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

  • Hyun, Chang-Taek ;
  • Hong, Tae-Hoon ;
  • Ji, Soung-Min ;
  • Yu, Jun-Hyeok ;
  • An, Soo-Bae
  • Published : 2011.05.27

Abstract

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.

Keywords

Labor productivity;probabilistic model;field condition;crew;time and cost data

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