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Eom, C S and Paek, J H (2009) Risk Index Model for Minimizing Environmental Disputes in Construction. Journal of Construction Engineering and Management, 135(01), 34–41.

Ezeldin, A S and Soliman, A (2009) Hybrid Time-Cost Optimization of Nonserial Repetitive Construction Projects. Journal of Construction Engineering and Management, 135(01), 42–55.

Lu, M, Shen, X and Chen, W (2009) Automated Collection of Mixer Truck Operations Data in Highly Dense Urban Areas. Journal of Construction Engineering and Management, 135(01), 17–23.

Mills, A, Love, P E and Williams, P (2009) Defect Costs in Residential Construction. Journal of Construction Engineering and Management, 135(01), 12–16.

Prasertrungruang, T and Hadikusumo, B H (2009) Study of Factors Influencing the Efficient Management and Downtime Consequences of Highway Construction Equipment in Thailand. Journal of Construction Engineering and Management, 135(01), 2–11.

  • Type: Journal Article
  • Keywords: Maintenance; Construction equipment; Construction management; Contractors; Construction industry; Thailand;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2009)135:1(2)
  • Abstract:
    Downtime resulting from machine breakdown invariably has a considerable impact on the performance of construction projects and companies as a whole, especially to contractors with heavy investment in equipment. Attempts to investigate the causes and consequences of downtime are rarely found. The aim of this paper is to characterize and quantify factors that influence downtime consequences (consequential problems resulting from downtime) of highway construction equipment based on the structural equation modeling (SEM) approach. A questionnaire survey was conducted to collect data on equipment management practices and downtime consequences among highway contractors in Thailand. The SEM model proposed is of value for both researchers and practitioners to facilitate a better understanding of the relationships among acquisition condition, operational practice, maintenance quality, disposal practice, and downtime consequence of heavy equipment. The model also helps contractors to manage equipment more efficiently by concentrating on several practices that can convey the greatest benefit in minimizing downtime consequences at each particular stage of a machine’s life cycle, rather than considering all practices simultaneously where the benefits gained are perhaps not proportional to the effort.

Sachs, T and Tiong, R L (2009) Quantifying Qualitative Information on Risks: Development of the QQIR Method. Journal of Construction Engineering and Management, 135(01), 56–71.

Shapira, A and Lyachin, B (2009) Identification and Analysis of Factors Affecting Safety on Construction Sites with Tower Cranes. Journal of Construction Engineering and Management, 135(01), 24–33.