Supplier Quality, Development & Audits calculator
PPAP Review Workload Calculator: Wave Hours Against Capacity
Size a PPAP wave in the hours review really spends. Enter packages, first-pass hours each, the expected resubmission share and available hours; total hours, effective loading and headroom come back.
What this calculator does
- Size a PPAP wave in reviewer hours, loaded for resubmissions, against the deadline's capacity.
Formula used
- Reviewer hours = submissions × hours per submission × (1 + resubmission rate)
- Effective hours per submission = required hours ÷ submissions
- Share of capacity = required hours ÷ available hours × 100
- Hours remaining = available − required
Inputs explained
- PPAP Submissions in the Wave: Packages due against one approval deadline.
- Review Hours per Submission: First-pass hours per package at this wave's submission level.
- Resubmission Rate: Share expected back for a second review.
- Reviewer Hours Before the Deadline: Focused review hours available before the deadline.
How to use the result
- Best suited to staffing review for a launch wave, sizing an engineering-change batch, pricing a lower resubmission rate.
- Hours are not a schedule; arrivals can still stack into the deadline's final week. A single per-package figure smooths over the hardest packages.
Current U.S. benchmarks
- U.S. manufacturing runs at 75.7% of capacity (Federal Reserve, Aug 2026). New factory orders are up 8.5% year over year (Census).
Common questions
- How is PPAP review workload calculated? Submissions times review hours per package, times one plus the resubmission rate. Thirty-five packages at six hours with 30% expected back is 35 × 6 × 1.3 = 273 reviewer hours, 85% of a 320-hour capacity.
- How long does one PPAP review take? It depends on the submission level. A Level 1 warrant is minutes, a Level 2 package an hour or two, and a full Level 3 package four to eight hours done honestly.
- Why load for resubmissions? Because first-pass approval is the exception in a launch wave. Incomplete results, missing studies and unsigned warrants send 20 to 40% of packages back, and each return is close to a full re-review that must be staffed.
- What happens when the wave exceeds capacity? One of three things, and only two are decisions: add reviewers, split the wave with staggered dates, or let reviews become signature passes. The third is how launch escapes are born.
Last reviewed 2026-10-01.