2016年建筑工程施工成本管理外文翻译—运用精益管理方法改进施工过程-成本案例研究

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1、字数：英文 2253 单词， 12495 字符；中文 3792 汉字 出处： Nowotarski P, Pasawski J, Matyja J. Improving Construction Processes Using Lean Management Methodologies Cost Case StudyJ. Procedia engineering, 2016, 161: 1037-1042. 外文文献 Improving Construction Processes Using Lean Management MethodologiesCost Case Study Abstr

2、act Construction sector is in general characterized by frequent deadlines delays, budget overruns and problems in maintaining proper quality. To prevent such problems, a common practice is to transfer the management methods used successfully in production industry. Article presents the idea of intro

3、ducing Lean Management methodologies in chosen construction processes and the purpose of the study is to show how Lean Management can influence the total cost of selected process of managing storage area on the construction site. Article is based on the study conducted by authors on the construction

4、 of office building in Poznan (Poland) city center, where proposed new approach to management was introduced and tested. Authors performed deeper analysis on introducing proposed methodology into 3 processes: column concreting, storage area management and scaffolding ordering. In the article authors

5、 focused their attention on economic aspects of introduced changes into one of them: storage area management, showing how proposed different style of management can influence costs of analyzed processes. Lean methodologies are used to assess the risk problems and find suitable solution which will in

6、fluence on reduction of the total time and cost of analyzed works. Proposed idea of Lean Management in this paper as construction management solution can be remedy for many different problems in the construction industry not limited to analyzed example. Keywords: Lean Management; construction process management; cost reduction; 5s; construction site Analysis of presented study led to the conclusions, that Lean Management can be interesting approach which can be implemented in const