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Manufacturing Management

Optimize manufacturing test cycle times using digital process signatures

Contributed by: Sciemetric Staff
June 17, 2020
Two engineers reviewing data at the production line

Stations with lengthy test cycle times bottleneck production. Before resorting to adding extra lines, maintenance or labor, consider if the test cycle time can be shortened without compromising quality. This blog post discusses how to perform this analysis using digital process signatures.

Set more effective control limits on production tests using digital process signatures

Contributed by: Sciemetric Staff
June 11, 2020
Image of Sciemetric Studio software with limit-setting data

Optimizing limits on your manufacturing test processes eliminates false failures and reduces the risk of giving bad parts a passing grade. This blog post discusses how to use digital process signatures to set more effective limits, more quickly, to produce higher quality parts, lower scrap/rework rates, and experience fewer recalls or warranty claims.

How the network edge can help your plant or industrial operation optimize cloud resources

Contributed by: Richard Brine - CTO
April 30, 2020
industrial data image

Many manufacturing and industrial facilities have chosen to recruit capacity from a public cloud service provider to help them manage their data. However, while the cloud is a relatively cost effective, simple to manage, and scalable solution to suit your needs, it can also create some other challenges. Learn more.

7 design considerations for an edge device meant for an industrial/manufacturing setting

Contributed by: David Mannila - Product Manager
April 9, 2020
Data center image

Sciemetric's Product Manager, David Mannila discusses the design considerations that should be reviewed to ensure edge modules have the physical characteristics and the functionality to reliably and cost-effectively perform as needed.

5 ways to improve your production line in 2020

Contributed by: Sciemetric Staff
December 19, 2019
Team at manufacturing line

Here are 5 tips to help improve your production line in 2020. We want to help manufacturers identify their problem points on the line and identify ways modern manufacturing technologies can be applied to start seeing improvements in the short-term—without a massive overhaul. 

Improve crimp testing with non-destructive methods

Contributed by: Sciemetric Staff
August 1, 2019
sigPOD on manufacturing background

In-process testing and digital process signature analysis eliminates the need for destructive pull-tests in crimp operations, while at the same time providing a near perfect degree of quality assurance that a pull-test just can't deliver. Learn how Sciemetric solutions improve crimp operations.

How to catch faulty fuel rail insertion with digital process signature analysis

Contributed by: Sciemetric Staff
July 25, 2019
app-note-cover

Tearing down an engine to find a problem when it fails an end-of-line test is costly and time-consuming. It’s much better to identify a quality issue upstream on the production line where it occurs. Learn how an automaker used digital process signatures to adjust their fuel rail insertion parameters to catch faulty insertions before they reach the end of the line.

A more reliable weld test through data, without the need for destruction

Contributed by: Sciemetric Staff
July 23, 2019
weld-app-note-cover

The traditional approach to testing weld integrity is often destructive pull-test, with its shortcomings. Perfectly good assemblies may be ruined, while faulty ones can still slip through and be shipped for use. With digital process signature analysis, however, all the metrics that identify problems can measured to catch defective parts.