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Stochastic-Petri net modeling and optimization for outdoor patients in building sustainable healthcare system considering staff absenteeism

Title
Stochastic-Petri net modeling and optimization for outdoor patients in building sustainable healthcare system considering staff absenteeism
Author
Sarkar, Biswajit
Keywords
stochastic-petri net modeling; sustainable healthcare system; staff absenteeism; patient's queue; mixed integer nonlinear programming
Issue Date
2019-06
Publisher
MDPI AG
Citation
MATHEMATICS, v. 7, No. 6, Article no. 499
Abstract
Sustainable healthcare systems are gaining more importance in the era of globalization. The efficient planning with sustainable resources in healthcare systems is necessary for the patient's satisfaction. The proposed research considers performance improvement along with future sustainability. The main objective of this study is to minimize the queue of patients and required resources in a healthcare unit with the consideration of staff absenteeism. It is a resource-planning model with staff absenteeism and operational utilization. Petri nets have been integrated with a mixed integer nonlinear programming model (MINLP) to form a new approach that is used as a solution method to the problem. The Petri net is the combination of graphical, mathematical technique, and simulation for visualizing and optimization of a system having both continuous and discrete characteristics. In this research study, two cases of resource planning have been presented. The first case considers the planning without absenteeism and the second incorporates planning with the absenteeism factor. The comparison of both cases showed that planning with the absenteeism factor improved the performance of healthcare systems in terms of the reduced queue of patients and improved operational sustainability.
URI
https://www.mdpi.com/2227-7390/7/6/499https://repository.hanyang.ac.kr/handle/20.500.11754/117052
ISSN
2227-7390
DOI
10.3390/math7060499
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > INDUSTRIAL AND MANAGEMENT ENGINEERING(산업경영공학과) > Articles
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