Predicting downtime costs of tracked hydraulic excavators operating in the UK opencast mining industry

David J. Edwards, Gary D. Holt, Frank C. Harris

Research output: Contribution to journalArticlepeer-review

30 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)581-591
Number of pages11
JournalConstruction Management and Economics
Volume20
Issue number7
DOIs
Publication statusPublished - Oct 2002
Externally publishedYes

Keywords

  • Construction plant
  • Downtime cost
  • Machine cycle time
  • Productivity
  • Regression analysis

ASJC Scopus subject areas

  • Management Information Systems
  • Building and Construction
  • Industrial and Manufacturing Engineering

Fingerprint

Dive into the research topics of 'Predicting downtime costs of tracked hydraulic excavators operating in the UK opencast mining industry'. Together they form a unique fingerprint.

Cite this