Predictive Schedule Optimization Framework for Aviation & Industrial Projects Using Constructability Driven Change Order Mitigation and Integrated Cost-Schedule Performance Modelling

Complex aviation and industrial projects experience substantial schedule and cost performance challenges, with ninety-eight percent of construction projects encountering cost overruns averaging eighty percent above baseline estimates. This research presents an integrated Predictive Schedule Optimization Framework combining constructability-driven change order mitigation, earned value management, and multi-objective optimization algorithms. The framework addresses cost predictability, schedule adherence, and quality maintenance through systematic integration of previously separate project management domains. Constructability analysis implementation reduces project duration by 13.5 percent and costs by 15.8 percent during pre-construction phases.