An analytical representation of flexible resource allocation in hospitals
| Autor: | Michael Thorwarth, Amr Arisha, Wael Rashwan |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
021103 operations research
Computer science Management science Simulation modeling 0211 other engineering and technologies Complex system Discrete event simulation 02 engineering and technology Management Science and Operations Research Industrial and Manufacturing Engineering Scheduling (computing) Management Sciences and Quantitative Methods Process management (computing) Risk analysis (engineering) Analytical representation Process management 0202 electrical engineering electronic engineering information engineering Resource allocation 020201 artificial intelligence & image processing Operations and Supply Chain Management Business Administration Management and Operations Representation (mathematics) Adaptation (computer science) Queuing theory |
| Zdroj: | Articles |
| ISSN: | 1936-6590 1936-6582 |
| DOI: | 10.1007/s10696-015-9216-4 |
| Popis: | Non-linear processes within complex systems are difficult to predict. Using discrete event simulation (DES) models can be helpful for presenting the uncertainty level embedded within these processes. However, the interpretations of the resulting outcomes can be challenging to analyze. This is evident when experimenting with simulation models, and therefore requires the adaptation of existing models. Introducing cyclic entities such as interconnected resources to the simulation model adds a new level of complexity to the model. In practical cases, decision makers often demand a model that enables them to make quick decisions with less complexity involved. However, these individuals still want to be assured of a high degree of accuracy in the results. This article demonstrates how an analytical representation of complex DES models can be developed in order to facilitate prompt yet effective solutions for decision makers. This analytical representation provides a brief overview of the simulation results by using the staff scheduling and nurses’ utilization approaches. Results of the effective use of DES model and managers feedback are encouraging. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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