Enhancing decision-making in Australian concrete construction: a decision support model using an Entropy-TOPSIS approach

Abstract

Purpose

This study addresses the global landscape of offsite construction, highlighting its variable adoption patterns and the challenge posed by the prevalent use of suboptimal decision-making methods. In response, the decision-making model seeks to equip decision-makers with tools for well-informed decisions on concrete construction systems, tailored to the unique characteristics of each project, in contrast to the persisting reliance on expert knowledge, checklists or similar tools.

Design/methodology/approach

The study extracts decision-making criteria through literature reviews, pilot studies and surveys amongst Australian construction professionals. A comprehensive comparison of four concrete systems against each identified criterion is conducted, followed by the application of an integrated decision model (Entropy-TOPSIS) to rank the systems, considering all criteria simultaneously. Real-world case studies validate the practical applicability of the model.

Findings

An analysis of 15 criteria demonstrated the multifaceted nature of selecting concrete construction systems, emphasising evolving industry priorities like time efficiency, environmental considerations and logistical constraints. The enduring appeal of in-situ concrete in complex projects underscores the significance of traditional methods. The integration of the Entropy-TOPSIS model proved to be a robust decision-making tool, enabling professionals to simultaneously consider all criteria and make well-informed, customised decisions.

Originality/value

The study’s originality lies in its comprehensive approach, considering diverse criteria and presenting a flexible decision-making model suitable for the dynamic demands of the construction industry.

Citation

Pouraghajan, M., Omrani, S. and Drogemuller, R. (2024), "Enhancing decision-making in Australian concrete construction: a decision support model using an Entropy-TOPSIS approach", Engineering, Construction and Architectural Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/ECAM-01-2024-0062