A significant part of construction costs and CO2 emissions occur due to separate project scheduling and resource procurement planning (both renewable and nonrenewable). The purpose of this paper is to integrate project scheduling and resource procurement (PSRP) decisions for construction projects with a rent-or-buy strategy to minimize the cradle-to-gate CO2 emissions and maximize the net present value.
A multi-objective optimization approach is adopted to optimize two objectives: maximizing net present value and minimizing cradle-to-gate CO2 emissions. The problem is solved using multi-objective optimization algorithms and evaluated by various problem sizes from a recognized library and a water distribution construction project (WDCP).
The proposed model is applied to some test problems and a construction project using four algorithms, and their effectiveness in finding optimal or near-optimal solutions is discussed. Notably, the Non-dominated Sorting Water strider Algorithm (NSWSA) emerges as the superior performing algorithm. The procurement of renewable resources while transporting them from/to the suppliers emitted more CO2 in the execution stage than other stages, while the highest CO2 emissions of nonrenewable resources occurred in the production stage.
This integrated PSRP model offers a valuable tool for project managers to achieve both economic and environmental sustainability in construction projects.
This paper presents a project scheduling and resource procurement (PSRP) model that integrates project scheduling with resource procurement, which has not been addressed in the literature before. Also, a multi-objective optimization approach is utilized in this problem, and a water distribution construction project is used to validate the proposed model.
