Blackwell Reference Online

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Learning curves are the functions that predict the reduction of labor input per unit of manufactured output. The concept can be applied at both micro and macro levels. At the micro level when a worker is first trained to carry out a specific task, the performance on that task will naturally be poor. As the worker gains experience and develops the work‐specific skills, performance will improve. The rate at which such improvement is made will depend on a number of factors such as the complexity of the work, the cycle time of the work, the ability of the worker, and his or her experience of similar work. However, in all cases, the rate of improvement will decrease over time as the worker becomes more proficient. A learning curve is a graphical representation of the improvement in performance and for most work follows a general asymptotic pattern. The graph normally relates performance (measured as job completion time) either to time on the job or to the number of job cycles completed. Where work measurement is used to establish the standard time for a job, it is possible to plot on the curve the desired end point of an induction or training period and to measure operator performance over time against this end point. Where a learning curve has been established by prior observation of a range of workers adjusting to the same work, it is possible to measure the progress of a new worker ... log in or subscribe to read full text