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Productivity Improvement Of Pre-cast Concrete Installation

Submitted2009-05-06
Last Update2009-05-06
TitleProductivity Improvement Of Pre-cast Concrete Installation
Author(s)Author #1
Author title:
Name: Souma M. Alhaj Ali
Org: Assistant Professor, Department of Industrial Engineering, Hashemite University, Jordan
Country:
Email: souma@hu.edu.jo

Author #2
Author title:
Name: Ayman A. Abu Hammad
Org: Assistant Prof., Department of Civil Engineering, Applied Science University, Amman, Jordan
Country:
Email: dr-abuhammad@asu.edu.jo

Author #3
Author title:
Name: Ghaleb J. Sweis
Org: Assistant Professor, Department of Civil Engineering, The University of Jordan, Amman
Country:
Email: gsweis@ju.edu.jo

Author #4
Author title:
Name: Murad S. Samhouri
Org: Assistant Professor, Department of Industrial Engineering, Hashemite University, Jordan
Country:
Email: samhouri@hu.edu.jo

Other Author(s)
Contact AuthorAuthor #1
Alt Email: souma@hu.edu.jo
Telephone:
KeywordsPre-cast concrete, Productivity, Construction operations, Method productivity delay model (MPDM)
AbstractThe production process of pre-cast concrete installation is analyzed to investigate possible ways for onsite productivity improvement. Although manufactured construction enjoys higher quality and productivity, it is observed that it suffers delays compared to site built construction. Delay causes and respective severity are analyzed for improvement. Firstly, the production process is investigated using the production delay model. Forty cycle data are used in the analysis. The comparative impact and severity are measured for five delay causes, namely: labor, environmental, management, equipment and material on overall system productivity. It is found via the production delay analysis that material, followed by equipment availability then labor were major contributors to system delay. Secondly, statistical analysis on the installation cycle time of three pre-cast component types is carried out, in order to insure whether the delay observed via the first step is attributed to variation of pre-cast pieces. The data used in step one above were not pertinent to product type; therefore, other 90 cycle data are utilized in the statistical analysis, which indicated high variability in cycle time due to product type. Improvement can be achieved through proper scheduling of project equipment and resources. In addition, improvement should target the reduction of installation cycle time variability due to product type.
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