A Simulation Approach to Facilitate Parallel and Distributed Discrete-Event Simulator Development

2006 ◽  
Author(s):  
Roland Ewald ◽  
Jan Himmelspach ◽  
Adelinde M. Uhrmacher ◽  
Dan Chen ◽  
Georgios K. Theodoropoulos
Keyword(s):  
Discrete Event ◽  
Simulation Approach ◽  
Discrete Event Simulator

scholarly journals Modeling Clinical Outcomes in Prostate Cancer: Application and Validation of the Discrete Event Simulation Approach

2018 ◽  
Vol 21 (4) ◽  
pp. 416-422 ◽  
Author(s):  
Feng Pan ◽  
Odette Reifsnider ◽  
Ying Zheng ◽  
Irina Proskorovsky ◽  
Tracy Li ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Clinical Outcomes ◽  
Discrete Event Simulation ◽  
Discrete Event ◽  
Simulation Approach ◽  
Event Simulation

scholarly journals Hospital beds and personal protective equipment planning for COVID-19 pandemic: A computer simulation approach

2020 ◽  
Author(s):  
Yiruo Lu ◽  
Yongpei Guan ◽  
Jennifer Fishe ◽  
Thanh Hogan ◽  
Xiang Zhong
Keyword(s):  
Computer Simulation ◽  
Personal Protective Equipment ◽  
Census Data ◽  
Discrete Event ◽  
Hospital Setting ◽  
Case Fatality ◽  
Protective Equipment ◽  
Simulation Approach ◽  
Number Of Patients ◽  
Hospital Resources

Abstract Health care systems are at the frontline to fight the COVID-19 pandemic. An emergent question for each hospital is how many general ward and intensive care unit beds are needed and how much personal protective equipment to be purchased. However, hospital pandemic preparedness has been hampered by a lack of sufficiently specific planning guidelines. In this paper, we developed a computer simulation approach to evaluating bed utilizations and the corresponding supply needs based on the operational considerations and constraints in individual hospitals. We built a data-driven SEIR model which is adaptive to control policies and can be utilized for regional forecast targeting a specific hospital’s catchment area. The forecast model was integrated into a discrete-event simulation which modeled the patient flow and the interaction with hospital resources. We tested the simulation model outputs against patient census data from UF Health Jacksonville, Jacksonville, FL. Simulation results were consistent with the observation that the hospital has ample bed resources to accommodate the regional COVID patients. After validation, the model was used to predict future bed utilizations given a spectrum of possible scenarios to advise bed planning and stockpiling decisions. Lastly, how to optimally allocate hospital resources to achieve the goal of reducing the case fatality rate while helping a maximum number of patients to recover was discussed. This decision support tool is tailored to a given hospital setting of interest and is generalizable to other hospitals to tackle the pandemic planning challenge.

Simulation for Business Engineering of Electronic Markets

2011 ◽  
pp. 163-169
Author(s):  
Marijn Janssen ◽  
Henk G. Sol
Keyword(s):  
Information Systems ◽  
Discrete Event ◽  
Electronic Markets ◽  
Simulation Approach ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Market Structures ◽  
Information And Communication ◽  
Business Engineering ◽  
Insight Into

Developments in Information and Communication Technology (ICT) enable information systems to intermediate between sellers and buyers in electronic markets (e-markets). A business engineering methodology can be of help to design and develop e-markets by providing insight into current market and potential e-market structures, matching mechanisms and processes, and by evaluating the implications of e-markets. In this chapter, a first concept of an interactive, discrete-event, agent-based simulation approach for the analyses and design of e-markets is presented and evaluated.

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