Simulation modeling is a useful tool to produce a quantitative decision support in different application areas. It is extremely useful for predicting the constant changes that take place in a highly dynamic context such as that of services. This paper examines the wide-spread problem of extended waiting times for health services, considering a regional private hospital, through building and validation of a computer simulation model. Using Arena simulation software for modeling, analysis, visualization, and optimization of the patient flow within the service structure considered. The model will be utilized to simulate the impacts of different proposed operating strategies on waiting time and throughput rate for patients. The objective is to identify those strategies which lead to higher efficiency for the hospitals resources without decreasing in the quality for the patient care.

A simulation/optimization approach to support resource allocation in a service firms

Romano E;
2018-01-01

Abstract

Simulation modeling is a useful tool to produce a quantitative decision support in different application areas. It is extremely useful for predicting the constant changes that take place in a highly dynamic context such as that of services. This paper examines the wide-spread problem of extended waiting times for health services, considering a regional private hospital, through building and validation of a computer simulation model. Using Arena simulation software for modeling, analysis, visualization, and optimization of the patient flow within the service structure considered. The model will be utilized to simulate the impacts of different proposed operating strategies on waiting time and throughput rate for patients. The objective is to identify those strategies which lead to higher efficiency for the hospitals resources without decreasing in the quality for the patient care.
2018
Discrete Event Simulation
service system
resource management
decision support system
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14086/306
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