue by scoring the anomalies to highlight only the most critical failures to the users.
To do this, it took account of massive dimensions of test measurement attributes. A prediction model of more than 95% accuracy can be achieved by the combined work of domain engineers and data scientists converting the graphical representation of the labelled model into quantitative features to train the PMA alert scoring model.
Keysight added that this proprietary PMA anomaly detection model had been another anomaly detection model in the market and confirmed with customers that it has successfully reduced approximately 90% of the less important alerts and progressively saved customers’ manufacturing costs and human resources allocations.
For this innovative project, the company was awarded with the Analytics – Electronic Manufacturing Award in the SBR Technology Excellence Awards, hosted by Singapore Business Review.
The annual awards programme highlights technological innovations, recognising exceptional companies in Singapore that are riding the digital disruption wave and leading the technological revolution and digital journeys of their respective industries.
In giving this award, the judging panel took into consideration three major achievements met by the company through this project.
First is that it brought potential savings up to $4m per Year per tester by saving five hours per month with a 95% yield and an estimation of 70% tester through a 30sec $800 test per board.
The second is that it was shown to have 100x faster Root Cause Analysis with PMA by preventing potential quality issues and saving approximately 40 engineering hours each month per tester.
Third is that it was able to address critical alerts by reducing 90% of the less important alerts which potentially hinder the implementation of Industry 4.0 that benefits industry advancement.
With the success of the PMA anomaly detection model that has benefited In-Circuit and Functional Test industries, the platform will expand its use cases horizontally and vertically to achieve even wider-reaching actionable insights.