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An Empirical Estimation Of Statistical Inferences For System Dynamics Model Parameters, Mohammed Mesabbah, Wael Rashwan, Amr Arisha
An Empirical Estimation Of Statistical Inferences For System Dynamics Model Parameters, Mohammed Mesabbah, Wael Rashwan, Amr Arisha
Conference papers
For system dynamics simulation (SD) models, an estimation of statistical distributions for uncertain parameters is crucial. These distributions could be used for testing models sensitivity, quality of policies, and/or estimating confidence intervals for these parameters. Assumptions related to normality, independence and constant variation are often misapplied in dynamic simulation. Bootstrapping holds a considerable theoretical advantage when used with non-Gaussian data for estimating empirical distributions for unknown parameters. Although it is a widely acceptable approach, it has had only limited use in system dynamics applications. This paper introduces an application of Direct Residual Bootstrapping (DRBS) for statistical inference in system dynamic …
Optimization Of Resources To Improve Patient Experience In The New Emergency Department Of Mater Hospital Dublin, Heba Habib, Waleed Abo-Hamad, Amr Arisha
Optimization Of Resources To Improve Patient Experience In The New Emergency Department Of Mater Hospital Dublin, Heba Habib, Waleed Abo-Hamad, Amr Arisha
Conference papers
Healthcare systems globally are facing capacity issues due to the increased demand of health services, the high cost of resources and the level of quality anticipated of service providers. Emergency Departments (ED) are the most pressurized unit in healthcare systems due to uncertainty in demand and limited resources allocated. Mater Hospital (one of leading hospitals) in Dublin has built a new (state-of-the-art) unit for ED yet faced an issue in resourcing the unit to optimize performance. This paper presents an integrated solution to optimize the capacity of the new ED before opening to public and examine improvement interventions in the …
Integrating Simulation Modelling And Value Stream Mapping For Leaner Capacity Planning Of An Emergency Department, Esmat Swallmeh, Ayman Tobail, Waleed Abo-Hamad, James Gray, Amr Arisha
Integrating Simulation Modelling And Value Stream Mapping For Leaner Capacity Planning Of An Emergency Department, Esmat Swallmeh, Ayman Tobail, Waleed Abo-Hamad, James Gray, Amr Arisha
Conference papers
Recently, the application of lean thinking in healthcare has grown significantly in response to rising demand, caused by population growth, ageing and high expectations of service quality. However, insufficient justifications and lack of quantifiable evidence are the main obstacles to convince healthcare executives to adopt lean philosophies. This paper presents a real application of the successful implementation of a methodology that integrates Value Stream Mapping (VSM) and simulation modelling to improve an emergency department (ED) of a University hospital in Dublin. Appling lean approach in operations will minimize the patient waiting time and improve service time. VSM points out to …