Airlines increasingly rely on pricing strategies to influence demand and adjust operational plans accordingly. When expected demand decreases, reassignment of aircraft and gates becomes necessary to operate flights efficiently while maintaining service quality. This work introduces a bi-objective mixed-integer linear model that jointly optimizes pricing decisions, aircraft assignment, gate allocation, and flight scheduling. The model captures key interdependencies between revenue management and operational constraints, including aircraft-gate compatibility, capacity limits, turnaround durations, and the impact of pricing on expected passenger demand. The first objective maximizes airline profit, while the second minimizes flight tardiness. A Pareto-based analysis using the ε-constraint method highlights the trade-offs between punctuality and profitability. Computational experiments on generated instances demonstrate the relevance of integrating pricing and operational decisions within a unified framework. Perspectives include extending the model with stochastic elements and developing decomposition or heuristic approaches for large-scale instances.