Productivity and cost regression models for pile construction

Tarek Zayed, Daniel W. Halpin

Research output: Journal article publicationJournal articleAcademic researchpeer-review

29 Citations (Scopus)

Abstract

The estimating process of pile construction productivity and cost is intricated because of several factors: unseen subsurface obstacles; lack of contractor experience; site planning; and pile equipment maintainability. This study intends to assess cycle time, productivity, and cost for pile construction considering the effect of the above factors using regression technique. Data were collected through designated questionnaires, site interviews, and telephone calls to experts in different construction companies. Many variables have been considered in the pile construction process. Seven regression linear models have been designed and validated to assess productivity, cycle time, and cost. Consequently, three sets of charts have been developed based upon the validated models to provide the decision maker with a solid planning, scheduling, and control tool for pile construction projects. This research is relevant to both industry practitioners and researchers. It provides sets of charts and models for practitioners' usage to schedule and price out pile construction projects. In addition, it provides the researchers with the methodology of designating regression models for the pile construction process, its limitations, and future suggestions.
Original languageEnglish
Pages (from-to)779-789
Number of pages11
JournalJournal of Construction Engineering and Management
Volume131
Issue number7
DOIs
Publication statusPublished - 1 Jul 2005
Externally publishedYes

Keywords

  • Construction
  • Costs
  • Piles
  • Predictions
  • Productivity
  • Regression models
  • Statistical analysis

ASJC Scopus subject areas

  • Building and Construction
  • Civil and Structural Engineering
  • Industrial and Manufacturing Engineering

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