QualityLine customer stories
Manufacturing analytics.
Results from the factory floor.
See how manufacturing teams use QualityLine to investigate yield losses, connect production data and focus improvement work. Explore the customer reports, the results they describe and the challenges behind them.
Manufacturing analytics case studies
The problem, the approach and the result
These summaries draw on QualityLine’s published customer interviews and case studies. Results describe individual implementations; the source and measurement context sit beside each story.
More customer experiences
Different processes. Shared need for clarity.
Remote manufacturing
Gilat
The case describes a rollout across three factories, connecting manufacturing databases for remote monitoring and investigation. It reports a 12% production-capacity increase in the first year.
Interview: Niv Tamir, AVP Operations. The starting capacity is not published.
Continuous improvement
Servotronix / Midea
Engineers used connected data and alerts to prioritize components and test stations needing attention. The case reports a 12% capacity increase within one year and describes ongoing work on yield-loss factors.
Interview: Ohad Shental, Quality Manager. The source does not publish the starting capacity.
Approach: pages 3–5. Result: page 6.
Battery separator production
AECPL
Agarwal Engineering Company moved from separate records and spreadsheet analysis to connected parameters, cross-correlation and remote monitoring. Consultant Philippe Rehm reported identifying two or three parameters associated with 90% of out-of-spec results.
This describes a diagnostic finding in the customer account, not a 90% reduction in defects. The measurement period is not specified.
Workflow: page 4. Finding: page 5.
Hear the customer perspective
General Electric · Customer interview
Bringing data together for analysis
“We were looking for a tool that would integrate all our data, analyse it and display it in an easy way.”
Remon Shekeib, identified in the published testimonial as Industrialization & Global Test Solutions Leader at General Electric in Canada.
Viscom · Partner application paper
Connecting inspection and process data
The July 2022 paper explores battery inspection data, manufacturing parameters and cross-correlation. It describes collaboration and proof-of-concept work, rather than a completed customer rollout with measured gains.
Read the Viscom application paper (PDF) ↗
Collaboration: page 7. Proof-of-concept discussion: page 10.
Applying the lessons
What could this mean for your factory?
Are these results a forecast for our production?
No. Each case reflects a particular customer, process and improvement effort. Start with your own baseline, data coverage, product mix and measurement period to define a useful evaluation.
Which story should our team start with?
For yield loss and unit-level investigation, start with STANLEY Healthcare. For data integration and production visibility, read Molex, Emerson or Gilat. Servotronix covers daily improvement work, while AECPL shows a process-manufacturing investigation.
What should we prepare for a product demo?
Bring one production problem, the metric you want to improve and a description of the available test, inspection or repair data. Agree how to measure the baseline and how engineering would validate an improvement.
Start with your production challenge
Explore the workflow behind the results.
Discuss your data sources, recurring failures and improvement priorities. See how QualityLine could support your team’s investigation and daily decisions.
