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|Title:||Stochastic productivity analysis of ready mix concrete batch plant in Kfarshima, Lebanon||Authors:||Semaan, Nabil||Affiliations:||Department of Civil and Environmental Engineering||Keywords:||Ready-mix concrete
Monte Carlo Simulation
|Issue Date:||2016||Part of:||International journal of science environment and technology||Volume:||5||Issue:||1||Start page:||7||End page:||16||Abstract:||
Evaluating the productivity of a ready mix concrete batch plant is one of the most challenging tasks of a plant manager and engineer, since it involves lot of uncertainties, thus risks. Hence, a stochastic productivity model is deemed important. This paper analyzes the production of ready mix concrete batch plant using two stochastic models: i) a queuing model, and ii) a simulation model. The queuing model is based on both the Queuing Theory (QT) and a Markov Chain (MC) model. While the simulation model is based on the Monte Carlo simulation technique performed by MicroCyclone web-based software. Both models are applied to the HOLCIM plant in Kfarshima, Lebanon. This paper is relevant to both the academic field and the industry.
|URI:||https://scholarhub.balamand.edu.lb/handle/uob/2581||Open URL:||Link to full text||Type:||Journal Article|
|Appears in Collections:||Department of Civil and Environmental Engineering|
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