Case Study: Model Validation and Experiment Design for Helicopter Simulation Model Development and Applications

2015 ◽  
pp. 147-173
Author(s):  
David J. Murray-Smith
Keyword(s):  
Simulation Model ◽  
Model Validation ◽  
Model Development ◽  
Experiment Design

Application of Multi-Nodal Network Simulation Models in Debottlenecking Complex Pipeline Network

2014 ◽  
Author(s):  
Dumitru Cernelev ◽  
Allan Chegus ◽  
Frank Lin
Keyword(s):  
Simulation Model ◽  
Network Simulation ◽  
System Modeling ◽  
Model Development ◽  
Practical Application ◽  
Pipeline Network ◽  
Business Objective ◽  
Modeling Techniques ◽  
Network Simulation Model

The problem of identifying and removing bottlenecks in a multi-terminal oil & gas pipeline network while achieving quality and delivery targets is a very real and complex problem. The most effective way to meet the above business objective is to develop a terminal network simulation model. This paper is a case study describing the approach in designing a complex multi-nodal pipeline network simulation model with objective to resolve a critical inter-company storage problem for a major refiner. Various complex system modeling techniques and approaches are elaborated with a focus on practical application. A case study is also presented to demonstrate the practical application of the modeling techniques for terminal network simulation model development.

scholarly journals The General Principles of the Transportation Simulation Model Development and Validation

2020 ◽  
Vol 15 ◽  
Keyword(s):  
Simulation Model ◽  
Model Validation ◽  
Management Strategies ◽  
Model Development ◽  
Simulation Models ◽  
Model Verification ◽  
Microscopic Simulation ◽  
Calibration Methods ◽  
Transportation Simulation ◽  
Development And Validation

Transportation simulation model development allows simulating traveller’s decisions, evaluating various transportation management strategies and complex solutions. The aim of the paper is to set the general principles of the transportation simulation model development and validation. The paper contains the overview of the transportation simulation models types with the examples from the conducted projects for the Riga city. The basic steps of the simulation model development procedure: initial data preparation and analysis, transportation model development and simulation, scenarios planning and evaluation, and simulation models outcomes evaluation are considered. Simulation model verification, validation and calibration definitions are given. The basic checks for the transportation macroscopic and microscopic simulation model validation are listed. A summary of the transportation simulation model validation and calibration methods and parameters is given.

Reduction of Ship Waiting Time at Port Container Terminal Through Enhancement of the Tug/Pilot Machine Operation

2014 ◽  
Vol 68 (3) ◽  
Author(s):  
A. Shahpanah ◽  
A. Hashemi ◽  
G. Nouredin ◽  
S. M. Zahraee ◽  
S. A. Helmi
Keyword(s):  
Simulation Model ◽  
Model Validation ◽  
Waiting Time ◽  
Processing Time ◽  
Container Terminal ◽  
Real Data ◽  
Simulation Software ◽  
Shipping Industry ◽  
Transition Points

Port container terminal is one of the important transition points in the shipping industry. Competitiveness is an important factor for port container terminal with the increase in the number of port terminals globally. Vessel processing time port terminals is one of the important factors that influence the port terminal attractiveness. In addition, most port terminals tried to reduce ship waiting time with enhancement of their facilities. This paper focused on the ship waiting time at the berthing area of port container terminal, and tried to solve the queuing problem at ship tugging operation in order to reduce the average waiting time. The data was collected from a major port container terminal in Malaysia as a case study. The port terminal is modeled with Arena 13.5 simulation software and model validation was done based on real data which was taken from the case study. Different scenarios were then tested on the tugging operation at the port simulation model. The results show that after the implementation of these scenarios, the average ship waiting time at the berthing area decreased dramatically from 180 hours to 140 hours for each ship.

scholarly journals A Methodological Approach to Assessment and Reporting of the Model Adequacy in Simulation Studies Abstract

2021 ◽  
Vol 12 (4) ◽  
pp. 0-0
Keyword(s):  
Mathematical Model ◽  
Simulation Model ◽  
Methodological Approach ◽  
Model Development ◽  
Academic Research ◽  
Simulation Modelling ◽  
Research Activity ◽  
Model Adequacy ◽  
Modelling Process

Assessment and Reporting of Model Adequacy is an important step in the simulation modelling process. It stipulates the level of precision and accuracy, which are important features of the model predictions. In an academic research activity, an important step for model development is the process of the identification or accepting whether the model is wrong. The evaluation of the adequacy of developed models is not possible through a single statistical test. This paper delineates a technique to implement model adequacy. A live case is demonstrated on the proposed methodology by evaluating a simulation model which was designed by us to simulate a well-established mathematical model. A step by step methodological approach is delineated in this paper along with a case study of investigation of a simulation model with a mathematical model is used to demonstrate this methodology. The paper concludes with an Algorithm and a flow chart for performing model adequacy for assessing the adequacy of the developed model with existing models.

scholarly journals Some Issues in the Testing of Computer Simulation Models

2016 ◽  
Vol 5 (1) ◽  
pp. 1-10
Author(s):  
David Murray-Smith
Keyword(s):  
Simulation Model ◽  
Model Validation ◽  
Simulation Models ◽  
Model Testing ◽  
Model Verification ◽  
Verification And Validation ◽  
Quality Data ◽  
Model Quality ◽  
Face Validation

The testing of simulation models has much in common with testing processes in other types of application involving software development. However, there are also important differences associated with the fact that simulation model testing involves two distinct aspects, which are known as verification and validation. Model validation is concerned with investigation of modelling errors and model limitations while verification involves checking that the simulation program is an accurate representation of the mathematical and logical structure of the underlying model. Success in model validation depends upon the availability of detailed information about all aspects of the system being modelled. It also may depend on the availability of high quality data from the system which can be used to compare its behaviour with that of the corresponding simulation model. Transparency, high standards of documentation and good management of simulation models and data sets are basic requirements in simulation model testing. Unlike most other areas of software testing, model validation often has subjective elements, with potentially important contributions from face- validation procedures in which experts give a subjective assessment of the fidelity of the model. Verification and validation processes are not simply applied once but must be used repeatedly throughout the model development process, with regressive testing principles being applied. Decisions about when a model is acceptable for the intended application inevitably involve some form of risk assessment. A case study concerned with the development and application of a simulation model of a hydro-turbine and electrical generator system is used to illustrate some of the issues arising in a typical control engineering application. Results from the case study suggest that it is important to bring together objective aspects of simulation model testing and the more subjective face- validation aspects in a coherent fashion. Suggestions are also made about the need for changes in approach in the teaching of simulation techniques to engineering students to give more emphasis to issues of model quality, testing and validation.

scholarly journals A Methodological Approach to Assessment and Reporting of the Model Adequacy in Simulation Studies

2021 ◽  
Vol 12 (4) ◽  
pp. 1-17
Author(s):  
Michael Sony ◽  
V. Marriapan
Keyword(s):  
Mathematical Model ◽  
Simulation Model ◽  
Methodological Approach ◽  
Model Development ◽  
Academic Research ◽  
Simulation Modelling ◽  
Research Activity ◽  
Model Adequacy ◽  
Modelling Process

Assessment and Reporting of Model Adequacy is an important step in the simulation modelling process. It stipulates the level of precision and accuracy, which are important features of the model predictions. In an academic research activity, an important step for model development is the process of the identification or accepting whether the model is wrong. The evaluation of the adequacy of developed models is not possible through a single statistical test. This paper delineates a technique to implement model adequacy. A live case is demonstrated on the proposed methodology by evaluating a simulation model which was designed by us to simulate a well-established mathematical model. A step by step methodological approach is delineated in this paper along with a case study of investigation of a simulation model with a mathematical model is used to demonstrate this methodology. The paper concludes with an Algorithm and a flow chart for performing model adequacy for assessing the adequacy of the developed model with existing models.

Sign in / Sign up

Export Citation Format

Share Document