Scheduling repetitive construction projects presents significant challenges, necessitating the integration of various factors to enhance project scheduling realism. The learning rate, defining how quickly a project team absorbs knowledge and best practices, is a crucial element affecting the duration of such projects. This continuous learning and process improvement commitment faces difficulties in maintaining consistent workflow due to the stochastic nature of construction endeavors. Work stoppages, resulting from various events, disrupt workflow and hinder the accumulated learning rate, impacting project duration. Employer risk events (ERE) play a substantial role in causing interruptions, necessitating an assessment of their impact on the project’s learning rate. The study focuses on two aspects: quantifying learning loss from work stoppages for accurate project performance calculations and refining corrective measures to minimize repercussions on duration and cost. The complexity of considering learning and forgetting rates, coupled with uncertain events like ERE, calls for the essential use of simulation software in project scheduling. The method devised for quantifying learning loss proves valuable for claims analysis and corrective measure implementation, contributing to improved project management efficiency. Ultimately, the study aims to mitigate learning loss with minimal impact on project duration and cost, addressing the intricacies of scheduling repetitive construction projects effectively.