Theory of Complex Work

Larsen, Harry (2022): Theory of Complex Work.

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.

• Item Type: MPRA Paper
• Language: English
• Keywords: Learning curve, Slope, Negative Binomial Distribution, Task, Trial, Uncertainty
• Subjects: D - Microeconomics > D2 - Production and Organizations > D24 - Production ; Cost ; Capital ; Capital, Total Factor, and Multifactor Productivity ; Capacity

References

Goldberg, Matthew S., Anduin Touw. (2003) “Statistical Methods for Learning Curves and Cost Analysis”, Center for Naval Analyses. March.