Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/2578
Title: Stochastic Analysis of Ready Mix Concrete Batch Plant in Kfarshima, Lebanon
Authors: Semaan, Nabil 
Affiliations: Department of Civil and Environmental Engineering 
Keywords: Ready-mix concrete
Stochastic Production
MicroCyclone
Monte Carlo Simulation
Queue
Cycle Time
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/2578
Open URL: Link to full text
Type: Journal Article
Appears in Collections:Department of Civil and Environmental Engineering

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