Improving labor productivity through production control

Min Liu, Glenn Ballard

Research output: Chapter in Book/Report/Conference proceedingConference contribution

49 Scopus citations

Abstract

This research collected production data from a pipe installation project to study how construction labor productivity is related to four variables: Percent Plan Complete (PPC, a measure of work flow reliability), work load, work output, and workers per week. The results suggest that productivity is not improved by completing as many tasks as possible regardless of the plan, nor from increasing work load, work output or the number of work hours expended. Productivity does improve when work flow is made more predictable, thus enabling a better match of available work load with capacity (labor hours). These findings can help project managers understand the relationship between work flow and productivity and to focus on actual drivers of productivity. It may also help consulting companies pinpoint responsibility for productivity losses in claims.

Original languageEnglish (US)
Title of host publicationProceedings of IGLC16
Subtitle of host publication16th Annual Conference of the International Group for Lean Construction
Pages657-666
Number of pages10
StatePublished - 2008
Externally publishedYes
Event16th Annual Conference of the International Group for Lean Construction, IGLC16 - Manchester, United Kingdom
Duration: Jul 16 2008Jul 18 2008

Publication series

NameProceedings of IGLC16: 16th Annual Conference of the International Group for Lean Construction

Other

Other16th Annual Conference of the International Group for Lean Construction, IGLC16
Country/TerritoryUnited Kingdom
CityManchester
Period7/16/087/18/08

Keywords

  • Construction management
  • Labour productivity
  • Last Planner™ system
  • Work flow
  • Work flow variation

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Architecture

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