scholarly journals A Bottom-Up Supply-Side Simulation Model of Residential and Community Energy Systems using System Dynamics

2021 ◽  
Author(s):  
Bilal Bugaje ◽  
◽  
Peter Rutherford ◽  
Mike Clifford ◽  
◽  
...  
Keyword(s):  
System Dynamics ◽  
Simulation Model ◽  
Energy Systems ◽  
Supply Side ◽  
Bottom Up

A Model-Based Exploration and Policy Analysis Related to Prostitution and Human Trafficking

2014 ◽  
Vol 3 (4) ◽  
pp. 36-64 ◽  
Author(s):  
András Kővári ◽  
Erik Pruyt
Keyword(s):  
System Dynamics ◽  
Policy Analysis ◽  
Simulation Model ◽  
Human Trafficking ◽  
Simulation Models ◽  
Dynamics Simulation ◽  
Supply Side ◽  
Demand Side ◽  
Deep Uncertainty ◽  
Model Based

This paper presents a model-based exploration and policy analysis related to prostitution and prostitution-related human trafficking. After a brief introduction to prostitution and prostitution-related human trafficking, the paper zooms in on the Dutch situation. A System Dynamics simulation model related to the Dutch situation developed to explore and provide policy insights is subsequently presented. Using the simulation model, policies are first of all tested, and preliminary conclusions are drawn. These preliminary conclusions are further tested under deep uncertainty, using variants of the simulation models. The final conclusions are that supply side measures alone are counter-productive and that demand side measures are necessary but insufficient to solve prostitution-related human trafficking.

A system dynamics simulation model for water conflicts in the Zhanghe River Basin, China

2021 ◽  
pp. 1-17
Author(s):  
Liang Yuan ◽  
Weijun He ◽  
Dagmawi Mulugeta Degefu ◽  
Zhongchi Wan ◽  
Thomas Stephen Ramsey ◽  
...  
Keyword(s):  
System Dynamics ◽  
Simulation Model ◽  
River Basin ◽  
Dynamics Simulation ◽  
Water Conflicts ◽  
System Dynamics Simulation

Simulation Model of Cultural Industry Agglomeration Based on SD-System Dynamics Theory

2013 ◽  
Vol 584 ◽  
pp. 312-317
Author(s):  
Yong Jun He ◽  
Li Ping Fu
Keyword(s):  
System Dynamics ◽  
Simulation Model ◽  
Cultural Industries ◽  
Cultural Industry ◽  
Distinctive Character ◽  
Industry Agglomeration ◽  
Research Situation

The experience of countries and regions with developed cultural industries has shown that environment of gathering development could boost the cultural industries with distinctive character and good brand, which supports the development of the whole regional cultural industries. Gathering development could strongly bring the cultural industry stronger. This paper, on the current research situation of cultural industry agglomeration studying, introduces system dynamics theory into the research of cultural industry gathering, builds its model on system dynamics theory.

System Dynamics Modeling for Strategic Management of Green Supply Chain

2011 ◽  
pp. 2617-2649 ◽  
Author(s):  
Ying Su ◽  
Zhanming Jin ◽  
Lei Yang
Keyword(s):  
Supply Chain ◽  
System Dynamics ◽  
Strategic Management ◽  
Simulation Model ◽  
Environmental Issues ◽  
Green Supply Chain ◽  
System Dynamics Modeling ◽  
Dynamics Modeling ◽  
Reverse Supply Chains ◽  
Performance Measurement Systems

Environmental issues are rapidly emerging as one of the most important topics in strategic manufacturing decisions. Perusal of the literature has shown many models to support executives in the assessment of a company’s environmental performance. Unfortunately, none of these identifies operating guidelines on how the systems should be adapted to support the deployment of different types of green supply-chain strategies. This chapter seeks to investigate how system dynamics modeling can be supportive for management of feasible green supply-chain strategies. Besides conceptual considerations, we base our arguments on the development of efficient performance measurement systems for remanufacturing facilities in reverse supply chains, taking into account not only economic but also environmental issues. The behavior of the green supply-chain management under study is analyzed through a simulation model based on the principles of the system dynamics methodology. The simulation model can be helpful for green strategic management as an experimental tool, which can be used to evaluate alternative long-term strategies (“what-if” analysis) using total supply chain profit as measure of strategy effectiveness. Validation and numerical experimentation further illustrate the applicability of the developed methodology, while providing additional intuitively sound insights.

Dealing with Multiple Models in System Dynamics

2014 ◽  
Vol 3 (4) ◽  
pp. 17-35 ◽  
Author(s):  
Willem L. Auping ◽  
Erik Pruyt ◽  
Jan H. Kwakkel
Keyword(s):  
System Dynamics ◽  
Simulation Models ◽  
Dynamics Simulation ◽  
Multiple Models ◽  
Top Down ◽  
Bottom Up ◽  
New Approach ◽  
Behavioural Patterns ◽  
Copper Availability

This paper introduces an approach to compare simulation runs from multiple System Dynamics simulation models. Three dynamic hypotheses regarding the uncertain evolutions of long-term copper availability are introduced and used to illustrate the new approach. They correspond to three different perspectives on the copper system (global top-down, global bottom-up, and regional top-down). Although each of these models allows to generate a wealth of behavioural patterns, the focus in this paper is on the differences in trajectories caused by different models for identical values of shared parameters and identical settings of other assumptions, not on differences in behavioural patterns caused by each of the models. Hence, differences in trajectories between the three models are identified, quantified, and classified based on a quantified measure of difference. For these models, small differences between the trajectories are only found in stable runs, while the alternative perspectives are largely responsible for medium to large differences. Hence, it is concluded that multiple dynamic hypotheses may have to be modelled when dealing with uncertain issues.

Bottom-up modeling approach and mesoscopic simulations in traffic system dynamics models

SIMULATION ◽  
2019 ◽  
Vol 96 (3) ◽  
pp. 313-324
Author(s):  
V Bureš ◽  
L Režný ◽  
M Zanker
Keyword(s):  
System Dynamics ◽  
Real Life ◽  
Building Blocks ◽  
Transportation Systems ◽  
Dynamics Modeling ◽  
Road Transportation ◽  
Bottom Up ◽  
Modeling Approach ◽  
Potential System ◽  
Mesoscopic Simulations

The application of system dynamics modeling in various domains enables its continuous development and improvement. Transportation systems are associated with a necessity to tame their complexity. Despite its potential, system dynamics as a specific methodological and modeling approach is implemented only occasionally and application to road transportation systems is sporadic. Existing studies focus mostly on a macroscopic level of modeling. Thus, this study demonstrates how system dynamics can develop and simulate models at the meso level. It is based on an unconventional bottom-up modeling approach grounded in the modeling of T-shaped, X-shaped, and roundabout crossroads as fundamental building blocks. Model modularity enables its extension to any type of road network with the required structure or complexity. Model applicability is verified by testing on a case study in real-life settings. Modeling issues associated with this modeling approach and application domain are explained and possible solutions proposed. By developing a bottom-up approach and mesoscopic simulations, this study brings uniqueness and a certain level of novelty into the realm of system dynamics and traffic transportation modeling and simulation.

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