Serial Manufacturing Risk Model — Satellite
SMR — Serial Manufacturing Risk Model
v 4.2 · Calibrated against satellite production programs · n = 9
EPSILON3 / SATELLITE MFG
Production DiagnosticDOC. 026 / VARIANCE

Eight satellites this quarter.
Are they actually identical?

Serial manufacturing risk doesn't compound from the units that fail acceptance — it compounds from the ones that pass with quiet variance from the procedure of record. Plug in the production profile. The model returns build-rate slip, unit-to-unit variance from procedure inconsistency, and defense-customer audit exposure. Benchmarked against the satellite manufacturing programs running on Epsilon3. The same diagnostic the discovery call opens with.

SECT. 01
Inputs · Production Profile
CUSTOM CONFIG
CH-01
Active Production Sites
2
MAITE · cleanroom · final integration
1246
CH-02
Weekly Build Rate Target
1.0/ wk
Satellites delivered to acceptance
0.1124
CH-03
Platform Generation
Procedure churn driver
CH-04
Manufacturing Team
280FTE
Authoring · executing · QA
40200500800
CH-05
Defense / Gov Customers
5
Independent audit chains
04812
Reference Profiles ▸
SECT. 02
Output · Manufacturing Risk Forecast
UPDATED --:--
Build-rate Slip
Production weeks lost per quarter
3.2 wk
Material exposure. Procedure rework and revision-control overhead are eating into delivery cadence.
Unit-to-Unit Procedure Variance
Non-trivial as-built drift across nominally identical units
14%
Above clean serial-production baseline. Rework rate at acceptance is tracking with the variance — not an accident.
Defense Audit Exposure
Quality records/qtr below DoD/MoD traceability standard
340 records
Reconstructed quality records are the single most common finding in defense customer audits at this build rate.

Where the program sits among satellite manufacturing peers

E3 customer benchmark · n = 9
Demo / Tech
1 site · <0.5/wk
Serial Buildout
2 sites · 1–2/wk
Constellation Scale
3+ sites · 2+/wk
Your program

Active Failure Vectors

5 vectors active · ranked by impact

The specific manufacturing risks the model surfaces from the production profile. Each maps to a measurable quality, schedule, or audit cost — and to a place a discovery call typically opens.

Discovery Call · 20 minutes · No deck
Programs at this profile lose 3 weeks of cadence per quarter to procedure variance and rework. The discovery call works through which weeks are already gone this quarter — and which defense audit is most likely to surface them.We come prepared with your model output

Methodology

Variance score is derived from procedure-revision velocity (a function of platform-generation status) and the cross-site coordination penalty that scales at sites^1.3. Build-rate slip combines variance-driven rework time with documentation overhead at acceptance. Defense audit exposure scales linearly with customer count and platform churn.

Calibration

Benchmark band derived from Epsilon3 satellite manufacturing customers spanning early SAR demonstrators through serial commercial constellations. Variance baselines align with industry-typical clean serial production figures (5–10% on stable platforms; 18–25% during platform iteration). Defense traceability thresholds reference NIST 800-171 and CMMC L2 documentation requirements.

Disclaimer

Numbers are directional. The full diagnostic uses the actual procedure inventory, last quarter's NCR/CAPA log, and the live customer audit calendar — performed during a discovery call. No marketing math. Anyone running serial satellite manufacturing will recognize the variables.