ABSTRACT
The construction industry accounts for a substantial proportion of carbon emissions. Despite numerous studies focusing on carbon emission reduction in the construction industry, very limited research has been directed towards the construction stage. The carbon emissions generated during the construction stage mainly come from various processing machinery and engineering equipment. Tower crane serves as the crucial material transportation equipment in contemporary construction work. The electricity consumption of tower cranes is one of the main sources of carbon emissions. Consequently, this paper aims to develop an optimization model to reduce the carbon emissions due to cranes during the lifting process. The multi-crane scheduling optimization model is developed as Mixed Integer Linear Programming, and a stud Genetic Algorithm is employed to address this Non-deterministic Polynomial hard problem. A case study demonstrates that the proposed model achieves a more effective reduction in carbon emissions in comparison with prior studies.
