用于评估建筑自动化的平衡计分卡

I. Agustí-Juan, J. Glass, Vijay Pawar
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引用次数: 0

摘要

尽管建筑业在世界范围内具有经济重要性,但由于工业化薄弱、供应链分散和合作不力,与其他行业相比,建筑业的生产率较低。最近的国家举措正在推动采用信息和自动化技术,以提高效率、质量、安全和降低建筑成本。新兴技术还将提供高度集成、连接和可扩展的新施工方法。然而,由于缺乏从整体角度评估自动化的标准和管理工具,建筑自动化的好处和风险在很大程度上仍然未知。本研究的目的是发展一个平衡计分卡(BSC)作为评估框架的自动化建设。平衡计分卡是一种战略管理系统,使用一套全面的绩效评估标准将绩效衡量与业务战略联系起来。BSCs将评估扩展到财务标准之外,包括环境和社会因素。本研究中正在开发的拟议平衡计分卡使用了一个多维指标(如资源消耗、温室气体排放、成本、生产力等)的分层系统,这些指标与建筑、运营、组织和社会层面的自动化相关。通过一个有20名建筑业参与者的讲习班,探讨了这些指标的有效性、优先性和可及性。讲习班的成果提供了一种手段,使人们将注意力集中在有关施工过程决策的相关关键绩效指标上。根据这项研究的结果,最终的平衡计分卡将帮助建筑组织实现其可持续发展目标并解决低生产率问题,因为自动化解决方案可以通过整体和务实的视角来看待,因此更有可能包含在未来的建筑运营中,并为其做出贡献。
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A Balanced Scorecard for Assessing Automation in Construction
Despite the economic importance of the construction industry worldwide, it suffers from low productivity compared to other sectors, due to weak industrialisation, fragmented supply chain and poor collaboration. Recent national initiatives are promoting the adoption of information and automation technologies to increase efficiency, quality, safety, and reduce costs in construction. Emerging technologies will also provide highly integrated, connected and scalable new methods of construction. Nevertheless, the benefits and risks of automation in construction remain largely unknown due to the lack of standards and management tools to assess them from a holistic perspective. The aim of this research is to develop a Balanced Scorecard (BSC) as an evaluation framework for automation in construction. A BSC is a strategic management system that links performance measurement to business strategy using a holistic set of performance assessment criteria. BSCs expand evaluation beyond financial criteria to include environmental and social considerations. The proposed BSC under development in this research uses a hierarchic system of multidimensional indicators (e.g. resource consumption, GHG emissions, costs, productivity, etc.) relevant to automation in construction, at operational, organisational and societal levels. The validity, priority and accessibility of the indicators were explored via a workshop with 20 participants from the construction industry. The workshop outcomes provided a means to focus attention on relevant key performance indicators (KPIs) for decision-making regarding construction processes. Based on the outcomes of this study, the final BSC will help construction organisations to achieve their sustainability goals and address low productivity, because automation solutions can be seen through a holistic, and pragmatic lens, thus are more likely to be included in, and contribute to, construction operations in the future.
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