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Introducing and applying a modified AHP (Analysis Hierarchy Process) to analyse productivity at the construction site

机译:介绍和应用修改后的AHP(分析层次结构)来分析施工现场的生产率

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Purpose Improvement of on-site productivity has been a very important issue in the construction industry and construction companies struggle to overcome this problem. In Korea, a construction company considered adopting a newly developed construction tool from other countries. The company would like to measure productivity before and after adopting the tools. The objective of this study is to understand productivity analysis for selected advanced construction tools in the construction site where the tools were used. This study is aimed at valuation of productivity as a result of the application of the existing and advanced tools using analysis hierarchy process (AHP) which is a representative survey method. Method For this study, several surveys were conducted to obtain from the managers' and practitioners' viewpoint. By analyzing this, a tool-guiding method was developed and a construction tool application was selected before buying or adopting these tools. AHP is useful for understanding the complex structures which combine the macro-view of manager and the micro-view of practitioner. So in this study we used the AHP and evaluated the productivity. Results & Discussion Through survey and pairwise comparison, we obtained information on the evaluation factors that the manager focused on. Also, the practitioner evaluation was derived from the survey on a maximum scale of 7 points. This way the existing and an adapted tool may be compared. Introducing and using the advanced tools, manager and practitioner succeeded in identifying priority factors.
机译:目的提高现场生产力一直是建筑业和建筑公司斗争克服这个问题的一个非常重要的问题。在韩国,一家考虑采用其他国家采用新开发的建筑工具的建筑公司。本公司希望在采用工具之前和之后测量生产率。本研究的目的是了解所选择的工具中所选择的先进建筑工具的生产率分析。本研究旨在估值,由于应用现有和高级工具使用分析层次处理(AHP),这是一种代表性调查方法。本研究的方法,进行了几项调查,从管理人员和从业者的观点获得。通过分析这一点,开发了一种工具引导方法,在购买或采用这些工具之前选择了建筑工具应用程序。 AHP可用于了解组合经理的宏观视图的复杂结构和从业者的微观视图。所以在这项研究中,我们使用了AHP并评估了生产力。通过调查和成对比较的结果与讨论,我们获得了经理专注的评估因素的信息。此外,从业者评估源自调查,最大规模为7分。这样可以比较现有和适应的工具。介绍和使用高级工具,经理和从业者成功地识别优先因素。

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