Learning performance of an industrial long cycle time group task

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Abstract
Many studies involving the estimation of the start-up parameters for process tasks have been carried out in the past, using different learning curve models. The time constant learning curve has recently been successfully applied to both short cycle speed skill assembly tasks and to long cycle process tasks. Satisfactory prediction of average performance has been achieved enabling management to improve production schedules, reduce costs and evaluate training programmes. In this particular process being studied the modelling of average performance has been carried out following established procedures. The variability of measured operator performance has been analysed in stages. Selection of the change points between stages has been based on increases in the monitored residual mean square value of the curve fits of the time constant model. Examples quoted include increases in variability due to changes in equipment, layout, personnel and work order load. Variability between groups has been discussed and two specific areas requiring future investigation have been highlighted.

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