Elements of the System Dynamics Method

1997 ◽  
Vol 48 (11) ◽  
pp. 1144-1145 ◽  
Author(s):  
J Randers
Keyword(s):  
System Dynamics ◽  
Dynamics Method

Discrete-event modeling by system dynamics method

2021 ◽  
Author(s):  
A. N. Medvedev ◽  
V. N. Timokhin ◽  
Yu. A. Nelyubina
Keyword(s):  
System Dynamics ◽  
Discrete Event ◽  
Event Modeling ◽  
Dynamics Method

scholarly journals A Study on The Assessment of Flood Damages by System Dynamics Method

1976 ◽  
Vol 7 ◽  
pp. 77-94
Author(s):  
Seiichi KAGAYA ◽  
Estuo YAMAMURA
Keyword(s):  
System Dynamics ◽  
Flood Damages ◽  
Dynamics Method

Overview of Unconventional Risk Quantification Methods

2020 ◽  
pp. 79-100
Author(s):  
Yuri G. Raydugin
Keyword(s):  
System Dynamics ◽  
Biased Sampling ◽  
Parametric Methods ◽  
Risk Quantification ◽  
Project Risks ◽  
Dynamics Modelling ◽  
Linear Interactions ◽  
Unconventional Methods ◽  
Dynamics Method

Unconventional risk quantification methods focused on risk assessments only are reviewed. It is shown that all unconventional methods are actually not risk quantification methods being aimed at evaluation of overall project durations and costs. Three methods are reviewed—parametric, artificial neural networks (ANN), and system dynamics. Reasons for high systematic errors and low accuracy of parametric methods are uncovered. They stem from using biased sampling—convenience and judgement samples—as well as from mathematical shortcomings of parametric methods. ANN methodology is positioned as a possible fundamental upgrade for parametric methods. It is shown that the ANN method also depends on quality of used samples. The system dynamics method is introduced to reveal non-linear interactions in project systems based on implications of project rework cycles. It is pointed out that if identified and addressed project risks are factored into the system dynamics modelling the latter could be requalified as a conventional methodology.

Review of the Evaluation of Urban Sustainable Development

2014 ◽  
Vol 1073-1076 ◽  
pp. 2610-2613
Author(s):  
Ling Zhang ◽  
Lu Pan Wang ◽  
Le He ◽  
Hou Chen Li
Keyword(s):  
Sustainable Development ◽  
System Dynamics ◽  
Composite Index ◽  
Urban Metabolism ◽  
Environmental Aspects ◽  
Index Method ◽  
Urban Sustainable Development ◽  
Development Evaluation ◽  
The Relationship ◽  
Dynamics Method

City is a kind of synthetic system, which is composed of social, economic and environmental aspects, how to achieve a sustainable development is an important problem for most cities in the world. This paper made a literature review from the composite index method, urban metabolism method and system dynamics method to summary and analysis the urban sustainable development evaluation of existing method. The composite index method is the most concise approach and easy to understand, urban metabolism method can observe the operation of whole city subsystems dynamically, while system dynamics method truly simulates the relationship among city subsystems.

Analysis of the Granularity of Task Decomposition in Enterprise Alliance Based on System Dynamics

2011 ◽  
Vol 314-316 ◽  
pp. 487-491
Author(s):  
Xian Zhang
Keyword(s):  
Qualitative Analysis ◽  
System Dynamics ◽  
System Dynamics Model ◽  
Key Factors ◽  
Dynamics Model ◽  
Task Decomposition ◽  
Proposed Model ◽  
Product Manufacturing ◽  
Manufacturing Time ◽  
Dynamics Method

The influence brought by the granularity of task decomposition on the key factors of enterprise aliance was studied based on system dynamics method. These factors includs inter-restriction, product manufacturing time, collaboration fee, Alliance leader benefit, capability and compatibility. Causality diagram and system dynamics model were established for these factors. This paper also developed a simulation program for the granularity of task decomposition based on the system dynamics model and validated the effectiveness of the proposed model by a qualitative analysis. The results show that it is a workable method to research the granularity of task decomposition in enterprise aliance using system dynamics theory.

The Relationship between Advertising on Video Website and User Experience: An Exploratory Research Based on System Dynamics

2013 ◽  
Vol 411-414 ◽  
pp. 2177-2183
Author(s):  
Yi Jun Huang ◽  
Yi Min Jia
Keyword(s):  
System Dynamics ◽  
User Experience ◽  
Real Data ◽  
Website Design ◽  
Exploratory Research ◽  
Financial Reports ◽  
Know How ◽  
Negative Effect ◽  
The Relationship ◽  
Dynamics Method

For video websites, advertising is an important method to earn operating funds. They always increase advertising to get more profit. Thus it may have a negative effect on user experience. In order to know how to reduce the negative effect, this paper offers a system dynamics method to analyze the relationship between advertising on video website and user experience. The model highlights six factors that affect user experience: level of advertising design, number of ads, level of website design, degree of advertising hidden, length of ads and degree of advertising mandatory. Real data are collected through financial reports and survey. Based on the simulation results, some opinions and suggestions for advertising are put up.

scholarly journals Rice Development Availability Model using System Dynamics Method

2019 ◽  
Vol 8 (3) ◽  
pp. 2741-2746
Keyword(s):  
System Dynamics ◽  
Agricultural Land ◽  
Performance Model ◽  
System Dynamics Model ◽  
Dynamics Model ◽  
Rice Consumption ◽  
Availability Model ◽  
Food Commodity ◽  
Dynamics Method ◽  
Existing Data

Rice is a strategic food commodity in Indonesia, so the availability and consumption needs of rice need to be considered. in line with population growth and the decline in the area of agricultural land also influences the management of rice availability and has the potential to become a rice supply deficit if it is not managed properly. The purpose of this paper is to develop a pattern of relations between rice availability and rice consumption so that a balance occurs in the management of rice availability. The method used is the System Dynamics model, where this method is able to formulate a complex system by utilizing historically existing data to form a model, therefore this approach is expected to form a performance model of balance between rice availability and consumption which can then be simulated to predict needs in the future so that it can be used for faster and more accurate decision making

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