Pillar
Manufacturing Engineering
Professional experience
Case studies
High-Volume Manufacturing Scrap Reduction
Signify · Manufacturing / Quality
Structured root-cause analysis and statistical process control on high-volume production lines, cutting scrap 15% and holding it through control plans rather than operator vigilance.
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Production Equipment Run-Off & Acceptance
Signify · Equipment / Quality
Translated an equipment specification into measurable acceptance criteria, ran vendor run-off, dispositioned a punch list, and held buy-off until process capability was demonstrated.
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How the work is structured
Improvement is a sequence, not an intervention
- Quantify the loss
Scrap, downtime, changeover or utilization — in units and dollars, from the system of record.
- Segment before theorizing
By line, shift, tool, material lot and part number. Segmentation usually eliminates most candidate causes for free.
- Verify the measurement system
If gauge or data capture cannot resolve the effect, nothing downstream is trustworthy.
- Establish the true root cause
Fishbone to narrow, 5-Why to deepen, then a designed check against process data.
- Change the process, not the vigilance
Tooling, parameter windows, fixturing, standard work — something that holds without supervision.
- Prove it statistically
Control charts and capability before and after, over enough production to be meaningful.
- Write it into the system
PFMEA, control plan, work instruction, inspection criteria and the reporting that flags drift.
Related
Equipment acceptance is where manufacturing engineering and quality engineering meet. If you are reading this from an equipment or infrastructure perspective, the run-off and acceptance case study is the closest professional analogue to a factory acceptance test, and the liquid cooling skid study extends the same discipline to mission-critical cooling equipment.