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Bossink, B A G (2002) A Dutch public-private strategy for innovation in sustainable construction. Construction Management and Economics, 20(07), 633-42.

Cheung, F K T, Kuen, J L F and Skitmore, M R (2002) Multi-criteria evaluation model for the selection of architectural consultants. Construction Management and Economics, 20(07), 569-80.

Cheung, S-O and Suen, H C H (2002) A multi-attribute utility model for dispute resolution strategy selection. Construction Management and Economics, 20(07), 557-68.

Drew, D S, Shen, L Y and Zou, P X W (2002) Developing an optimal bidding strategy in two-envelope fee bidding. Construction Management and Economics, 20(07), 611-20.

Dubois, A and Gadde, L E (2002) The construction industry as a loosely coupled system: implications for productivity and innovation. Construction Management and Economics, 20(07), 621-31.

Dulaimi, M F and Shan, H G (2002) The factors influencing bid mark-up decisions of large and medium size contractors in Singapore. Construction Management and Economics, 20(07), 601-10.

Edwards, D J, Holt, G D and Harris, F C (2002) Predicting downtime costs of tracked hydraulic excavators operating in the UK opencast mining industry. Construction Management and Economics, 20(07), 581-91.

  • Type: Journal Article
  • Keywords: construction plant; machine cycle time; productivity; downtime cost; regression analysis
  • ISBN/ISSN: 0144-6193
  • URL: https://doi.org/10.1080/01446190210163552
  • Abstract:

    This paper describes the development of a model to predict the hourly cost of downtime (using regression equations) for tracked hydraulic excavators operating in the UK opencast mining industry. A three-stage process was utilized for the model’s development. The first stage predicted machine cycle times, the second predicted hire costs per hour and the third used the outputs of the first two to forecast the cost of breakdown. Both cycle time and hire cost models were revealed to be good predictors, as exhibited by the ’high’ R2 values of 0.86 and 0.95, respectively. A plant expert employed within the Defence Logistics Organisation, UK Ministry of Defence, validated these regression models and the process by which downtime costs were predicted. Future research work will aim to enhance the predictive ability of the models developed, expand the research to cover other machine types, and reproduce the findings in graphical and tabular format to improve the interpretation of information generated.

Ruddock, L (2002) Measuring the global construction industry: improving the quality of data. Construction Management and Economics, 20(07), 553-6.

Tan, W (2002) Construction and economic development in selected LDCs: past, present and future. Construction Management and Economics, 20(07), 593-9.