Developing a framework for selecting alternative materials for construction projects using BIM and the particle swarm optimization algorithm

Abstract

Purpose

This paper aims to create a comprehensive framework for selecting alternative materials in construction projects, integrating building information modeling (BIM) and the particle swarm optimization (PSO) algorithm. Materials comprise 60%–65% of the total project cost, and current methods require significant time and human resources.

Design/methodology/approach

A prototype framework is developed that considers multiple criteria to optimize the material selection process, addressing the significant investment of time and resources required in current methods. The study uses surveys and interviews with construction professionals to collect primary data on alternative materials selection.

Findings

The results show that integrating BIM and the PSO algorithm improves cost optimization and material selection outcomes.

Originality/value

This comprehensive tool enhances decision-making capabilities and resource utilization, improving project outcomes and resource utilization. It offers a systematic approach to evaluating and selecting materials, making it a valuable resource for construction professionals.

Citation

Salari, M., Ghanbari, M., Skitmore, M. and Alipour, M. (2024), "Developing a framework for selecting alternative materials for construction projects using BIM and the particle swarm optimization algorithm", Construction Innovation, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/CI-12-2023-0309