QUALITY MANAGEMENT

CAPA Lifecycle Markov Model

PROBABILISTIC LIFECYCLE ANALYSIS

CAPA Lifecycle Markov Model

Illustrative transition model showing the probability of a CAPA moving between lifecycle states at each review period.
Markov Lifecycle Flow
Forward probabilities are shown above the main lifecycle. Dashed curves indicate feedback transitions.
Probabilistic flow
80.0% stay 20.0% OPEN Open Lifecycle state 70.0% stay 20.0% INV Investigation Lifecycle state 75.0% stay 15.0% ACT Corrective Action Lifecycle state 80.0% stay 10.0% VER Verification Lifecycle state stay 100.0% CLO Closed Absorbing state INV→OPEN 10.0% ACT→INV 10.0% VER→ACT 10.0% Main lifecycle progression Self-loops and feedback transitions model CAPA rework or repeated review.
Closure Probability Projection
Starting from the first state, probability of reaching the terminal state
10-Step Projection
Distribution after ten transitions
OPENOpen0.15%
INVInvestigation0.62%
ACTCorrective Action1.37%
VERVerification1.99%
CLOClosed95.87%
Transition Matrix
Rows = current state, columns = next state
From \ ToOPENINVACTVERCLORow total
OPEN0.2000000.8000000.0000000.0000000.0000001.000000
INV0.1000000.2000000.7000000.0000000.0000001.000000
ACT0.0000000.1000000.1500000.7500000.0000001.000000
VER0.0000000.0000000.1000000.1000000.8000001.000000
CLO0.0000000.0000000.0000000.0000001.0000001.000000
Run Projection
Calculate any starting state and step count