The Use of Learning Curve Models for Prediction of Batch Production Performance

Abstract

The learning effect is well established in the repetitive performance of industrial tasks and it is essential that production management be aware of the potential for improved performance (measured by dynamic gain) and the rate at which this may be achieved/measured by the time constraint. Performance and contingency logging and trend modelling should be part of the management information system so that the appropriate learning curve can be established and stored in the databank for future planning purposes. The application of the learning curve to batch production shows that performance slippage caused by elapsed time between batch completions is a significant factor in manufacturing time increase, and, hence, labour costs. This should be allowed for when optimising batch production policy, forecasting deliveries, and

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