A Design and Engineering Methodology for Organization-based simulation model for operating room scheduling problems.

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Title: A Design and Engineering Methodology for Organization-based simulation model for operating room scheduling problems.
Authors: Yahia, Zakaria1 zakaria.yahia@fayoum.edu.eg, Iijima, Junichi2, Harraz, Nermine A.3, Eltawil, Amr B.4
Source: Simulation. May2017, Vol. 93 Issue 5, p363-378. 16p.
Subjects: Simulation methods & models, Operating room environmental engineering, Surgical technology, Preoperative period, Ontology, One-way analysis of variance
Abstract: Most of the current simulation models focus on implementation details without grasping the essence of the system, which makes it difficult to understand the core and the stable part of an enterprise. In this paper, we develop a Design and Engineering Methodology for Organization (DEMO)-based simulation model that combines simulation and the enterprise engineering approach in order to achieve a more holistic view of the enterprise. The four-aspect DEMO models are developed for the operating room scheduling problem, which enabled us to understand the business process from different perspectives. To develop the simulation model, an expanded DEMO with implementation model (DEMO++) is applied. The AnyLogic environment is used for execution. The model evaluates the operational performance of the case mix and master surgery plans that were developed in previous studies. The initial results show the simulation potential in the performance improvement of the operating room system. Furthermore, it makes understanding and exploring the system easier. [ABSTRACT FROM AUTHOR]
Copyright of Simulation is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="JN" term="%22Simulation%22">Simulation</searchLink>. May2017, Vol. 93 Issue 5, p363-378. 16p.
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  Data: <searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink><br /><searchLink fieldCode="DE" term="%22Operating+room+environmental+engineering%22">Operating room environmental engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Surgical+technology%22">Surgical technology</searchLink><br /><searchLink fieldCode="DE" term="%22Preoperative+period%22">Preoperative period</searchLink><br /><searchLink fieldCode="DE" term="%22Ontology%22">Ontology</searchLink><br /><searchLink fieldCode="DE" term="%22One-way+analysis+of+variance%22">One-way analysis of variance</searchLink>
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  Data: Most of the current simulation models focus on implementation details without grasping the essence of the system, which makes it difficult to understand the core and the stable part of an enterprise. In this paper, we develop a Design and Engineering Methodology for Organization (DEMO)-based simulation model that combines simulation and the enterprise engineering approach in order to achieve a more holistic view of the enterprise. The four-aspect DEMO models are developed for the operating room scheduling problem, which enabled us to understand the business process from different perspectives. To develop the simulation model, an expanded DEMO with implementation model (DEMO++) is applied. The AnyLogic environment is used for execution. The model evaluates the operational performance of the case mix and master surgery plans that were developed in previous studies. The initial results show the simulation potential in the performance improvement of the operating room system. Furthermore, it makes understanding and exploring the system easier. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Simulation is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1177/0037549716687376
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      – Code: eng
        Text: English
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        PageCount: 16
        StartPage: 363
    Subjects:
      – SubjectFull: Simulation methods & models
        Type: general
      – SubjectFull: Operating room environmental engineering
        Type: general
      – SubjectFull: Surgical technology
        Type: general
      – SubjectFull: Preoperative period
        Type: general
      – SubjectFull: Ontology
        Type: general
      – SubjectFull: One-way analysis of variance
        Type: general
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      – TitleFull: A Design and Engineering Methodology for Organization-based simulation model for operating room scheduling problems.
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            NameFull: Iijima, Junichi
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            NameFull: Harraz, Nermine A.
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            NameFull: Eltawil, Amr B.
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              M: 05
              Text: May2017
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              Y: 2017
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