School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Skudai, Malaysia.
Department of Architecture and Urban Planning, College of Engineering, Qatar University, Doha, Qatar.
PLoS One. 2020 Feb 5;15(2):e0228746. doi: 10.1371/journal.pone.0228746. eCollection 2020.
Successful implementation of the lean concept as a sustainable approach in the construction industry requires the identification of critical drivers in lean construction. Despite this significance, the number of in-depth studies toward understanding the considerable drivers of lean construction implementation is quite limited. There is also a shortage of methodologies for identifying key drivers. To address these challenges, this paper presents a list of all essential drivers within three aspects of sustainability (social, economic, and environmental) and proposes a novel methodology to rank the drivers and identify the key drivers for successful and sustainable lean construction implementation. In this regard, the entropy weighted Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) was employed in this research. Subsequently, an empirical study was conducted within the Malaysian construction industry to demonstrate the proposed method. Moreover, sensitivity analysis and comparison with the existing method were engaged to validate the stability and accuracy of the achieved results. The significant results obtained in this study are as follows: presenting, verifying and ranking of 63 important drivers; identifying 22 key drivers; proposing an MCDM model of key drivers. The outcomes show that the proposed method in this study is an effective and accurate tool that could help managers make better decisions.
成功将精益理念作为一种可持续的方法在建筑行业实施，需要识别精益建筑中的关键驱动因素。尽管这一点很重要，但深入研究理解精益建筑实施的重要驱动因素的数量相当有限。此外，识别关键驱动因素的方法也很缺乏。为了解决这些挑战，本文提出了一个在可持续性（社会、经济和环境）三个方面的所有基本驱动因素的清单，并提出了一种新的方法来对驱动因素进行排名，并确定成功和可持续的精益建筑实施的关键驱动因素。在这方面，本研究采用了基于理想解排序的逼近程度排序法（TOPSIS）的熵权。随后，在马来西亚建筑行业进行了实证研究，以验证所提出的方法。此外，还进行了敏感性分析和与现有方法的比较，以验证所得到结果的稳定性和准确性。本研究得出的重要结果如下：提出、验证和排名 63 个重要驱动因素；确定 22 个关键驱动因素；提出关键驱动因素的 MCDM 模型。研究结果表明，本文提出的方法是一种有效且准确的工具，可以帮助管理者做出更好的决策。
