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Anikeeff, M A and Sriram, V (2008) Construction management strategy and developer performance. Engineering, Construction and Architectural Management, 15(06), 504–13.

Eriksson, P E, Nilsson, T, rn and Atkin, B (2008) Client perceptions of barriers to partnering. Engineering, Construction and Architectural Management, 15(06), 527–39.

Essa, R and Fortune, C (2008) Pre-construction evaluation practices of sustainable housing projects in the UK. Engineering, Construction and Architectural Management, 15(06), 514–26.

Kululanga, G K and Kuotcha, W S (2008) Measuring organisational learning through project reviews. Engineering, Construction and Architectural Management, 15(06), 580–95.

Lingard, H and Francis, V (2008) An exploration of the adaptive strategies of working families in the Australian construction industry. Engineering, Construction and Architectural Management, 15(06), 562–79.

Prasertrungruang, T and Hadikusumo, B H W (2008) System dynamics modelling of machine downtime for small to medium highway contractors. Engineering, Construction and Architectural Management, 15(06), 540–61.

  • Type: Journal Article
  • Keywords: system dynamics; main roads; production equipment; system analysis; Thailand
  • ISBN/ISSN: 0969-9988
  • URL: http://www.ingentaconnect.com/content/mcb/286/2008/00000015/00000006/art00004
  • Abstract:
    Purpose - Downtime resulting from equipment failure is a major problem consistently faced in highway construction. Since managing construction equipment is tightly connected to various activities and parties inside as well as outside of the firm, failure to account for this fact invariably causes downtime to be even more severe. Variation in equipment management practices is thus, indeed, a root cause of the dynamics of machine downtime. This study is intended to address key dynamic features of heavy equipment management practices and downtime in small to medium highway contracting firms and propose policies for equipment performance improvement. Design/methodology/approach - Face-to-face interviews with equipment managers from five different small to medium highway construction companies in Thailand were conducted. Data were analysed using a system dynamics (SD) simulation approach. Findings - To overcome downtime problems, contractors need to understand the dynamics of downtime as well as its influential factors, and thus manage their equipment as a dynamic process rather than one that is static. Based on the simulation, various policies are proposed to improve the performance of heavy equipment for small to medium highway contractors. Originality/value - The research is of value in facilitating better understanding on the dynamics of equipment management practices and downtime as well as their interdependency.