Modeling Municipal Solid Waste Collection Systems Using Derived Probability Distributions. I: Model Development
Publication: Journal of Environmental Engineering
Volume 127, Issue 11
Abstract
This paper presents a derived probability model that can be used to estimate vehicle and labor requirements for municipal solid waste collection systems. The model consists of closed-form solutions for important performance parameters such as the mean and variance of the total collection time for a route of given size. The results of the model agree well with the results of Monte Carlo–simulation models of curbside collection, but the derived probability model has several advantages over simulation techniques. The analytical nature of the model allows it to be easily and directly implemented on a spreadsheet. The proposed model will allow solid waste managers to examine a wide range of collection alternatives without the time and expense of simulation modeling.
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Information & Authors
Information
Published In
Journal of Environmental Engineering
Volume 127 • Issue 11 • November 2001
Pages: 1031 - 1038
History
Received: Mar 10, 2000
Published online: Nov 1, 2001
Published in print: Nov 2001
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