System dynamics model for simulation of the dynamics of corneal transplants

Devi, S. Prasanna; Rao, Koppula Srinivas; Srihari, K.

doi:10.1007/s12597-010-0023-0

Cited by 5 publications

(2 citation statements)

References 8 publications

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“…To the best of our knowledge, there is no application example of systematic dynamic models in the context of liver transplantation. However, examples of kidney[ 37 ] and corneal[ 38 ] transplantation showed that the predicted number of transplantations are consistent with observed results, which indicates the potential usefulness of system dynamic models for this field.…”

Section: What Is Decision Modelling?supporting

confidence: 76%

Decision modelling for economic evaluation of liver transplantation

Krauth

Amelung

et al. 2018

WJH

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As the gap between a shortage of organs and the immense demand for liver grafts persists, every available donor liver needs to be optimized for utility, urgency and equity. To overcome this challenge, decision modelling might allow us to gather evidence from previous studies as well as compare the costs and consequences of alternative options. For public health policy and clinical intervention assessment, it is a potentially powerful tool. The most commonly used types of decision analytical models include decision trees, the Markov model, microsimulation, discrete event simulation and the system dynamic model. Analytic models could support decision makers in the field of liver transplantation when facing specific problems by synthesizing evidence, comprising all relevant options, generalizing results to other contexts, extending the time horizon and exploring the uncertainty. For modeling studies of economic evaluation for transplantation, understanding the current nature of the disease is crucial, as well as the selection of appropriate modelling techniques. The quality and availability of data is another key element for the selection and development of decision analytical models. In addition, good practice guidelines should be complied, which is important for standardization and comparability between economic outputs.

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Section: What Is Decision Modelling?supporting

confidence: 76%

Decision modelling for economic evaluation of liver transplantation

Krauth

Amelung

et al. 2018

WJH

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“…In the education field, Pedamallu et al (2010) applied a system dynamics model to evaluate educational infrastructure based on the quality of primary school of a developing country. In health area, Devi et al (2010) studied system dynamics modeling for the waiting list of corneal transplants patients, and Al-Khatib et al suggested a more understandable and sophisticated simulation method for hospital waste management by using system dynamics model (2016). Aside from many areas, system dynamics models can be proposed about WEEE as well.…”

Section: Introductionmentioning

confidence: 99%

An Integrated Model of System Dynamics and Fuzzy Cognitive Mapping Approach for Waste Management in Turkey

2019

Global NEST: The International Journal

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<p>Waste management is one of the most crucial part of the sustainability concept. In Turkey, waste management of the small household appliances under waste of electrical and electronic equipment (WEEE) category still remains as an issue to handle although its production is very large and long-established. The main reason is that many of the household appliances’ wastes are not properly treated in waste management process despite the fact that Turkey is a country which has recovery and collection targets. This outboard of wastes non-treated in an environmentally friendly way, such as recycling or reuse, gives rise to environmental damage. The aim of this paper is to integrate a system dynamics and fuzzy cognitive mapping model in order to evaluate and develop recovery options of small household appliances’ wastes which are not treated according to the regulations in Turkey. The first part of the proposed model is to build a system dynamics model by developing recovery options for small household appliances’ waste management while the second part is to evaluate the relations between supporting factors of recovery options by using Fuzzy Cognitive Mapping.</p>

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A business dynamics model in entrepreneurial orientation for employees

Krishnakumar

Devi²,

Rao³

2013

Industrial and Commercial Training

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PurposeThe purpose of this paper is to design and develop a business dynamics model in entrepreneurial orientation for employees (EOE).Design/methodology/approachThe mental model uses the casual loops, stock and flow diagrams in the business dynamics model. Hiring rate, Quit rate, Skill rate, Skill growth rate, EOE skill inventory rate, Performance rate etc. were defined and used with EOE metrics governing the model. VENSIM software package was used to simulate and validate the model using sensitivity analysis. The case study method was used to experiment a pre/post EOE training intervention with employees in an ITES organisation in India. Using a validated EOE questionnaire, data were captured from employees in an ITES organisation in Chennai, for validation of business dynamics model.FindingsThe time frame for imparting initial EOE training and retraining time after EOE training were simulated and results were summarised.Research limitations/implicationsFuture researchers can extend this work and apply in other industries and geographies also. Any organisation can customise and utilise the business dynamics EOE model as per their requirementsPractical implicationsThe model facilitates the measurement of both individual employee performance as well as organisational performance. The EOE business dynamics model contributes to the development of two indices namely entrepreneurial orientation for employees index (EOEI) and organisational performance index (OPI). The policy planners, human resource strategists, management consultants can utilise the business dynamics EOE model for effective decision making, budgetary allocations towards training initiatives and so on.Originality/valueThe model is a novel and first of its kind using business dynamics in entrepreneurial orientation for employees. The human resource planners can use this model for forecasting the man power needs as well as skill development, employee empowerment and organisational development.

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System dynamics model for simulation of the dynamics of corneal transplants

Cited by 5 publications

References 8 publications

Decision modelling for economic evaluation of liver transplantation

Decision modelling for economic evaluation of liver transplantation

An Integrated Model of System Dynamics and Fuzzy Cognitive Mapping Approach for Waste Management in Turkey

A business dynamics model in entrepreneurial orientation for employees

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