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Integrated Risk Management Framework for Tolerance-Based Mitigation Strategy Decision Support in Modular Construction Projects

机译:模块化建设项目中基于公差的缓解策略决策支持的集成风险管理框架

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摘要

Managing excessive geometric variability risks in modular components and assemblies represents a major challenge in construction projects because of incompatibility between process capabilities and desired tolerance levels. The current modular practices usually apply strict tolerances, ad hoc strategies, or trial-and-error solutions for geometric variability management. The consequences of improper assessment and reactive management of such unique risks can result in extensive site-fit rework, cost overruns, schedule delays, and quality issues. To address this persistent challenge in modular construction (MC), this paper presents a systematic risk management framework for the proactive management of unique modularization risks. The developed framework includes identification and evaluation of tolerance-related issues and unique modularization risks in a quantitative manner, identification of the optimum geometric variability (using either a strict or relaxed tolerance approach) by addressing the trade-offs between offsite and onsite costs, evaluation of mitigation strategy effectiveness based on tolerance theory, and representation of the results in two- and three-dimensional graphs to support decision making with respect to the optimum selection of a mitigation strategy. A case study is used to demonstrate the proposed framework, and the results show that it can be used to effectively support industry practitioners to improve modularization performance and maximize its benefits.
机译:由于过程能力和所需公差水平之间不兼容,因此在模块化项目和组件中管理过多的几何可变性风险是建筑项目中的主要挑战。当前的模块化实践通常对几何变异性管理应用严格的公差,临时策略或反复试验的解决方案。对此类独特风险进行不正确评估和反应性管理的后果可能导致大量的场地调整返工,成本超支,进度延迟和质量问题。为了解决模块化构建(MC)中持续存在的挑战,本文提出了一个系统的风险管理框架,用于主动管理独特的模块化风险。已开发的框架包括以定量方式识别和评估与公差相关的问题和独特的模块化风险,通过解决异地成本与现场成本之间的折衷来确定最佳几何可变性(使用严格或宽松的公差方法),评估基于公差理论的缓解策略有效性的评估,并在二维和三维图中表示结果,以支持就缓解策略的最佳选择进行决策。通过案例研究来说明所提出的框架,结果表明该框架可用于有效地支持行业从业人员改善模块化性能并最大程度地发挥其优势。

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