Proactive project control using productivity data and time series analysis

Seokyon Hwang, Liang Y Liu

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

Abstract

Managing construction projects requires constant monitoring of project performance and follow-up schedule updates. With updated project performance data, project managers can take corrective actions in a timely manner, thereby mitigating any negative impacts on both the cost and schedule of a project. Among project performance data, productivity data from the field plays a key role in evaluating and predicting project performance in terms of cost and schedule. Despite its importance, most contractors do not take full advantage of the benefits of analyzing productivity data and proactively control a project. Although computerized systems are commonly used in the construction industry today, few project managers make full use of on-site productivity data to accurately predict future project performance. As a result, schedule delays and cost overruns are detected at a much later stage than they should be, causing costly fixes and overtime work. This paper presents the preliminary results of an on-going research that aims to develop a new approach to achieve proactive project control based on better prediction of project performance which utilizes time series analysis techniques with integrated historical productivity data and on-going field productivity. This research proposes a new methodology, named "Pro-Con", that extends the effectiveness of using productivity data that exists in most construction companies' computer systems. The paper presents the potential use of time series analysis in the construction domain to predict performance of a project in progress using integrated productivity data. Two case studies are presented to explain the methodology. The Pro-Con concept enhances field data processing and supports decision making for projects by incorporating up-to-date productivity data into existing project control systems.

Original languageEnglish (US)
Title of host publicationComputing in Civil Engineering - Proceedings of the 2005 International Conference
EditorsL. Soibelman, F. Pena-Mora
Pages1925-1935
Number of pages11
StatePublished - Oct 31 2005
Event2005 ASCE International Conference on Computing in Civil Engineering - Cancun, Mexico
Duration: Jul 12 2005Jul 15 2005

Publication series

NameProceedings of the 2005 ASCE International Conference on Computing in Civil Engineering

Other

Other2005 ASCE International Conference on Computing in Civil Engineering
CountryMexico
CityCancun
Period7/12/057/15/05

Keywords

  • Data Processing and Decision Making
  • Information Technology
  • Proactive Project Control
  • Productivity Data
  • Productivity Prediction
  • Time Series Analysis

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Hwang, S., & Liu, L. Y. (2005). Proactive project control using productivity data and time series analysis. In L. Soibelman, & F. Pena-Mora (Eds.), Computing in Civil Engineering - Proceedings of the 2005 International Conference (pp. 1925-1935). (Proceedings of the 2005 ASCE International Conference on Computing in Civil Engineering).