The Development of Probabilistic Time and Cost Data: Focus on field conditions and labor productivity

  • Published : 2011.05.27


Labor productivity is a significant factor associated with controlling time, cost, and quality. Many researchers have developed models to define methods of measuring the relationship between productivity and various parameters such as the size of working area, maximum working hours, and the crew composition. Most of the previous research has focused on estimating productivity; however, this research concentrates on estimating labor productivity and developing time and cost data for repetitive concrete pouring activity. In Korea, "Standard Estimating" only entails the average productivity data of the construction industry, and it is difficult to predict the time and cost spent on any particular project. As a result, errors occur in estimating duration and cost for individual activities or projects. To address these issues, this research sought to collect data, measure productivity, and develop time and cost data using labor productivity based on field conditions from the collected data. A probabilistic approach is also proposed to develop data. A case study is performed to validate this process using actual data collected from construction sites. It is possible that the result will be used as the EVMS baseline of cost management and schedule management.


  1. Victor E. Sanvido, "Conceptual Construction Process Model", 1988
  2. Mohamed, A. N. "Knowledge based approach for productivity adjusted construction schedule", Expert systems with applications, Vol.21(2), pp. 87-97 ,2001
  3. Md. Salim, Leonhard E. Bernold, "Effects of Design-Integrated Process Planning on Productivity in rebar Placement", J. Constr. Eng. Manage., Vol.120(4), pp.720-738, 1994
  4. "Direct Labor Productivity Measurement - As Applied In Construction and Major Maintenance Projects", No. 22R-01, AACE International Recommended Practice, 2004
  5. Cho,K., Hong, T., Hyun,C., "Integrated schedule and cost model for repetitive construction process", J. Constr. Eng. Manage., Vol.26(2), pp.78-88, 2010
  6. RS Means, Building Construction Cost Data, 2010
  7. Ministry of Land, Transport and Maritime Affairs of the Korean government, Development of estimating fair construction cost and building management system, 2010
  8. Keller Warrack, Statistics for management and economics, Thomson Learning, Inc., 2003
  9. Awad S. Hanna, Jeffrey S. Russell, Timothy W. Gotzion, Erik V. Nordheim, "Impact of Change Orders on Labor Efficiency for Mechanical Construction", J. Constr. Eng. Manage., Vol.125(3), pp.176-184, 1999
  10. David S. Cottrell, "Contractor Process Improvement for Enhancing Construction Productivity", J. Constr. Eng. Manage., Vol.132(2), pp.189-196, 2006
  11. Eric Allmon, Carl T. Haas, John D. Borcherding, and Paul M. Goodrum, "U.S. Construction Labor Productivity Trends, 1970-1998", J. Constr. Eng. Manage., Vol.126(2), pp.97-104, 2000
  12. Makarand Hastak, Sanjiv Gokhale, Kartik Goyani, Taehoon Hong, and Bhavin Safi, "Analysis of Techniques Leading to Radical Reduction in Project Cycle Time", J. Constr. Eng. Manage., Vol.134(12), pp.915-927, 2008
  13. Osama Moselhi, Ihab Assem, and Khaled El-Rayes, "Change Orders Impact on Labor Productivity", J. Constr. Eng. Manage., Vol.131(3), pp.354-359, 2005
  14. Paul M. Goodrum, Dong Zhai, and Mohammed F. Yasin, "Relationship between Changes in Material Technology and Construction Productivity", J. Constr. Eng. Manage., Vol.135(4), pp.278-287, 2009

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