Investigating Construction Site Layout Planning Optimization in Gas & Oil Compressor Stations and compare results with the Traditional Method

Optimizing CSLP plays a vital role in delivering economic and time efficiencies, minimizing risks, and reducing changes during project execution. However, due to its complexity, this area has received limited attention in research and practice. Project management elements are recognized as critical determinants of project success. Among the challenges inherent to projects, construction site layout planning (CSLP) stands out as a pivotal factor influencing the achievement of project objectives. To address the intricacies of CSLP optimization, meta-heuristic algorithms have been proposed as effective tools. This study employs genetic algorithms (GA), multi-objective particle swarm optimization (MOPSO), and firefly algorithms to achieve optimal solutions. The research focuses on minimizing costs by considering six critical factors influencing site layout placement, integrating the interactions of multiple stakeholders through an agent-based modeling (ABM) framework. To demonstrate the applicability of the proposed methodology, three case studies were analyzed using the selected meta-heuristic algorithms. The findings reveal that modeling the complex interactions among stakeholders within an integrated system significantly enhances the optimization process. The proposed approach achieved improvements of ۱۱.۰۹% to ۲۹.۹۴% compared to traditional methods. Among the algorithms studied, MOPSO produced the most optimal results for multi-component integrated models, underscoring its efficacy in addressing the complexities of CSLP. For validation, the research outcomes were rigorously tested and verified using Python, ensuring the reliability of the proposed optimization framework. These findings emphasize the value of integrating advanced computational techniques with stakeholder-centered modeling to advance the field of construction project management.

کلیدواژه ها:

construction site layout planning (CSLP) ، multi-stakeholder interaction model ، genetic algorithm(GA) ، multi-Objective Particle Swarm Optimization (MOPSO) ، firefly algorithm)FA) ، agent-based modeling (ABM)