scholarly journals Design and Simulation of a Digital Twin Mobility Concept: An Electric Aviation System Dynamics Case Study with Capacity Constraints

2022 ◽  
Vol 12 (2) ◽  
pp. 848
Author(s):  
Philipp Winkler ◽  
Sergio Gallego-García ◽  
Marcel Groten
Keyword(s):  
System Dynamics ◽  
Capacity Constraints ◽  
Dynamics Simulation ◽  
Long Distance ◽  
Sustainable Operations ◽  
Digital Twin ◽  
On Demand ◽  
Customer Order ◽  
Vertical Mobility

Vertical mobility, as a commercial service, has been strongly focused on the scheduled volume and long-distance mobility services. Thus, limiting its potential coverage, flexibility, and adaptability with high investments and centralized mobility hubs, called airports. In this context, a customized and on-demand air mobility concept providing high flexibility in location combinations and time schedules appears as an unexplored challenge for regional mobility needs. As a result, the aim of this research is to provide a generic framework for various mobility means as well as to design a holistic air mobility management concept for electric vertical mobility for profitable and sustainable operations by providing a service to society. A system dynamics simulation case study applies the conceptual model for an on-demand air mobility network of electric aircrafts in a regional area considering capacity constraints in vertiports, aircrafts, charging, and parking stations. Thus, bottlenecks and delays can be quantified by using a digital twin tool for customized scenarios. Simulation results show how an optimal maintenance management and redistribution of aircraft units improve service indicators in passenger quantity and customer order lead time as well as reduce aircraft on ground time. As a result, a digital twin air mobility network model with simulation capabilities is a key factor for successful operations.

System Dynamics Modeling for a Public–Private Partnership Program to Promote Bicycle–Metro Integration Based on Evolutionary Game

2021 ◽  
pp. 036119812110124
Author(s):  
Jianming Cai ◽  
Yue Liang
Keyword(s):  
System Dynamics ◽  
Evolutionary Game ◽  
Public Private Partnership ◽  
Dynamics Simulation ◽  
Rail Transit ◽  
Long Distance ◽  
Private Partnership ◽  
Bike Sharing ◽  
Integration Mode ◽  
Partnership Program

A marriage between dockless bike-sharing systems and rail transit presents new opportunities for sustainable transportation in Chinese cities. However, how to promote the bicycle–metro integration mode remains largely unstudied. This paper designs a public–private partnership program to promote bicycle–metro integration. We consider the cooperation between bike-sharing companies and rail transit companies to improve both services and attract long-distance travelers to choose the bicycle–metro integration mode, with government subsidies. To analyze the proportion of each population participating in this public–private partnership program, we establish an evolutionary game model considering bike-sharing companies, rail transit companies, and long-distance travelers, and obtain eight scenarios of equilibriums and corresponding stable conditions. To prove the evolutionary game analysis, we construct a system dynamics simulation model and confirm that the public–private partnership project can be achieved in reality. We discuss key parameters that affect the final stable state through sensitivity analysis. The results demonstrate that by reasonably adjusting the values of parameters, each equilibrium can be changed into an optimal evolutionary stable strategy. This study can provide useful policy implications and operational recommendations for government agencies, bike-sharing companies, and transit authorities to promote bicycle–metro integration.

System dynamics simulation model for inventory optimisation of manufacturers: a case study in electrical industry

2019 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Farimah Mokhatab Rafiei ◽  
Maryam Mofarrahi ◽  
Syed Ahmad Helmi ◽  
Masoud Rahiminezhad Galankashi
Keyword(s):  
System Dynamics ◽  
Simulation Model ◽  
Dynamics Simulation ◽  
Electrical Industry ◽  
System Dynamics Simulation

scholarly journals An Optimization-Based System Dynamics Simulation for Sustainable Policy Design in WEEE Management Systems

2021 ◽  
Vol 13 (20) ◽  
pp. 11377
Author(s):  
Camilo Llerena-Riascos ◽  
Sebastián Jaén ◽  
Jairo Rafael Montoya-Torres ◽  
Juan G. Villegas
Keyword(s):  
System Dynamics ◽  
Management System ◽  
Policy Design ◽  
Optimal Parameter ◽  
Environmental Benefits ◽  
Dynamics Simulation ◽  
Mixed Integer ◽  
Generation Process ◽  
Minlp Model

The increase in the use of electrical and electronic devices worldwide has created a rapid growth of waste of electrical and electronic equipment (WEEE). The current paper presents an optimization-based simulation (OBS) approach that allows the design of sustainable WEEE management system policies. The proposed OBS approach integrates a system dynamics (SD) model and a mixed-integer nonlinear programming (MINLP) model to improve the representation and performance of the WEEE processes considering their operative and strategic interdependence. The SD component elicits the complexity of the WEEE generation process. Complementarily, the MINLP model periodically optimizes key variables of the WEEE management system. Computational results in a case study based on WEEE from Colombian mobile phones illustrates how an approach solely based on SD simulation is unable to capture the operative-strategic nature of the system and perform optimal parameter updates. By contrast, the OBS approach of this paper outperforms an exclusive SD analysis both in the economic and environmental performance of the system. It obtains 33% more profits and 65% more environmental benefits. Moreover, for this case study, the model suggests that the cornerstone of the WEEE management system for increasing its performance is the replacement rate.

scholarly journals GeoSocialVis: Visualizing Geosocial Academic Co-Authorship Networks by Balancing Topology- and Geography- Based Layouts

2020 ◽  
Author(s):  
David Saffo ◽  
Michail Schwab ◽  
Michelle Borkin ◽  
Cody Dunne
Keyword(s):  
Information Visualization ◽  
Social Groups ◽  
Social Aspect ◽  
Visualization Tool ◽  
Long Distance ◽  
On Demand ◽  
Publication Data ◽  
The Social ◽  
Data Source

In many domains, it is important to understand both the topology and geography of a network. E.g., for researchers it is important to understand the topics in a field, where this research is taking place, and which researchers collaborate. Geography plays a key role in collaboration as it is more feasible with physical proximity. Researchers are also likely to continue existing collaborations. The interplay between topology and geography is of particular interest. Within Institution collaborations are different in nature from far-distance collaborations, as long-distance collaborations often occur less out of convenience but for more complementary expertise. These long distance collaborations can connect otherwise separate social groups. However, existing approaches either focus on the geospatial location of researchers, or on the social aspect of collaborations alone. We present GeoSocialVis, an interactive visualization tool for scientometrics analyses with a focus on displaying the geosocial co-authorship network. GeoSocialVis uses a novel force layout that strikes a user-defined balance between showing network topology and the geographic locations of the authors. Users can explore relevant publications, researchers, groups, and institutions by adjusting the balance between topology and geography, searching by keywords, and with details-on-demand. We demonstrate the utility of GeoSocialVis with a case study with IEEE Information Visualization 2008–2018 publication data. Source code and an interactive demo are available online at dsaffo.github.io/GeoSocialVis

scholarly journals Planning robust policing futures: modelling using multimethodology

2015 ◽  
Vol 115 (3) ◽  
pp. 462-482
Author(s):  
Jonathan Moizer ◽  
David Carter ◽  
Shaofeng Liu
Keyword(s):  
System Dynamics ◽  
Service Providers ◽  
Scenario Planning ◽  
Dynamics Simulation ◽  
Group Model ◽  
Policy Options ◽  
Content Type ◽  
Multi Phase ◽  
Modelling Process

Purpose – The resourcing of policing activity is characterised by a level of complexity, particularly where evaluating alternative policy options is concerned. In this paper, a case study using multimethodological modelling to compare alterative policy choice in a group context is outlined with respect to response-patrol officer (RPO) deployment within a UK police force. The paper aims to discuss these issues. Design/methodology/approach – The application of a three phase modelling process is illustrated where scenario planning is used to generate the scope of the system elements to be modelled. This is followed by causal mapping to identify the barriers to improving officer resourcing, and system dynamics modelling is used to simulate the impacts of a range of policy options within this policing function. A group model building approach was applied throughout the modelling phases with an expert group to negotiate a shared view of the structure and dynamics of the resourcing policy challenges. Findings – A fully validated system dynamics model emerged from the multi-phase modelling process which allowed a series of alternative future policy scenarios to be explored and evaluated. Useful policy insights were generated by the system dynamics simulation model which suggested more efficient rules for resource allocation in the police force’s RPO function. Originality/value – The insights from this case study demonstrates that multi-phase modelling has potential application in policy exploration across a range of emergency service providers whose actions are governed by both variable demand and constrained supply of resource.

scholarly journals A System Dynamics Simulation Study on the Efficiency of Commercial Banks from the Perspective of Green Credit

2020 ◽  
Vol 8 ◽  
Keyword(s):  
System Dynamics ◽  
Commercial Banks ◽  
Dynamics Simulation ◽  
Flow Diagram ◽  
Financial Policies ◽  
Bank Efficiency ◽  
Functional Relations ◽  
The Impact ◽  
Selection Of

With the deepened commitment to the green credit policy and increasingly intense competition among commercial banks, the impact of green credit on the efficiency of commercial banks has attracted great attention from the banking industry and governments. To study the efficiency of commercial banks from the perspective of green credit, this paper, with a case study on Bank of Shanghai, builds a system dynamics model to present the causal loop diagram and system flow diagram and seek the functional relations between variables. Then it goes on to simulate the evolution of the policy situation with system dynamics and attempts to find out the change path and evolution direction of green credit and variables regarding bank efficiency when a certain policy is adjusted, with a view to providing theoretical basis and data support for formulation of financial policies and selection of bank strategies.

Prospective study using archetypes and system dynamics

2019 ◽  
Vol 32 (2) ◽  
pp. 181-202
Author(s):  
Patricio Vera ◽  
Christopher Nikulin ◽  
Monica Lopez-Campos ◽  
Rosa Guadalupe G. Gonzalez Ramirez
Keyword(s):  
System Dynamics ◽  
Large Scale ◽  
Expert Knowledge ◽  
Mining Industry ◽  
Real Data ◽  
Model Management ◽  
Dynamics Simulation ◽  
Content Type ◽  
Holistic Understanding

Purpose The purpose of this paper is to propose a combination of forecasting methods that enables a holistic understanding of a future situation, given certain influencing variables by a combination of real data and expert knowledge. Design/methodology/approach The proposal combines two well-known methods: first, system archetypes that correspond to generic structures, allowing us to handle model management issues, and second, system dynamics that offers technical support on a computational level to assess different scenarios or problem solutions. Findings The case study considers the situation of the mining industry in Chile and its related variables, including four different scenarios. Based on the proposed methodology, the results indicate that: first, the price of copper is paramount for the industry and its effects are not limited to company profits; second, a long period of downfall in copper prices could halt exploration and development projects. Research limitations/implications Systemic archetypes are still a subject of research and their application in different fields of knowledge continues to increase to improve this simulation approach. Practical implications The case study illustrates the combination of a Vester matrix and initial system archetype models that are enriched using the system dynamics approach. Indeed, the case study aims to understand the consequences of different scenarios based on the problem-driven approach provided by Vester. Social implications The goal of prospective studies of large-scale and complex situations is to model the real situation to obtain solutions that may enhance social welfare. Originality/value The proposed methodology contributes to the existing literature by integrating techniques such as the Vester matrix, system archetype modelling and system dynamics simulation, all of which were proposed previously in the literature as independent techniques.

scholarly journals System Dynamics Modeling of Dockless Bike-Sharing Program Operations: A Case Study of Mobike in Beijing, China

2019 ◽  
Vol 11 (6) ◽  
pp. 1601 ◽  
Author(s):  
Tianjian Yang ◽  
Ye Li ◽  
Simin Zhou
Keyword(s):  
System Dynamics ◽  
Traffic Congestion ◽  
Government Regulation ◽  
New Technologies ◽  
Urban Traffic ◽  
Dynamics Simulation ◽  
Dynamics Modeling ◽  
Improvement Strategies ◽  
Bike Sharing

In China, dockless bike-sharing programs (DBSPs) have changed people’s travel modes, alleviated urban traffic congestion, and reduced carbon emissions. However, a number of DBSPs have experienced financial crises since 2018. This means that research on DBSPs must be considered not only in terms of the environment and technology, but also in the operation of the program. In this paper, we modeled the DBSP operations in a certain area using a system dynamics simulation approach. The main purpose was to explore the dynamics of the program’s operation process and evaluate possible improvement strategies for maximizing the revenue of the overall DBSP. Specifically, the analysis focused on the economic profits of DBSPs in an environment of competition and government regulation. The research findings revealed that the dockless bike-sharing industry has great economic profits, but in the current environment, the market needs to be regulated by the local government. If a DBSP does not introduce new technologies or find new profit channels, it will be difficult to develop sustainably by only relying on riding profits. In addition, we provide a case study of Mobike’s operations in Beijing to support these findings and validate the developed model. Finally, we discuss Mobike’s possible improvement strategies.

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