USING THE WEIBULL DISTRIBUTION TO MODEL HARVESTING MACHINE PRODUCTIVITY.
Document Type
Article
Publication Date
4-1-1988
Abstract
The feasibility of using the Weibull probability distribution to represent machine productivity distributions in harvesting system simulation models was assessed. Parameters of the Weibull probability density function were derived from maximum likelihood techniques using time study data, and from moment estimation techniques using time study data summary statistics (mean, variance, minimum value, and number of observations). The use of Weibull distributions for harvesting machine productivity distributions was evaluated in a thinning operation comprised of two Finnish-made Makeri harvesters and a Franklin 132 forwarder, and in a clearcutting operation consisting of a Hydro-Ax 311 feller and two Clark C-666 grapple skidders. Results of the study imply that Weibull parameters (or distributions) estimated from maximum likelihood and moment estimation techniques are good substitutes for actual machine productivity distributions in harvesting system simulations.
Publication Source (Journal or Book title)
Forest Products Journal
First Page
59
Last Page
65
Recommended Citation
Hawkins, K., Hotvedt, J., Cao, Q., & Jackson, B. (1988). USING THE WEIBULL DISTRIBUTION TO MODEL HARVESTING MACHINE PRODUCTIVITY.. Forest Products Journal, 38 (4), 59-65. Retrieved from https://repository.lsu.edu/agrnr_pubs/75