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Applying queueing theory to the study of emergency department operations: a survey and a discussion of comparable simulation studies
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| Zeitschriftentitel: | International Transactions in Operational Research |
|---|---|
| Personen und Körperschaften: | , , |
| In: | International Transactions in Operational Research, 25, 2018, 1, S. 7-49 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Wiley
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| Schlagwörter: |
| author_facet |
Hu, Xia Barnes, Sean Golden, Bruce Hu, Xia Barnes, Sean Golden, Bruce |
|---|---|
| author |
Hu, Xia Barnes, Sean Golden, Bruce |
| spellingShingle |
Hu, Xia Barnes, Sean Golden, Bruce International Transactions in Operational Research Applying queueing theory to the study of emergency department operations: a survey and a discussion of comparable simulation studies Management of Technology and Innovation Management Science and Operations Research Strategy and Management Computer Science Applications Business and International Management |
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hu, xia |
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Hu, Xia Barnes, Sean Golden, Bruce 0969-6016 1475-3995 Wiley Management of Technology and Innovation Management Science and Operations Research Strategy and Management Computer Science Applications Business and International Management http://dx.doi.org/10.1111/itor.12400 <jats:title>Abstract</jats:title><jats:p>Queueing models are important tools for the design and management of emergency departments (EDs). In this survey, we examine the contributions of queueing theory (QT) in modeling EDs and assess the strengths and limitations of this application. We include a direct comparison to discrete‐event simulation when applied to similar problems, and discuss data acquisition and challenges associated with each method. Specifically, we review applications of QT from the perspective of demand‐ and supply‐side problems, as well as various methodological innovations developed to address the complexities of ED operations. In reviewing relevant articles published since 1970, we found that queueing models tend to oversimplify operations and underestimate congestion levels (especially for smaller systems), and obtain less realistic results than comparable simulation models. The combination of queueing and simulation is shown to be a powerful approach. Future efforts should exploit this and more widely available real‐world data.</jats:p> Applying queueing theory to the study of emergency department operations: a survey and a discussion of comparable simulation studies International Transactions in Operational Research |
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Applying queueing theory to the study of emergency department operations: a survey and a discussion of comparable simulation studies |
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Applying queueing theory to the study of emergency department operations: a survey and a discussion of comparable simulation studies |
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Applying queueing theory to the study of emergency department operations: a survey and a discussion of comparable simulation studies |
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Applying queueing theory to the study of emergency department operations: a survey and a discussion of comparable simulation studies |
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Applying queueing theory to the study of emergency department operations: a survey and a discussion of comparable simulation studies |
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Applying queueing theory to the study of emergency department operations: a survey and a discussion of comparable simulation studies |
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applying queueing theory to the study of emergency department operations: a survey and a discussion of comparable simulation studies |
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Management of Technology and Innovation Management Science and Operations Research Strategy and Management Computer Science Applications Business and International Management |
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2018 |
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<jats:title>Abstract</jats:title><jats:p>Queueing models are important tools for the design and management of emergency departments (EDs). In this survey, we examine the contributions of queueing theory (QT) in modeling EDs and assess the strengths and limitations of this application. We include a direct comparison to discrete‐event simulation when applied to similar problems, and discuss data acquisition and challenges associated with each method. Specifically, we review applications of QT from the perspective of demand‐ and supply‐side problems, as well as various methodological innovations developed to address the complexities of ED operations. In reviewing relevant articles published since 1970, we found that queueing models tend to oversimplify operations and underestimate congestion levels (especially for smaller systems), and obtain less realistic results than comparable simulation models. The combination of queueing and simulation is shown to be a powerful approach. Future efforts should exploit this and more widely available real‐world data.</jats:p> |
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| description | <jats:title>Abstract</jats:title><jats:p>Queueing models are important tools for the design and management of emergency departments (EDs). In this survey, we examine the contributions of queueing theory (QT) in modeling EDs and assess the strengths and limitations of this application. We include a direct comparison to discrete‐event simulation when applied to similar problems, and discuss data acquisition and challenges associated with each method. Specifically, we review applications of QT from the perspective of demand‐ and supply‐side problems, as well as various methodological innovations developed to address the complexities of ED operations. In reviewing relevant articles published since 1970, we found that queueing models tend to oversimplify operations and underestimate congestion levels (especially for smaller systems), and obtain less realistic results than comparable simulation models. The combination of queueing and simulation is shown to be a powerful approach. Future efforts should exploit this and more widely available real‐world data.</jats:p> |
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| spelling | Hu, Xia Barnes, Sean Golden, Bruce 0969-6016 1475-3995 Wiley Management of Technology and Innovation Management Science and Operations Research Strategy and Management Computer Science Applications Business and International Management http://dx.doi.org/10.1111/itor.12400 <jats:title>Abstract</jats:title><jats:p>Queueing models are important tools for the design and management of emergency departments (EDs). In this survey, we examine the contributions of queueing theory (QT) in modeling EDs and assess the strengths and limitations of this application. We include a direct comparison to discrete‐event simulation when applied to similar problems, and discuss data acquisition and challenges associated with each method. Specifically, we review applications of QT from the perspective of demand‐ and supply‐side problems, as well as various methodological innovations developed to address the complexities of ED operations. In reviewing relevant articles published since 1970, we found that queueing models tend to oversimplify operations and underestimate congestion levels (especially for smaller systems), and obtain less realistic results than comparable simulation models. The combination of queueing and simulation is shown to be a powerful approach. Future efforts should exploit this and more widely available real‐world data.</jats:p> Applying queueing theory to the study of emergency department operations: a survey and a discussion of comparable simulation studies International Transactions in Operational Research |
| spellingShingle | Hu, Xia, Barnes, Sean, Golden, Bruce, International Transactions in Operational Research, Applying queueing theory to the study of emergency department operations: a survey and a discussion of comparable simulation studies, Management of Technology and Innovation, Management Science and Operations Research, Strategy and Management, Computer Science Applications, Business and International Management |
| title | Applying queueing theory to the study of emergency department operations: a survey and a discussion of comparable simulation studies |
| title_full | Applying queueing theory to the study of emergency department operations: a survey and a discussion of comparable simulation studies |
| title_fullStr | Applying queueing theory to the study of emergency department operations: a survey and a discussion of comparable simulation studies |
| title_full_unstemmed | Applying queueing theory to the study of emergency department operations: a survey and a discussion of comparable simulation studies |
| title_short | Applying queueing theory to the study of emergency department operations: a survey and a discussion of comparable simulation studies |
| title_sort | applying queueing theory to the study of emergency department operations: a survey and a discussion of comparable simulation studies |
| title_unstemmed | Applying queueing theory to the study of emergency department operations: a survey and a discussion of comparable simulation studies |
| topic | Management of Technology and Innovation, Management Science and Operations Research, Strategy and Management, Computer Science Applications, Business and International Management |
| url | http://dx.doi.org/10.1111/itor.12400 |