Please use this identifier to cite or link to this item:
|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
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/2578||Open URL:||Link to full text||Type:||Journal Article|
|Appears in Collections:||Department of Civil and Environmental Engineering|
Show full item record
checked on Feb 4, 2023
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.