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首页> 外文期刊>Journal of Construction Engineering and Management >Tools for Measuring Construction Materials Management Practices and Predicting Labor Productivity in Multistory Building Projects
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Tools for Measuring Construction Materials Management Practices and Predicting Labor Productivity in Multistory Building Projects

机译：多层建筑项目中测量建筑材料管理实践和预测劳动生产率的工具

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Planning, monitoring, and evaluating materials management practices are important for enhancing construction productivity. This study is designed to develop a tool for scoring materials management practices for building projects and, on that basis, build a tool for predicting productivity. The research was carried out in two phases. During Phase I, in-depth interviews were conducted with 19 experts and context-specific materials management practices were identified. During Phase II, questionnaires were used to collect quantitative data from 39 contractors. To prioritize the practices that were identified during Phase I, the quantitative data were analyzed. Based on the analysis, tools for measuring and planning the materials management practices and probability-based regression models were developed. Procurement plans for materials, long-lead materials identification, and materials delivery schedule are the three most significant practices. Contractors can use the scoring tool to measure the levels of implementation of the practices and assess the risk of having low productivity using the predictive models. This research contributes to the body of knowledge by developing construction materials management practices measuring, planning, monitoring, and evaluating tools in the context of building projects. In addition, the logistic and linear regression models can be used to assess whether a certain level of implementation of the construction materials management practice might be associated with higher or lower labor productivity.
机译：计划，监视和评估材料管理实践对于提高建筑生产率非常重要。本研究旨在开发一种用于对建筑项目的材料管理实践进行评分的工具，并在此基础上构建一种用于预测生产率的工具。该研究分两个阶段进行。在第一阶段，与19位专家进行了深入访谈，并确定了针对特定环境的材料管理实践。在第二阶段期间，使用问卷调查表从39个承包商那里收集了定量数据。为了对在第一阶段中确定的做法进行优先排序，对定量数据进行了分析。在分析的基础上，开发了用于测量和计划物料管理实践的工具以及基于概率的回归模型。物料采购计划，长铅物料识别和物料交付时间表是三个最重要的实践。承包商可以使用评分工具来衡量实践的实施水平，并使用预测模型评估生产率低下的风险。这项研究通过在建筑项目的背景下开发测量，规划，监控和评估工具的建筑材料管理实践，为知识体系做出了贡献。此外，逻辑和线性回归模型可用于评估建筑材料管理实践的某种实施水平可能与更高或更低的劳动生产率相关联。

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