Get a better sense of what is coming and act on it now
Predict defects and downtime before they happen.
In-line Defect Prediction
No manufacturing line is finished without testing. But today, quality feedback is generally not received exactly until then, the testing at the very end of the line.
What if you could predict defects in the products, recognizing issues to your processing window before it affects yield? Specifically, what if you could predict it before doing the most expensive, time-consuming, and irreversible process steps that lead to high attrition or scrap?
In many cases, it is possible. How? The quality data you already have can be classified against the processing conditions used upstream when this data is also captured and made actionable with an Arch System. Seeing these correlations with a human analyst can be infeasible due to the magnitude of data to be interpreted and the often subtle variations. This is where machine learning on top of standardized Arch data allows you to act.
Bring AI to your manufacturing line today.
“We’ve been talking about this a long time, but now we’re starting to act on it. Arch is helping predict defects upstream. Our work so far shows that attrition may be reduced by up to 33% as well as reducing the capacity needs on our downstream testing machines by only scanning parts predicted to fail inspection.”
– Engineering Manager, Electronics Manufacturer
Quality Prediction Models
Can a sewing machine predict the quality of the sewing job done on it? With Arch, it can. Our POD-1C devices can read the motor encoder of an industrial sewing machine, derive stitches and seam data from the voltage pulses, and broadcast stitching patterns that can be classified against the quality of the job as well as analyzed for anomalies. So as soon as an operator finishes sewing a piece, you can answer with red/yellow/green ‘was it well done?’.
Your legacy machines are no different. Whether a press where force provides a signature of the quality of the job or an oven where the actual temperature profile is the key to a good bake, what’s missing is the standardized collection of ground truth machine data correlated against outcomes. Arch’s analytics team can work with you to identify what quality vs anomalies means for your organization and how to design proper data collection and analysis to predict and improve quality.
“Look at the seam in your shirt sleeve. Does it pull out when you tug on it? How hard do you have to tug before it does? That can be predicted in real-time from machine and product data. If quality is a driving factor of your business, this capability is a game changer.”
– IT manager Textile Manufacturer
The idea of Predictive Maintenance is to understand, based on data, when something is going to break down before it happens. On one hand, this prevents throwing away parts or machines that have perfectly usable life left. On the other hand, it allows you to prevent unplanned downtime by identifying and then repairing or replacing machines or parts that have worn out faster than expected.
Arch is your partner to implement affordable, standardized data collection for machine cycles, downtime reasons, and performance anomalies, building up an easy-to-understand and actionable record of machine lifetime that can be translated into practical predictive maintenance. The end result can be over 10% saving on yearly CAPEX, which for many cost-conscious manufacturers is transformational.
Transform your raw machine data into insights with machine models and digital twins. Deploy these models on the cloud or the edge to maximize performance.
View and act on insights with Arch’s web and mobile dashboards or build your own with custom dashboarding or integrations to great 3rd party visualization tools such as Tableau and Thoughtspot.
Edge Server and Cloud
Manage your data with powerful and standardized Edge and Cloud servers, putting the power in your hand to maximize security and benefits. Unlock the value in your data by loading it into your organizations existing systems or 3rd party tools.
Analyze your data, both Arch-generated and existing, and elevate your current workflows from reactive to predictive by leveraging artificial intelligence and machine learning.
Andrew Scheuermann, CEO and Cofounder of Arch Systems, was an invited speaker in session ET4 on Moving AI into the the Physical World with Industrial IoT Systems. Find out more about the Sensors Expo 2017.
American Embassy in Islamabad invites Arch CEO, Andrew Scheuermann, for 11-stop speaking series in Pakistan
Andrew Scheuermann, CEO and Cofounder of Arch Systems, was invited by the American Embassy in Islamabad for an 11-stop speaking series across Pakistan. He visited top universities, incubators, and companies in Islamabad, Lahore, and Karachi to share about entrepreneurship and early stage finance. Andrew gave talks at the National Incubation Center, the Islamabad Women’s Chamber of Commerce, Plan X, UET Lahore, Beaconhouse National University, LUMS, the Institute of Business Administration in Karachi, the Nest i/o, and more as well as being featured in numerous newspapers and radio shows.
Arch Systems invited as special envoy to Austria to partner with major companies in the German-speaking (DACHs) world
Andrew Scheuermann, CEO and Cofounder of Arch Systems, represented Arch in the ALPS-6 Program. Arch was invited by the foreign ministry of Austria as one of three American companies amongst a special envoy of up and coming companies from around the world. These companies met with top Austrian and German companies in the region to talk about Industry 4.0 and the future of technology.