Theory of Complex Work

Harry Larsen

MPRA Paper from University Library of Munich, Germany

Abstract: Work in general, and the learning curve in particular, are typically modelled with the power law, y(x) = a xb. This model provides little insight into the causes of the dynamics of the labor hours associated with work. A stochastic model with links to information is proposed. It is implemented as a Monte Carlo system, producing probability density functions, thus deriving labor cost uncertainty as intrinsic to the performance of work itself. The paper demonstrates a time domain application of the model in a factory setting with feedback interactions between work elements.

Keywords: Learning curve; Slope; Negative Binomial Distribution; Task; Trial; Uncertainty (search for similar items in EconPapers)
JEL-codes: D24 (search for similar items in EconPapers)
Date: 2022-06-10
New Economics Papers: this item is included in nep-hme
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:113369

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