Data analysis and design of construction productivity efficiency multipliers

Ioannis Pantouvakis

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The prediction of construction productivity is an integral part of the planning and cost estimating process. Although different methods are available and some comparisons between different methods can be found in the literature, an analysis of the data required for productivity estimation with the purpose of developing a unified database of productivity efficiency multipliers is rarely addressed. This paper examines the data required for productivity estimation according to Komatsu and Caterpillar performance manuals with the purpose to analyze dependencies between the data, formulate functional dependencies and investigate the hypothesis that a unified database for the two methods can be designed. For the purposes of this paper only excavation has been analyzed but it is argued that the same methodology can be extended to other construction activities also. The process revealed “dark” areas (i.e. not existing data) in the published data (e.g. for swing angles of less than 45° in the prediction of excavation productivity for Komatsu), different values for the same factor (e.g. different fill factors for the same soil) and, even different reliance between factors (e.g. cycle time for excavation).

Original languageEnglish
Title of host publicationLecture Notes in Mechanical Engineering
PublisherPleiades Publishing
Pages119-128
Number of pages10
Edition9783319741222
DOIs
Publication statusPublished - Jan 1 2018

Publication series

NameLecture Notes in Mechanical Engineering
Number9783319741222
ISSN (Print)2195-4356
ISSN (Electronic)2195-4364

Keywords

  • Caterpillar
  • Construction productivity
  • Database
  • Komatsu
  • Productivity coefficients

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Mechanical Engineering
  • Fluid Flow and Transfer Processes

Fingerprint Dive into the research topics of 'Data analysis and design of construction productivity efficiency multipliers'. Together they form a unique fingerprint.

  • Cite this

    Pantouvakis, I. (2018). Data analysis and design of construction productivity efficiency multipliers. In Lecture Notes in Mechanical Engineering (9783319741222 ed., pp. 119-128). (Lecture Notes in Mechanical Engineering; No. 9783319741222). Pleiades Publishing. https://doi.org/10.1007/978-3-319-74123-9_13