scholarly journals APPLICATION OF SIMULATION APPROACH TO MANPOWER PLANNING AT UKRAINE INTERNATIONAL AIRLINES’ MAINTENANCE DEPARTMENT / AVIAKOMPANIJOS „UKRAINOS TARPTAUTINĖS AVIALINIJOS“ TECHNINĖS PRIE ŽIŪROS SKYRIAUS DARBO RESURSŲ PLANAVIMO MODELIS

2013 ◽  
Vol 5 (5) ◽  
pp. 578-582
Author(s):  
Viktoriia Ivannikova ◽  
Kateryna Kryshkevych
Keyword(s):  
Simulation Model ◽  
Manpower Planning ◽  
Simulation Approach ◽  
International Airport ◽  
International Airlines

The simulation model for the line maintenance department should be used as a tool to support effective and efficient functioning of every airline. The paper describes application of this model at Ukraine International Airlines for their major maintenance station at Boryspil International Airport in Kyiv, Ukraine.

Stochastic simulation for determining the design flood of cascade reservoir systems

2012 ◽  
Vol 43 (1-2) ◽  
pp. 54-63 ◽  
Author(s):  
Baohong Lu ◽  
Huanghe Gu ◽  
Ziyin Xie ◽  
Jiufu Liu ◽  
Lejun Ma ◽  
...  
Keyword(s):  
Simulation Model ◽  
Stochastic Simulation ◽  
Southern China ◽  
Flow Simulation ◽  
Simulation Method ◽  
Simulation Approach ◽  
Design Flood ◽  
Design Values ◽  
Stochastic Simulation Model ◽  
The Impact

Stochastic simulation is widely applied for estimating the design flood of various hydrosystems. The design flood at a reservoir site should consider the impact of upstream reservoirs, along with any development of hydropower. This paper investigates and applies a stochastic simulation approach for determining the design flood of a complex cascade of reservoirs in the Longtan watershed, southern China. The magnitude of the design flood when the impact of the upstream reservoirs is considered is less than that without considering them. In particular, the stochastic simulation model takes into account both systematic and historical flood records. As the reliability of the frequency analysis increases with more representative samples, it is desirable to incorporate historical flood records, if available, into the stochastic simulation model. This study shows that the design values from the stochastic simulation method with historical flood records are higher than those without historical flood records. The paper demonstrates the advantages of adopting a stochastic flow simulation approach to address design-flood-related issues for a complex cascade reservoir system.

An Autonomous Multi-Agent Simulation Model for Acute Inflammatory Response

2013 ◽  
pp. 218-233 ◽  
Author(s):  
John Wu ◽  
David Ben-Arieh ◽  
Zhenzhen Shi
Keyword(s):  
Simulation Model ◽  
Focal Point ◽  
Therapeutic Interventions ◽  
Prognostic Indicators ◽  
Simulation Approach ◽  
Agent Based Model ◽  
Agent Based ◽  
Initial Stage ◽  
Agent Simulation ◽  
Multi Agent

This research proposes an agent-based simulation model combined with the strength of systemic dynamic mathematical model, providing a new modeling and simulation approach of the pathogenesis of AIR. AIR is the initial stage of a typical sepsis episode, often leading to severe sepsis or septic shocks. The process of AIR has been in the focal point affecting more than 750,000 patients annually in the United State alone. Based on the agent-based model presented herein, clinicians can predict the sepsis pathogenesis for patients using the prognostic indicators from the simulation results, planning the proper therapeutic interventions accordingly. Impressively, the modeling approach presented creates a friendly user-interface allowing physicians to visualize and capture the potential AIR progression patterns. Based on the computational studies, the simulated behavior of the agent–based model conforms to the mechanisms described by the system dynamics mathematical models established in previous research.

Simulation modeling for manpower planning in electrical maintenance service facility

2018 ◽  
Vol 24 (1) ◽  
pp. 89-104 ◽  
Author(s):  
Sanjay Choudhari ◽  
Hasmukh Gajjar
Keyword(s):  
Simulation Model ◽  
Resource Utilization ◽  
Manpower Planning ◽  
Service Level ◽  
Simulation Software ◽  
Optimum Number ◽  
Entire System ◽  
Service Facility ◽  
Content Type ◽  
Maintenance Service

Purpose The purpose of this paper is to present the simulation model for manpower planning in electrical maintenance service facility and evaluates different scenarios to improve resource utilization while meeting the desired service level. Design/methodology/approach The process systematically maps entire system of electrical fault rectification, identifies probability distributions of demand of electrical maintenance requests and its process times using historical data. The simulation software Arena was used to model the entire system and various possible improvements were evaluated to assess performance of maintenance service facility. Findings The simulation results obtained for the proposed changes in the system indicated the potential improvement in resource utilization while meeting the average waiting time expectations of customers. Practical implications The proposed simulation model can help maintenance people to decide the optimum number of resources to meet the agreed performance level that is expected by various stakeholders. Originality/value The paper considers the computer simulation in modeling complex real-life system for understanding the resource requirement of electrical fault maintenance facility to improve resource utilization while meeting the desired service level.

scholarly journals A Simulation Approach for Optimising Energy-Efficient Driving Speed Profiles in Metro Lines

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 6038
Author(s):  
Mariano Gallo ◽  
Marilisa Botte ◽  
Antonio Ruggiero ◽  
Luca D’Acierno
Keyword(s):  
Energy Consumption ◽  
Simulation Model ◽  
Travel Time ◽  
Energy Efficient ◽  
Energy Savings ◽  
Simulation Software ◽  
Gradient Algorithm ◽  
Simulation Approach ◽  
Driving Speed ◽  
Optimisation Model

We propose a model for optimising driving speed profiles on metro lines to reduce traction energy consumption. The model optimises the cruising speed to be maintained on each section between two stations; the functions that link the cruising speed to the travel time on the section and the corresponding energy consumption are built using microscopic railway simulation software. In addition to formulating an optimisation model and its resolution through a gradient algorithm, the problem is also solved by using a simulation model and the corresponding optimisation module, with which stochastic factors may be included in the problem. The results are promising and show that traction energy savings of over 25% compared to non-optimised operations may be achieved.

scholarly journals Rational Prediction Of Future Pension Expense: A Simulation Approach

2011 ◽  
Vol 20 (3) ◽  
Author(s):  
Alan I. Blankley ◽  
Philip G. Cottell Jr. ◽  
Richard H. McClure
Keyword(s):  
Simulation Model ◽  
Financial Analysts ◽  
Analytical Tool ◽  
Simulation Approach ◽  
Font Size ◽  
Future Earnings ◽  
Powerful Analytical Tool

<p class="MsoBodyText" style="text-align: justify; margin: 0in 0.5in 0pt;"><span style="font-size: 10pt; mso-bidi-font-style: italic;"><span style="font-family: Times New Roman;">Because future pension expense can have a material influence on a firm&rsquo;s future earnings, financial analysts are faced with the difficult task of forecasting its impact.<span style="mso-spacerun: yes;">&nbsp; </span>The purpose of this paper is to demonstrate a model that can be used with a simulation approach to predict future pension expense and its associated uncertainties.<span style="mso-spacerun: yes;">&nbsp; </span>Because of the importance and complexity of the pension expense component in the estimate of future earnings, a simulation model acts as a powerful analytical tool that can give the analyst greater confidence as to the magnitude and variability of future pension expense.</span></span></p>

scholarly journals Development of simulation model for evaluating operational performance of railroad networks

2021 ◽  
Author(s):  
Saad Syed
Keyword(s):  
Simulation Model ◽  
Model Simulation ◽  
Operational Performance ◽  
Minimal Cost ◽  
Simulation Approach ◽  
Discrete State ◽  
Freight Traffic ◽  
Railroad Network ◽  
User Friendly ◽  
Entire Network

Railroads move freight traffic on their network based on an overall operations plan that includes blocking, train formation, and train scheduling plans. The optimization of these operations over the entire network is integral to maximizing efficiency and minimizing costs. This thesis develops a simulation model for analyzing various operation plans of a railroad network along with guidelines for establishing a comprehensive operations plan. The objective is to move all freight on the network with minimal cost. With the model simulation and comparison of several operation plans can be performed to determine the 'best case' plan. The model implements a discrete state, deterministic simulation approach. The user-friendly software for implementation of the model was programmed in VBA and Excel. Application of the model is demonstrated using a hypothetical railroad network. The results show that the model is an effective tool in evaluating various scenarios and helping in determining the best plan.

An Investigation Into Structural-Induced Noise in an Electric Motor

2019 ◽  
Author(s):  
Tung Xuan Vuong ◽  
Willow Yangliu Li ◽  
Ahmed Al-Jumaily ◽  
Neel Pandey
Keyword(s):  
Numerical Simulation ◽  
Simulation Model ◽  
Frequency Response ◽  
Electric Motor ◽  
Computational Simulation ◽  
Tangential Force ◽  
Radial Force ◽  
Structural Vibration ◽  
Far Field ◽  
Simulation Approach

Abstract The paper presents an investigation into the noise generated by structural vibration of an electric motor used in appliance products using Computational Simulation Approach. In particular, a 3-D numerical simulation model is specifically developed to predict the frequency response of the stator under three different simulation conditions: radial force only, tangential force only and the combination of both forces. The obtained data is used to analyze the acoustic generation in the far-field. Experimental is used to validate the predicted results. It shows the predicted results are very close to experimental results.

Economic Survivability of Mississippi Rice Farms: A Deterministic Simulation Approach

1987 ◽  
Vol 19 (2) ◽  
pp. 163-173 ◽  
Author(s):  
Michael E. Salassi ◽  
Bobby R. Eddleman ◽  
James G. Hamill
Keyword(s):  
Economic Growth ◽  
Simulation Model ◽  
Financial Structure ◽  
Farm Size ◽  
Financial Viability ◽  
Simulation Approach ◽  
Deterministic Simulation ◽  
Delta Area ◽  
Representative Farms

AbstractThis study evaluates the economic survivability of rice farms in the Delta area of Mississippi. A general whole-farm simulation model, FLIPSIM V, is used to simulate the operations of representative rice farms over a 10-year period. Although farm size did not change for any of the representative farms considered, the financial structure of these farms changed considerably. Crop mix was found to cause significant differences in the economic growth and financial viability of rice farms in the region.

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