Multifactor learning and forgetting models for productivity and performance analysis

Abstract

Abstract This article presents an approach to modeling multifactor learning curve models for productivity and performance analysis in manufacturing. The models account for alternate periods of learning and forgetting and the resulting performance of an operator. Multi‐factor learning curves facilitate the inclusion of more than one important factor in performance and productivity analysis. The inclusion of a component that accounts for the rate of forgetting establishes a realistic representation of the effects of learning and forgetting on performance. Analyses based on the proposed approach can facilitate more reliable management decisions in productivity analysis. Two‐factor models are used to illustrate cases where forgetting occurs continuously or intermittently over a given time period.

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