Stochastic Model of the Diffusion of Pollutants in Landfill Management Using Monte Carlo Simulation

2012 ◽  
pp. 7-26
Author(s):  
Bogusław Bieda
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Stochastic Model ◽  
Landfill Management

Operational Risk Evaluation of an Ice Feature Impact

1990 ◽  
Vol 112 (1) ◽  
pp. 96-101
Author(s):  
A. B. Dunwoody
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Probability Distribution ◽  
Stochastic Model ◽  
Risk Evaluation ◽  
Joint Probability ◽  
Joint Probability Distribution ◽  
Offshore Structure ◽  
Simple Stochastic Model ◽  
General Method

The risk of impact by a particular ice feature in the vicinity of an offshore structure or stationary vessel is of concern during operations. A general method is presented for calculating the risk of an impact in terms of the joint probability distribution of the forecast positions and velocities of the ice feature. A simple stochastic model of the motion of an ice feature is introduced for which the joint probability distribution of ice feature position and velocity can be determined as a function of time. The risk of an impact is presented for this model of the motion of an ice feature. Predictions of the distributions of the time until impact and the drift speed upon impact are also presented and discussed. Predictions are compared against results of a Monte Carlo simulation.

scholarly journals Worker Movement Diagram Based Stochastic Model of Open Paced Conveyors

2018 ◽  
Vol 46 (2) ◽  
pp. 55-62 ◽  
Author(s):  
Tamás Ruppert ◽  
János Abonyi
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Human Resources ◽  
Stochastic Model ◽  
Manufacturing Systems ◽  
Production Systems ◽  
Benchmark Problem ◽  
Stochastic Nature ◽  
Moving Patterns ◽  
Open Nature

Abstract Human resources are still utilized in many manufacturing systems, so the development of these processes should also focus on the performance of the operators. The optimization of production systems requires accurate and reliable models. Due to the complexity and uncertainty of the human behavior, the modeling of the operators is a challenging task. Our goal is to develop a worker movement diagram based model that considers the stochastic nature of paced open conveyors. The problem is challenging as the simulator has to handle the open nature of the workstations, which means that the operators can work ahead or try to work off their backlog, and due to the increased flexibility of the moving patterns the possible crossings which could lead to the stopping of the conveyor should also be modeled. The risk of such micro-stoppings is calculated by Monte-Carlo simulation. The applicability of the simulator is demonstrated by a well-documented benchmark problem of a wire-harness production process.

scholarly journals Design and Empirical Exploration for Second Trimester Period using Markov Process

2020 ◽  
Vol 8 (5) ◽  
pp. 3283-3285
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Risk Factor ◽  
Markov Process ◽  
Stochastic Model ◽  
Empirical Analysis ◽  
Fetal Development ◽  
Behavioral Changes ◽  
Second Trimester ◽  
Different Levels

This research investigates the conditioned level in the mid-gestation period using stochastic model such as Markov process which requires the Monte Carlo simulation to get the intended results. The simulation in fetal stages addresses the influence of possible risk factor in different levels. The abnormal conditioned in mid-pregnancy that affects the behavioral randomness of the fetal development. The equation of the data implement through the Monte Carlo equation. Empirical Analysis has showed in the behavioral changes of fetal development during mid-gestation.

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