Quantitative assessment for piles productivity factors

Tarek Zayed, Daniel W. Halpin

Research output: Journal article publicationJournal articleAcademic researchpeer-review

51 Citations (Scopus)

Abstract

The management process of any construction operation usually can be defined as a chain of decisions. A decision-maker can bid, plan, and organize the bored pile projects based on an accurate estimate of productivity. To estimate productivity efficiently, piling process qualitative and quantitative factors have to be considered. This paper focuses on assessing the effect of subjective factors on bored pile construction productivity. A productivity index (PI) model is developed to represent this subjective effect in refining productivity assessment using simulation and deterministic techniques. The analytic hierarchy process and fuzzy logic are used to develop the proposed PI model that relies on the actual performance of 10 main piling process subjective factors. Subjective data were collected from bored pile (drilled shaft) contractors considering these subjective factors. The developed PI model implementation to piling process resulted in PI=0.7. This value has been validated using simulation model outputs.
Original languageEnglish
Pages (from-to)405-414
Number of pages10
JournalJournal of Construction Engineering and Management
Volume130
Issue number3
DOIs
Publication statusPublished - 1 May 2004
Externally publishedYes

Keywords

  • Construction
  • Fuzzy sets
  • Pile foundations
  • Productivity

ASJC Scopus subject areas

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

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