将QFD应用于建筑结构体系优化决策

H. Elhegazy, A. Ebid, I. Mahdi, S. Haggag, Ibrahim Abdul-Rashied
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引用次数: 13

摘要

目的本研究的目的是探讨如何在建筑行业中运用品质功能展开(QFD)。本研究以埃及某建筑公司的业主和决策者为样本,对业主的需求进行分析。设计/方法/方法本节描述数据收集过程和收集的数据类型。本研究使用的数据是通过问卷调查收集的,并使用统计分析进行定量分析,以确定多层建筑结构系统中与设计性能具有统计显着相关性的实践。本研究采用基于五点李克特量表的结构化问卷;调查问卷被分发给专家、房地产公司经理、建筑行业学术专家和顾问。通过将问卷分发给专家、房地产公司经理、建筑行业-学术专家和顾问,以确定模棱两可的问题/项目,并测试用于收集数据的技术,对所得到的因素、问题和知识差距列表进行问卷调查,以定量确认和识别最重要的因素、问题和知识差距。在多层建筑的结构体系中,需要考虑影响价值工程和决策支持系统的许多内部和外部因素的影响,如进度时间、成本、建筑用途、材料的可用性和环境。最终提出的房屋质量图,可以帮助设计者和决策者在前期和可行性研究阶段使用价值工程分析对多层建筑进行结构体系的选择。同时,建筑和工程行业可以将本研究的结果作为多层建筑结构体系选择的基础。评估团队将能够准确地做出决定,并就多层建筑的不同活动的最佳结构系统提出建议。实际意义本文提出的方法使决策者和设计师能够根据客户满意度的关键绩效指标(kpi)选择多层建筑的最佳系统,并进行分析调查,以促进埃及多层建筑结构系统的决策。提出的方法使决策者和设计师能够根据客户满意度的kpi选择多层建筑的最佳系统,并进行分析调查,以促进埃及多层建筑结构系统的决策。原创性/价值qfd是一种在许多行业中使用的技术,用于评估客户期望,并将此证据反映在产品规范上。近年来,该技术也被应用于建筑业项目中。利用价值工程分析方法对多层建筑结构体系的初步选择和可行性研究阶段的设计人员和决策者提供帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementing QFD in decision making for selecting the optimal structural system for buildings
Purpose The purpose of this study is how to use the quality function deployment (QFD) in the construction industry. The study was performed for the owners and decision-makers of a construction company in Egypt, as a sample, and the owners’ requirements. Design/methodology/approach The data collection process and the type of data collected are described in this section. The data used in this study was collected from a questionnaire survey and was quantitatively analyzed using statistical analysis to identify the practices that have a statistically significant correlation with the performance of the design in the structural system of multistory buildings. A structured questionnaire five points Likert scaled based was adopted in this study; the questionnaires were distributed to experts, managers in real estate companies, construction industry-academic experts and advisors. The resulting list of factors, issues and knowledge gaps was subjected to a questionnaire survey for quantitative confirmation and identification of the most important factors, issues and knowledge gaps by distributing the questionnaires to experts, managers in real estate companies, construction industry-academic experts, and advisor to identify ambiguous questions/items and to test the techniques used to collect data. Findings The effect of many internal and external factors that affect on value engineering and decision support systems, such as schedule time, cost, the purpose of the building, availability of materials and environmental, needs to be considered in the structural system for multi-story buildings. The final proposal for the house of quality-chart helps designers and decision-makers in the preliminary phase and feasibility study stage for choosing the structural system using value engineering analysis for multi-story buildings. Also, construction and engineering industries can use the findings from this study as a basis for selecting the optimal structural system for multi-story buildings. The estimating team will be able to accurately make decisions and give recommendations regarding an optimal structural system for multi-story buildings for different activities. Practical implications The proposed approach enables decision-makers and designers to select the optimum system for multi-story buildings according to the key performance indicators (KPIs) toward client satisfaction and conduct analytical investigations to facilitate decision-making in a structural system for the multi-story building in Egypt. The proposed approach enables decision-makers and designers to select the optimum system for multi-story buildings according to the KPIs toward client satisfaction and conduct analytical investigations to facilitate decision-making in the structural system for the multi-story building in Egypt. Originality/value QFD is a technique that availed in many industries and it is used in evaluating the customer expectations, reflecting this evidence on the product specifications. In recent years, this technique is used also in construction industry projects. It is will help designers and decision-makers in the preliminary phase and feasibility study stage for choosing the structural system using value engineering analysis for multi-story buildings.
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