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.