scholarly journals Transforming a Liability into an Asset: A System Dynamics Model for Free-Ranging Dog Population Management

Systems ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 56
Author(s):  
Urmila Basu Mallick ◽  
Marja H. Bakermans ◽  
Khalid Saeed

Using Indian free-ranging dogs (FRD) as a case study, we propose a novel intervention of social integration alongside previously proposed methods for dealing with FRD populations. Our study subsumes population dynamics, funding avenues, and innovative strategies to maintain FRD welfare and provide societal benefits. We develop a comprehensive system dynamics model, featuring identifiable parameters customizable for any management context and imperative for successfully planning a widescale FRD population intervention. We examine policy resistance and simulate conventional interventions alongside the proposed social integration effort to compare monetary and social rewards, as well as costs and unintended consequences. For challenging socioeconomic ecological contexts, policy resistance is best overcome by shifting priority strategically between social integration and conventional techniques. The results suggest that social integration can financially support a long-term FRD intervention, while transforming a “pest” population into a resource for animal-assisted health interventions, law enforcement, and conservation efforts.

2019 ◽  
Vol 11 (21) ◽  
pp. 6045 ◽  
Author(s):  
Qiang Yan ◽  
Simin Zhou ◽  
Xiaoyan Zhang ◽  
Ye Li

In this paper, we build a causal interaction diagram between the factors that may influence the sales and profits of online stores. An online store’s real operation data were used to help determine the causal relationship between variables. Finally, we proposed a system dynamics model and conducted a simulation of the operation of an online store. In this model, we focused on the impact of promotion and positive/negative electronic word of mouth (e-WOM) on the sales and profits of the online stores. The simulation results showed a similar trend to the real data and the main research finding showed that promotion is not a long-term measure for the sustainable development of online stores. Excessive promotion effort may lead to consumers’ dissatisfaction leading the increase of negative e-WOM. The systematic simulation can help us understand better the long-term effect of promotion and e-WOM on the operation of online stores. Finally, we gave some management suggestions for online stores’ sustainable operations.


2016 ◽  
Vol 43 (6) ◽  
pp. 511-522 ◽  
Author(s):  
Roozbeh Rashedi ◽  
Tarek Hegazy

Sustaining acceptable service in large facility networks is a complex task, particularly under limited budgets, rapid deterioration, and increasing service demands. Policy-makers are, therefore, challenged to make efficient balance between the construction of new facilities and the renewal of existing ones to suit both the short and the long-term needs. To support policy-makers, this paper proposes an efficient decision support system using the system dynamics simulation technique to analyze the impact of various budget allocation policies and to optimize policy decisions. The proposed system dynamics model was tested using a case study from the Toronto District School Board involving more than 400 schools. It can find the optimum budgeting strategy that minimizes the overall facility condition index and total life cycle cost over a long-term strategic plan. The system dynamics model proved its ability to find a budget allocation policy with much better results than the typical enrolment-based approach.


1999 ◽  
Vol 25 (4) ◽  
pp. 239-255 ◽  
Author(s):  
D.P van Vuuren ◽  
B.J Strengers ◽  
H.J.M De Vries

2015 ◽  
Vol 713-715 ◽  
pp. 1914-1917
Author(s):  
Pei Qin Qi ◽  
Yong Feng Chen

This article analysis the fundamental reasons of the universities recruiting excellent students from the perspective of systems engineering and establish a system dynamics model. Using vensim analysis the impact of recruiting , cultivating excellent students and the loss of them on the total amount of excellent students. While Long-term state of the system is predicted. Through comparing the two programs that the initial cultivation degree and recruiting efficiency are respectively as independent variables and the total amount of excellent students as dependent variable it can provide a reference for the system of university recruiting.


Organizacija ◽  
2012 ◽  
Vol 45 (5) ◽  
pp. 212-218 ◽  
Author(s):  
Črtomir Rozman ◽  
Karmen Pažek ◽  
Jernej Prišenk ◽  
Andrej Škraba ◽  
Miroljub Kljajić

This paper presents the system dynamics model of organic farming development in order to support decision making. The model seeks answers to strategic questions related to the level of organically utilized area, levels of production and crop selection in a long-term dynamic context. The model will be used for simulation of different policy scenarios for organic farming and their impact on economic and environmental parameters of organic production at an aggregate level. Using the model, several policy scenarios were performed.


Author(s):  
Miguel Poblete-Cazenave

AbstractThe COVID19 pandemic has created a massive shock, unexpectedly increasing mortality levels and generating economic recessions all around the world. In recent years, several efforts have been made to develop models that link the environment, population and the economy which may be used to estimate potential longer term effects of the pandemic. Unfortunately, many of the parameters used in these models lack appropriate empirical identification. In this study, first I estimate the parameters of “Wonderland”, a system dynamics model of the population-economy-environment nexus, and posteriorly, add external GDP and mortality shocks to the model. The estimated parameters are able to closely match world data, while future simulations point, on average and regardless of the COVID19 pandemic, to a world reaching dangerous environmental levels in the following decades, in line with consensus forecasts. On the other hand, the effects of the pandemic on the economy are highly uncertain and may last for several decades.


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