斯里兰卡模块化综合建设项目建模设计阶段风险

T.A.S. Sandeepani, E. Ekanayake, I. Ashayeri
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摘要

模块化集成施工(MiC)作为一种很有前途的施工方法,在建筑行业,特别是在发达国家,已经取得了显著的进步。然而,MiC在斯里兰卡等发展中国家越来越受欢迎,因为它具有提高建筑效率、减少成本和浪费以及提高质量的潜力。在集成电路中,设计阶段被认为是至关重要的,因为设计错误可能会传播到制造和装配问题,甚至导致整个项目失败。此外,由于斯里兰卡建筑业正处于MiC实施的初级阶段,最容易暴露风险的阶段是设计阶段。因此,有必要探讨影响斯里兰卡MiC的设计阶段风险(DSRs),以便及时做出决策,抵御其实施中的潜在风险。在这种情况下,本研究提出并开发了一个社会网络分析(SNA)模型,通过探索和评估通过行业专家调查收集的数据来识别最关键的dsr及其相互关系影响。研究结果表明,在确定的14个总风险中,设计信息不准确、设计规划不充分和设计规范不明确是斯里兰卡MiC启动中最关键的dsr。此外,确定了三个重要的风险类别,并评估了SNA模型中描述的每个风险的相互关系影响。此外,研究结果将激励行业专业人士在三个不同类别的背景下了解和解决关键的dsr,从而制定适当的措施来成功地抵御它们,以提高行业绩效。
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Modelling design stage risks in modular integrated construction projects in Sri Lanka
Modular integrated Construction (MiC) as a promising construction method has instigated significant advancements in the construction industry, especially in developed countries. However, the MiC has been becoming popular in developing countries such as Sri Lanka given its potential to improve construction efficiency, reduce cost and waste, and enhance quality. The design stage is considered critical in MiC since design errors can propagate to manufacturing and assembly issues and entire project failure. Further, as the Sri Lankan construction industry is in the preliminary stages of MiC implementation, the most risk-exposing stage is the design stage. Therefore, it is essential to explore the design stage risks (DSRs) affecting MiC in Sri Lanka to enable timely decision-making to withstand the potential risks in its implementation. Under these circumstances, this study proposed and developed a Social Network Analysis (SNA) model to identify the most critical DSRs and their co-relational impacts by probing and assessing the data collected through an industry expert survey. The findings revealed that the inaccuracy of design information, inadequate planning for design and unclear design specifications are the most critical DSRs in MiC initiation in Sri Lanka among the identified 14 total risks. Further, three significant risk categories were determined, and the co-relational impact of each risk was assessed as depicted in the SNA model. Moreover, the study findings would motivate industry professionals to appreciate and address the critical DSRs in the context of the three respective categories and thereby develop adequate measures to successfully withstand them to boost industrial performance.
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