Find out what your existing records already tell you
A review of your accumulated quality data, often clarifying a problem before any new equipment is considered.
Back to homeWhat this analysis delivers
You will receive a clear picture of which defect types recur, whether they cluster by shift, line, material lot, or season, and which are currently caught later than necessary — often without any new equipment being required at all.
A familiar starting point
Quality records tend to accumulate in spreadsheets or a quality system without anyone having the time to look for patterns across them. Useful signals about recurring problems can sit unexamined for years, even though the answer is often already there in the data.
How we approach it
We work directly with your existing records, looking for clustering across shift, line, material lot, and season. The goal is to surface patterns that are already present in the data rather than to introduce a new detection method before it is needed.
What the three weeks look like
Data receipt and initial structuring of your records.
Clustering analysis across shift, line, lot, and season.
Report writing with a shortlist of checks worth moving earlier.
¥22,500
This covers the full three-week scope from receipt of data through to the written report. No new equipment or additional data collection is required for this service.
- Written report on clustering patterns found
- Shortlist of checks worth moving earlier in the line
- No site visit required
How findings are measured
Clustering is assessed statistically against the fields present in your records — typically shift, line, lot, and date. Findings are reported with the underlying counts shown, so you can verify the pattern for yourself.
Where we stand
If your records do not show a clear pattern, the report will say so rather than manufacturing a conclusion. An initial conversation about whether this analysis fits your data carries no obligation.
Getting started
Reach out through the contact form, and we will confirm the record format and fields needed before you send the data over.