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Proposed models to measure the quality of highway projects Regression analysis vs statistical - Fuzzy approach

机译:拟议的公路工程质量测量模型回归分析与统计-模糊方法

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Purpose - Quality measurement is the trigger for quality improvement. Indeed, what gets measured gets done. The real scope of quality improvement in construction projects is the difficulty and-maybe-lack of quality measurement methods. The purpose of this paper is to identify the factors influencing the quality performance of highway projects in Egypt. Furthermore, this paper also contributes to develop models to measure the quality level of these projects. Design/methodology/approach - A literature review is conducted to compile a list of factors influencing the quality of highway projects. The resulting list of factors is subjected to a questionnaire survey which was sent to owners, consultants and contractors of highway projects in Egypt. Furthermore, linear regression analysis and statistical fuzzy approaches are adopted for modeling process. Findings - The survey results show that availability of experienced staff in the owner's and contractor's teams during the project execution, asphalt quality and type used in the construction process, pavement is not designed according to the regional conditions, and contractor's labors and equipment capability are among the most important factors influencing quality performance. Originality/value - The main contribution of this study is to develop models to measure the quality of highway projects in Egypt. The first model is based on the linear regression analysis, while the second one is based on a statistical fuzzy approach which is a hybrid approach from the fuzzy logic and regression analysis. Validation of the models reveals that the linear regression and the statistical fuzzy models can accurately assess expected quality of any future highway projects at confidence levels 68.97 and 87.44 percent, respectively.
机译:目的-质量度量是质量改进的触发。确实,可以衡量的东西可以完成。建设项目质量改进的真正范围是质量测量方法的困难,甚至可能缺乏。本文的目的是找出影响埃及公路项目质量表现的因素。此外,本文还有助于开发模型来衡量这些项目的质量水平。设计/方法/方法-进行了文献综述,以汇编影响公路项目质量的一系列因素。得出的因素清单将接受问卷调查,该调查已发送给埃及公路项目的所有者,顾问和承包商。此外,建模过程采用线性回归分析和统计模糊方法。调查结果-调查结果表明,在项目执行过程中,业主和承包商团队中经验丰富的人员的可用性,施工过程中使用的沥青质量和类型,未根据区域条件设计的路面以及承包商的劳动力和设备能力影响质量绩效的最重要因素。原创性/价值-这项研究的主要贡献是开发模型来衡量埃及公路项目的质量。第一个模型基于线性回归分析,而第二个模型基于统计模糊方法,该方法是模糊逻辑和回归分析的混合方法。模型的验证表明,线性回归模型和统计模糊模型可以分别以置信度68.97%和87.44%准确评估任何未来公路项目的预期质量。

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