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

IF 3.6 2区 工程技术 Q1 ENGINEERING, CIVIL Engineering, Construction and Architectural Management Pub Date : 2024-07-09 DOI:10.1108/ecam-01-2024-0062
Marjan Pouraghajan, Sara Omrani, Robin Drogemuller
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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.

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加强澳大利亚混凝土建筑的决策:使用 Entropy-TOPSIS 方法的决策支持模型
目的 本研究探讨了全球非现场施工的情况,强调了其不同的采用模式以及普遍使用次优决策方法所带来的挑战。作为回应,该决策模型旨在为决策者提供有关混凝土施工系统的明智决策工具,根据每个项目的独特性量身定制,与持续依赖专家知识、核对表或类似工具形成鲜明对比。 设计/方法/途径 该研究通过文献综述、试点研究和对澳大利亚建筑专业人士的调查,提取决策标准。根据每个确定的标准对四种混凝土系统进行综合比较,然后应用综合决策模型(熵-TOPSIS)对系统进行排序,同时考虑所有标准。对 15 项标准的分析表明了选择混凝土施工系统的多面性,强调了不断变化的行业优先事项,如时间效率、环境因素和物流限制。现浇混凝土在复杂项目中的持久吸引力强调了传统方法的重要性。事实证明,Entropy-TOPSIS 模型的集成是一种强大的决策工具,它使专业人员能够同时考虑所有标准,并在充分知情的情况下做出量身定制的决策。 原创性/价值这项研究的原创性在于它采用了全面的方法,考虑了各种标准,并提出了一个灵活的决策模型,适合建筑行业的动态需求。
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来源期刊
Engineering, Construction and Architectural Management
Engineering, Construction and Architectural Management Business, Management and Accounting-General Business,Management and Accounting
CiteScore
8.10
自引率
19.50%
发文量
226
期刊介绍: ECAM publishes original peer-reviewed research papers, case studies, technical notes, book reviews, features, discussions and other contemporary articles that advance research and practice in engineering, construction and architectural management. In particular, ECAM seeks to advance integrated design and construction practices, project lifecycle management, and sustainable construction. The journal’s scope covers all aspects of architectural design, design management, construction/project management, engineering management of major infrastructure projects, and the operation and management of constructed facilities. ECAM also addresses the technological, process, economic/business, environmental/sustainability, political, and social/human developments that influence the construction project delivery process. ECAM strives to establish strong theoretical and empirical debates in the above areas of engineering, architecture, and construction research. Papers should be heavily integrated with the existing and current body of knowledge within the field and develop explicit and novel contributions. Acknowledging the global character of the field, we welcome papers on regional studies but encourage authors to position the work within the broader international context by reviewing and comparing findings from their regional study with studies conducted in other regions or countries whenever possible.
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