Redirigiendo al acceso original de articulo en 16 segundos...
ARTÍCULO
TITULO

A project management framework for enhanced productivity performance using building information modelling

Longhui Liao    
Evelyn Ai Lin Teo    
Sui Pheng Low    

Resumen

Although the Singapore government has mandated submissions of building plans in building information modelling (BIM) format since July 2013, this does not yet seem to lead to enhanced productivity performance. BIM collaboration between designers and downstream contractors appears to remain inadequate. While many studies have been conducted on using BIM for better project outcomes, studies that relate BIM with the identification of non-value adding activities in the project lifecycle and the reduction of the resulting wastes are at infancy stage. This paper aims to propose a project management framework for enhancing the productivity of building projects in Singapore, which forms Phase I of an ongoing research project. A two-pronged approach is presented. Firstly, non-value adding activities in the current project delivery process that uses BIM partially in Singapore are identified by comparing the typical current process with full BIM-based processes; such activities are cut down after process transformation in terms of people, process, and technology. Secondly, time savings derived from reducing the wastes caused by these activities are quantified. The proposed framework was validated by a case study of a local residential project. It was concluded that this framework provides a valuable tool for project teams to enhance productivity performance.

 Artículos similares

       
 
Lotte de Jong, Gert Jan Veldwisch, Lieke Anna Melsen and Rutgerd Boelens    
In the field of climate change adaptation, the future matters. River futures influence the way adaptation projects are implemented in rivers. In this paper, we challenge the ways in which dominant paradigms and expert claims monopolise the truth concerni... ver más
Revista: Water

 
Mazen A. Al-Sinan, Abdulaziz A. Bubshait and Zainab Aljaroudi    
Recent advancements in machine learning (ML) applications have set the stage for the development of autonomous construction project scheduling systems. This study presents a blueprint to demonstrate how construction project schedules can be generated aut... ver más
Revista: Buildings

 
Eugene Levner, Vladimir Kats, Pengyu Yan and Ada Che    
High-throughput screening systems are robotic cells that automatically scan and analyze thousands of biochemical samples and reagents in real time. The problem under consideration is to find an optimal cyclic schedule of robot moves that ensures maximum ... ver más
Revista: Algorithms

 
Suhee Jo, Ryeonggu Kwon and Gihwon Kwon    
GitHub serves as a platform for collaborative software development, where contributors engage, evolve projects, and shape the community. This study presents a novel approach to analyzing GitHub activity that departs from traditional methods. Using Discre... ver más
Revista: Applied Sciences

 
Qiang Yang, Xiaojie Yan, Wenkai Chen and Juncheng Fan    
With the rapid development of the construction industry, there have been an uncountable number of damages caused by safety accidents at construction sites. Traditional safety management methods are no longer able to meet the needs of production. This pap... ver más
Revista: Applied Sciences