The impact of operational strategies on vessel handling times: a simulation approach

2019 ◽  
Vol 11 (4) ◽  
pp. 287
Author(s):  
Rosa G. González Ramírez ◽  
María D. Gracia ◽  
Julio Mar Ortiz
Keyword(s):  
Simulation Approach ◽  
Operational Strategies ◽  
The Impact

The impact of operational strategies on vessel handling times: a simulation approach

2019 ◽  
Vol 11 (4) ◽  
pp. 287
Author(s):  
María D. Gracia ◽  
Julio Mar Ortiz ◽  
Rosa G. González Ramírez
Keyword(s):  
Simulation Approach ◽  
Operational Strategies ◽  
The Impact

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.

A Novel Design of Landing Gear Oleo Strut Damper Using MR Fluid for Aircraft and UAV’s

2012 ◽  
Vol 225 ◽  
pp. 275-280
Author(s):  
Chandra B. Asthana ◽  
Rama B. Bhat
Keyword(s):  
Shock Absorber ◽  
Fluid Viscosity ◽  
Simulation Approach ◽  
Body Frame ◽  
Mr Fluid ◽  
Orifice Area ◽  
Aerial Vehicle ◽  
Impact Kinetic Energy ◽  
The Impact ◽  
Novel Design

Most landing gears used in aircraft employ very efficient oleo-pneumatic dampers to absorb and dissipate the impact kinetic energy of the aircraft body frame. A single-acting shock absorber is most commonly used in the oleo strut that has a metering pin extending through the orifice, which can vary the orifice area upon compression and extension of the strut. This variation is adjusted by shaping the metering pin so that the strut load is fairly constant under dynamic loading. In this paper, it is proposed to further change the damping coefficient as a function of time in order to achieve a semi-active control of the aircraft vibrations during landing by using Magnetorheological (MR) fluid in the Oleo. With the metering pin designed for a nominal flight condition, further variation in the fluid viscosity would help achieve the optimal performance in off-nominal flight conditions. A simulation approach is employed to show the effect of different profiles for viscosity variation in the MR fluid. The utility of such a damper can be very well exploited to include different criteria such as the landing distance after touchdown. This type of system can be used also in Unmanned Aerial Vehicle (UAV) application where the focus of design may be to accomplish the task without the consideration of passenger comfort.

scholarly journals The impact of nonresponse in different survey stages on the precision of prevalence estimates for multi-stage survey studies

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Ming Ma ◽  
Sophie Rosenberg ◽  
Alexander M. Kaizer
Keyword(s):  
Survey Research ◽  
State Level ◽  
Simulation Approach ◽  
Multi Stage ◽  
Margin Of Error ◽  
Prevalence Estimates ◽  
Three Stages ◽  
Nonresponse Rate ◽  
The Mean ◽  
The Impact

Abstract Objective While it is known that nonresponse might produce biased results and impair the precision of results in survey research studies, the pattern of the impact on the precision of estimates due to the nonresponse in different survey stages is historically overlooked. Having this type of information is essential when creating recruitment plans. This study proposes to examine and compare the effect of nonresponse in different stages on the precision of prevalence estimates in multi-stage survey studies. Based on data from a state level survey, a simulation approach was used to generate datasets with different nonresponse rates in three stages. The margin of error was then compared between the datasets with nonresponse at three different survey stages for 12 outcomes. Results At the same nonresponse rate, the mean margin of error was greater for the data with nonresponse at higher stages. Additionally, as the nonresponse rate increased, precision was more inflated within the data with higher stage nonresponse. This suggests that the effort used to recruit the primary sampling units is more crucial to improve the precision of estimates in multi-stage survey studies.

scholarly journals Measuring Market Risk of Commercial Banks Implementing VaR with Historical Simulation Approach

2021 ◽  
pp. 79-99
Author(s):  
Minhaz-Ul Haq
Keyword(s):  
Stock Prices ◽  
Commercial Banks ◽  
Value At Risk ◽  
First Generation ◽  
Market Risk ◽  
Jel Classification ◽  
Simulation Approach ◽  
Share Prices ◽  
Historical Simulation ◽  
The Impact

This paper attempts to picture the impact of the market risk of ten commercial banks located in Bangladesh with the help of a non-parametric model known as the Historical Simulation Approach over the course of eight years. These banks' daily stock prices were used as inputs and analyzed in Microsoft Excel by means of Percentile and LN function. The study revealed market risk exposure as third, second-and first-generation banks from the least to the highest. It also pointed out the ups and downs of these banks' share prices in the selected period. Further analysis showed the portfolio VaR estimation for different time intervals. JEL classification numbers: G32. Keywords: Value-at-risk, Historical Simulation, Market Risk, Confidence Interval.

A co-simulation approach to study the impact of gravity collective irrigation constraints on plant dynamics in Southern France

2022 ◽  
Vol 262 ◽  
pp. 107205
Author(s):  
Bastien Richard ◽  
Bruno Bonté ◽  
Magalie Delmas ◽  
Isabelle Braud ◽  
Bruno Cheviron ◽  
...  
Keyword(s):  
Simulation Approach ◽  
Southern France ◽  
Plant Dynamics ◽  
The Impact

scholarly journals A Combined Approach for Production Parameter Selection and On-site Energy Supply Management in Manufacturing Industry

2016 ◽  
Vol 10 (8) ◽  
pp. 230
Author(s):  
Pouya Ghadimi ◽  
Seyed Smaeil Mousavi ◽  
Wen Li ◽  
Sami Kara ◽  
Bernard Kornfeld
Keyword(s):  
Energy Supply ◽  
Supply System ◽  
Supply Management ◽  
Operational Strategies ◽  
Energy Supply System ◽  
Production Parameters ◽  
Site Energy ◽  
The Impact ◽  
Supply Systems ◽  
Energy Supply Systems

Integrated management of manufacturing plant’s production and on-site energy supply systems has shown potential economic, environmental and resource efficiency advantages for the industry. However, existing approaches are solely based on pure mathematical models with a high degree of abstraction with limited applicability, which becomes impractical for industrial applications. In this paper a simulation methodology for production parameters selection and on-site energy supply management is presented. In this case, state-based models and operational strategies of manufacturing processes and on-site energy supply options are integrated to represent interdependency between production processes, technical building services and on-site energy supply system. As a result, the proposed methodology covers manufacturing system complexity without compromising the required accuracy. This is applied to a batch based manufacturing plant and the impact of particular production parameters on energy demand profile is evaluated. The results indicate the impact of production parameters on energy supply system. In addition, the proposed approach enables manufacturers to evaluate the implications of potential production approaches in order to select appropriate operational strategies for on-site energy supply systems.

Development of an Operational Adequacy Evaluation Framework for Operational Planning of Bulk Electric Power Systems

2020 ◽  
Vol 27 (05) ◽  
pp. 2040010
Author(s):  
Tej Krishna Shrestha ◽  
Rajesh Karki ◽  
Prasanna Piya
Keyword(s):  
Power Systems ◽  
Unit Commitment ◽  
Planning Horizon ◽  
Test System ◽  
Evaluation Framework ◽  
Operational Planning ◽  
Analytical Methodology ◽  
Real Time System ◽  
Operational Strategies ◽  
The Impact

Proper long-term planning for investment in resources, timely operational planning to prepare resources and to decide on operational strategies, and proper operating decisions to respond to disturbances during real-time system operation are important to supply reliable power to customers as economically as possible. However, existing utility procedures are insufficient to comprehend uncertainties of modern renewable-integrated power systems and to provide suitable quatitative indicators to assist in operational planning. Independent system operators and utilities around the globe are developing new and unique approaches to operational planning to manage rising uncertainties in power generation from renewable sources like wind and PV. It is desirable to establish uniformity in operational adequacy evaluation methods and quantitative metrics applicable to all power systems in the operational planning horizon of days, weeks, or even months. This will help standardize the operational planning methodology and metrics, and simplify implementation of operational strategies. To address this need, this paper presents a probabilistic analytical methodology for operational adequacy evaluation of a bulk power system integrating the concepts of state enumeration and a novel Dynamic System State Probability Evaluation (DSSPE) approach in time series analysis to accommodate the operational as well as network characteristics. The proposed methodology is implemented on a test system to demonstrate operational adequacy-based operational planning, and to analyze the impact of factors such as unit commitment decisions, locational distribution of load, and generation on the operational adequacy of the system.

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