Set Up and Optimize Manufacturing Tests
Use your process data to eliminate guesswork and trial-and-error during test set up and access the information you need to continuously optimize your tests to reduce failure rates, improve cycle time, boost production, and more.
Set up your manufacturing test with confidence—and continue to optimize and improve
Applying solutions to your line to measure, collect, and analyze your part production data gives you the insights you need to set up your station quicker and with more accuracy—and continually optimize your test stations to boost quality, throughput, and efficiency.
Using a production test and monitoring system and data analytics, you don’t need to rely on manual methods of trial-and-error to set up your test and establish test limits using piles of spreadsheets and manual calculations. You will have the real data and visual tools to compare known good parts to bad parts and fine-tune your processes.
How Sciemetric solutions help manufacturers:
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Set up test quickly and confidently with data-driven insights
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Evaluate the effectiveness and efficiency of a process or test
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Analyze and adjust test limits to make better parts
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Compare and trend information across stations to determine variations
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Overlay current or historical process signatures (waveforms) to quickly spot anomalies
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Use data to decrease cycle time, reduce bottlenecks—without compromising quality
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Re-process and analyze part data offline for continued optimizations
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Visualized waveforms make it easy to identify problems with your test setup and how to improve
Sciemetric’s waveform data format, also referred to as sensor curves or any X versus Y data plot, makes it easy to analyze your test data to set up and refine your testing. Consider this example of how waveform data was used to identify failures previously missed:
A manufacturer suffered from a high failure rate with the end-of-line test for an electronic throttle. Despite throttle components having passed every quality check up to that point, some 200 engines were facing rework—a significant repair cost.
By analyzing the digital process signatures captured during upstream vacuum testing (see image), quality engineers determined that only total failures (#2 in this image) were being caught. Why? Because only start and stop pressures were used to determine pass/fail in the test (as indicated by the arrows), some defective throttles were still passing the test (#3 in this image). These subtle failures were enough to be causing problems at the end of the line.
With this insight, test algorithms and limits on upstream test stations could be adjusted to ensure only quality parts passed. This reduced the manufacturer’s failure rate to 0.07%, or 10 engines a month—increasing overall output by 170 engines per month!
Optimize Your Tests From Day One with Smart Solutions

Set up, refine, and evolve your manufacturing tests with precision. Sciemetric gives you the tools to measure what matters, analyze results, and take fast action—from initial setup through to continuous optimization.
Process Monitoring & Measurement
sigPOD captures critical data at the station level to help you eliminate guesswork during test setup. Get immediate insight into your tests, detect defects early, and gather data for process optimization.
Data Analysis & Continuous Improvement
QualityWorX provides the analytics engine to dig deep into test data. Visualize trends, compare results across parts, tighten limits, and fine-tune performance to drive quality and efficiency—even as your line evolves to handle new parts or tighter tolerances.
Stop guessing! Save time and money using your data to set up and optimize your test stations. We can help!
Optimizing Your Line Drives Real Results
Optimization saves manufacturer $617,000/year
With Sciemetric, a manufacturer of small engines reduced the number of stations for its carburetor leak test stations from seven to four. The cost of this investment amounted to $200,000, but the annual savings added up to $617,000. That yielded a return on the investment in four months.Reduce cycle time
Manufacturer uses Sciemetric technology to reduce cycle time from 5 minutes to 115 seconds – while boosting Gage R&R. READ THE FULL STORYAchieve 4x faster cycle time
Manufacturer leverages Sciemetric technology to achieve 4x faster cycle time. READ THE FULL STORYReduce failure rate
Manufacturer uses manufacturing data to create additional yield of 170 engines/month. READ THE FULL STORYEnable Continuous Improvement and Optimization of Your Quality Tests
See how using QualityWorX can help you use the test and process data from the production floor to improve productivity.