Abstract
This study applies cybernetic principles to optimise productivity in Nigeria's domestic airline sector. Framing airlines as adaptive systems, we integrate feedback loops, adaptive control, and self-regulation to manage operational volatility. A mixed-methods approach validates a context-specific cybernetic model. Findings demonstrate that predictive maintenance reduces aircraft downtime by 31%, dynamic fuel hedging cuts costs by 11.2%, and decentralised decision-making boosts rural route utilisation by 35%. The model overcomes linear optimisation limitations by capturing dynamic interdependencies, while revealing implementation barriers. This research contributes a novel framework for enhancing resilience in emerging aviation markets.