Can construction pollution be effectively managed through scheduling? This paper presents a quantitative approach for managing construction pollution control, based on construction resource leveling. The parameters of construction pollution index and hazard magnitude are treated as pseudo resources and integrated with a project’s construction schedule. The study employs a genetic algorithm (GA) enhanced leveling technique to reschedule project activities when pollution levels exceed permissible limits. This allows pollution to be redistributed and reduced. Demonstrated using 20 on-site construction activities, the experimental results indicate that the proposed GA enhanced resource leveling method performs better than the traditional resource leveling method used in MS Project. This research introduces an effective tool for project managers to reduce pollution during construction. When other methods fail, this GA-enhanced resource leveling technique offers a viable solution to minimize environmental impact and maintain regulatory compliance. It contributes to sustainable construction practices.
The research aligns with the focus of Environmental Management and Health as it tackles pollution control through construction scheduling. The approach of managing construction pollution using a genetic algorithm enhances resource leveling. The presented results add value to the journal by detailing ways to reduce environmental impact, supporting sustainability and better health.