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

Abstract

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.