Construction industry is inherently labor intensive, operates under tight constraints, faces significant delays based on queue congestions at site entrances impacting overall project efficiency exacerbated under unusual conditions such as Covid-19 outbreak. This study presents a simulation-based framework to optimize queue dynamics in construction sites, utilizing digital technologies and bottleneck analysis to improve efficiency and facilitate real-time decision making. Using Arena simulation platform, interarrival times were analyzed for pre-Covid period 16% of an hour, and 28% of an hour for post-Covid. Results showed that interarrival time of workers to iris scan point is lognormal distributed during pre-Covid and exponentially distributed for post-Covid (p<0,005). By capacity doubling (iris scan point, x-ray, passport control, hygiene points) at critical check points, the resource usage rates and interarrival times can be reduced. The findings provide a foundation for advancing construction management methodologies by evidencing the practical impact of data-driven and simulation-based algorithms. For industry practitioners, this framework provides actionable insights into optimizing labor productivity and project efficiency and streamlining daily construction activities. The study offers actionable insights for practitioners and adaptations for software developers, promoting sustainable and resilient construction management.