作者: David J. Edwards , Gary D. Holt , Frank C. Harris
DOI: 10.1080/01446190210163552
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摘要: This paper describes the development of a model to predict hourly cost downtime (using regression equations) for tracked hydraulic excavators operating in UK opencast mining industry. A three-stage process was utilized model's development. The first stage predicted machine cycle times, second hire costs per hour and third used outputs two forecast breakdown. Both time models were revealed be good predictors, as exhibited by ‘high’ R2 values 0.86 0.95, respectively. plant expert employed within Defence Logistics Organisation, Ministry Defence, validated these which predicted. Future research work will aim enhance predictive ability developed, expand cover other types, reproduce findings graphical tabular format improve interpretation information generated.