Scheduling tools for the construction industry: overview and decision support system for tool selection

被引:5
作者
Desgagne-Lebeuf, Alexandre [1 ]
Lehoux, Nadia [1 ]
Beauregard, Robert [2 ]
机构
[1] Univ Laval, Dept Mech Engn, Quebec City, PQ, Canada
[2] Univ Laval, Dept Wood Sci & Forestry, Quebec City, PQ, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Computer tool; construction; planning; review; scheduling; software; OPTIMIZATION; SIMULATION; MANAGEMENT; INTEGRATION; FRAMEWORK;
D O I
10.1080/15623599.2020.1819583
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The construction industry is a major sector of employment but it has been lagging behind other sectors in terms of productivity for years. Better planning and a heightened presence of technology are advised to reduce the productivity gap. This article aims to combat the haphazard manual process involved in building-erection planning and the associated lag in productivity growth by pointing industry stakeholders to the tools suited for their needs. It may also serve as a basis for further academic research on construction automation, by presenting all the tools found in a uniform and objective structure. To achieve these goals, a systematic literature review of industry-related articles published between January 2008 and 2019 was conducted, leading to the identification of 31 computerized scheduling tools developed specifically for the construction sector. Through this process, trends such as the most widely used software, the countries of origin, the methods of fabrication and the level of automation were identified. The review also resulted in a classification that was later validated via semi-structured interviews with members of the construction industry. Following these interviews, a decision support system was created to facilitate the selection of the tools depending on the planning requirements to address. This will allow project managers to access a wide range of tools and select the ones that best fit their needs. With automated schedule delivery and resource planning, security risks warnings or 4D visualization, project managers can find in those tools an edge that will lead to better working practices and results.
引用
收藏
页码:2687 / 2698
页数:12
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