scholarly journals Visualized System Dynamics models as Information and Planning Tools

10.28945/2693 ◽  
2003 ◽  
Author(s):  
Hanne-Lovise Skartveit ◽  
Katherine J. Goodnow ◽  
Magnhild Viste
Keyword(s):  
System Dynamics ◽  
Dynamic Models ◽  
System Dynamic ◽  
Time System ◽  
Management Tools ◽  
Client Group ◽  
Stocks And Flows ◽  
Graphic Complexity ◽  
New Research ◽  
Dynamics Models

In this paper, we describe the use of visualization of system dynamics models as client information and management tools. System dynamics is a methodology for analyzing and understanding how complex systems change over time. System dynamic models have been developed for a broad range of information to client applications - from resource management problems to the mapping of stocks and flows on factory floors. The problem faced by many users of system dynamic models is their graphic complexity for users not trained in the field. This paper addresses new research into visualization of system dynamics models to make client information more efficient and accessible. This research involves the use of narrative, video and sound embedded in statistical material. This paper also considers one particular client group - that of politicians, planners and civil society in developing countries.

Research on Multilevel Inventory Control of FMCG Industry Based on System Dynamics

2012 ◽  
Vol 157-158 ◽  
pp. 1212-1219
Author(s):  
Bin Yang ◽  
Shu Qin Li ◽  
Chao Zhang
Keyword(s):  
Supply Chain ◽  
System Dynamics ◽  
Inventory Control ◽  
Inventory Management ◽  
Dynamic Models ◽  
Service Level ◽  
System Dynamic ◽  
Good Prospect ◽  
Control Loop ◽  
Model And Simulation

In this paper, the method of system dynamics is applied for the supply chain inventory management in FMCG industry. Based on the analysis of three-level supply chain inventory control loop, this paper establishes system dynamic models related profits and the service level of 2&3-level supply chain. After testing the validity of the model, the writer does some simulation through the system dynamics software Vensim．In addition, the model and simulation described in the paper are highly understandable and practicable, and thus have a very good prospect of application.

Magnifying Drivers of City Transformation through System Dynamics Models

2013 ◽  
Vol 779-780 ◽  
pp. 1176-1179
Author(s):  
Thokozani Simelane ◽  
Kevin Duffy ◽  
Brian Pearce
Keyword(s):  
Population Growth ◽  
Dynamic Models ◽  
Synergistic Effects ◽  
System Dynamic ◽  
Population Increase ◽  
Urban Migration ◽  
The Past ◽  
Residential Demand ◽  
Dynamics Models ◽  
The City

Population dynamics and its associated impacts in the cities derive from the synergistic effects of primary and secondary factors. These factors work together to effect the transformation of cities through population increase. In the past, these factors have been studied discretely. With the emergence of system dynamic models and their abilities to capture and magnify relationships between variables, it has been demonstrated that secondary factors like income, which positively influence urban migration (as a primary factor), have direct effect on the attractiveness of a city. This is linked to population growth, which ultimately transforms the outlook of the city. This finding has brought forth a consideration that continuous transformation of cities is due to a number of interrelated factors that work together to identify city characteristics. These in most cases are expressed through various forms such as urban congestion, residential demand, city decay, environmental degradation or high levels of crime. This study has shown that relationships between factors that bring city transformation through population growth are, in fact, indirect and cryptic. Through system dynamic models and their abilities to magnify and express relationships between variables using causal loops and feed-back diagrams these cryptic relationships have been clearly magnified.

A Brief Introduction to System Dynamics (SD)

2020 ◽  
pp. 121-130
Author(s):  
Yuri G. Raydugin
Keyword(s):  
Monte Carlo ◽  
Differential Equations ◽  
System Dynamics ◽  
Analytical Solutions ◽  
Feedback Loops ◽  
System Dynamic ◽  
Dynamics Models

This chapter introduces all main concepts of system dynamics (levels/stocks, flows/rates, variables, feedback loops, etc.). It represents a ‘crash course’ on system dynamics. It is used for development of project system dynamics models in Chapter 7 that mirror project Zemblanity Monte Carlo modelling undertaken in Chapter 5. System dynamic concepts are introduced using a so-called bathtub (BT) model. Five versions of the BT model are introduced through corresponding differential equations. All considered differential equations have analytical solutions. All five workable BT system dynamics models are available on the book’s companion website.

Vibration and sound radiation analysis of the final drive assembly considering the gear-shaft coupling dynamics

2016 ◽  
Vol 230 (7-8) ◽  
pp. 1258-1275 ◽  
Author(s):  
Yawen Wang ◽  
Junyi Yang ◽  
Dong Guo ◽  
Teik C Lim
Keyword(s):  
Dynamic Models ◽  
Acoustic Analysis ◽  
Bending Moment ◽  
Moment Of Inertia ◽  
System Dynamic ◽  
Dynamic Responses ◽  
Propeller Shaft ◽  
Hypoid Gear ◽  
Gyroscopic Effect ◽  
Gear Mesh

A generalized dynamic model of driveline system is formulated that includes the coupling effect and gyroscopic moments of the propeller shaft and hypoid gear rotor assembly. Firstly, the dynamic models with only gear-shaft coupling, with only gyroscopic effect, and with both gear-shaft coupling and gyroscopic effect are analyzed and compared. The results show that the combined effects of the gear-shaft interaction and gyroscopic behavior have considerable influence on the system dynamic responses surrounding gear bending resonances, especially for the bearing responses. However, the gear out-of-phase torsional modes still dominate the gear mesh frequency response. Secondly, the influence of pinion bending moment of inertia, propeller shaft stiffness and bearing stiffness on the system dynamic responses are examined. The system responses are then applied to perform further vibration and acoustic analysis for an axle housing structure. Computational results reveal that NVH (noise, vibration, and harshness) refinement can be achieved by tuning the pinion bearing rotational stiffness and pinion bending moment of inertia for the example considered. This study provides an understanding of the interaction between hypoid gear pair and propeller shaft, and can be employed to enhance driveline system design.

With the Backlash Dynamics Simulation of a Crank-Slider Mechanism of the Internal Combustion Engine

2012 ◽  
Vol 215-216 ◽  
pp. 1081-1084
Author(s):  
Shao Jun Bo ◽  
Kui Ji ◽  
Juan Tian
Keyword(s):  
System Dynamics ◽  
Combustion Engine ◽  
Dynamics Simulation ◽  
Kinematic Pair ◽  
Body System ◽  
Nonlinear Characteristics ◽  
Preliminary Study ◽  
Multi Body ◽  
Dynamics Models ◽  
Crank Mechanism

On the basis of flexible multi-body system dynamics theory, we built flexible multi-body system dynamics models which include a backlash, and to a slider-crank mechanism as the research object, we made a preliminary study on the effect on the flexible components and the backlash of the kinematic pair on mechanical system dynamics characteristics. To consider the backlash of the kinematic pair and component of flexible space can show a preliminary research on the dynamic simulation, and focus on the backlash, friction and gravity field to influence in the dynamic characteristics of the system. The simulation results show that, due to the existence of backlash made the two components frequent collision in the process of the stretching, clearance, flexible and friction are closed, make the system nonlinear characteristics increased.

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