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First Time Through (FTT) in Manufacturing: Formula, PPM, and Action Playbook
If your output looks healthy but rework keeps rising, your line is not actually in control. First Time Through (FTT) is the quality signal that tells you how much production is right the first time.
Many teams track FTT monthly. High-performing plants run FTT as a shift-level operating metric with clear thresholds, reason-code governance, and action ownership.
FTT definition and formulas
Use one definition across plant, line, and management dashboards.
FTT % = (First-time good quantity / Produced quantity) x 100
FTT PPM = (First-time defect quantity / Produced quantity) x 1,000,000
Supporting quantity definitions:
Produced quantity = Good + Rework + Rejection
First-time good quantity = Units passing all required checks without rework
First-time defect quantity = Units failing first-pass checks before any recovery
Formula hygiene rules:
Keep denominator logic identical across lines and models.
Do not merge first-time defects into rework-recovered totals for FTT.
If produced quantity is zero, return null and flag a data quality exception.
Add predictive checks for recurring defect patterns
Connect FTT trend to plan-attainment and labor reviews
Recalibrate thresholds by product family
Frequently Asked Questions
Q: What is First Time Through (FTT) in manufacturing?
First Time Through (FTT) is the percentage of produced units that pass quality checks on the first attempt without rework. It is a direct indicator of first-pass process capability and quality stability.
Q: How do you calculate FTT percentage?
FTT % is calculated as first-time good quantity divided by produced quantity, multiplied by 100. Teams should keep denominator rules consistent across lines and shifts.
Q: How do you calculate FTT PPM?
FTT PPM is calculated as first-time defect quantity divided by produced quantity, multiplied by 1,000,000. It is useful for detecting quality drift in high-volume production.
Q: What data is needed to make FTT actionable?
You need production facts (good, rework, reject), defect events (family, reason, remark), and governed master tables for line, shift, model, and reason code values.
Q: How often should FTT be reviewed?
Review FTT every shift for tactical correction, daily for trend and ownership tracking, and weekly for recurring defect-family intervention planning.
Operationalize First-Pass Quality with Infoveave
Connect production and defect data, govern reason codes, and act on quality drift before it impacts output and delivery.
This article was produced by the Infoveave Product and Solutions Team — specialists in Unified data platforms, agentic BI, and enterprise analytics. Infoveave (by Noesys Software) helps organizations unify data, automate business process, and act faster with AI-powered insights.