Scheduling elective surgery under uncertainty and downstream capacity constraints
The objective of this study is to generate an optimal surgery schedule of elective surgery patients with uncertain surgery operations, which includes uncertainty in surgery durations and the availability of downstream resources such as surgical intensive care unit (SICU) over multi-periods. The stoc...
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| Veröffentlicht in: | European journal of operational research 2010-11, Vol.206 (3), p.642-652 |
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| container_title | European journal of operational research |
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| creator | Min, Daiki Yih, Yuehwern |
| description | The objective of this study is to generate an optimal surgery schedule of elective surgery patients with uncertain surgery operations, which includes uncertainty in surgery durations and the availability of downstream resources such as surgical intensive care unit (SICU) over multi-periods. The stochastic optimization is adapted and the sample average approximation (SAA) method is proposed for obtaining an optimal surgery schedule with respect to minimizing the total cost of patient costs and overtime costs. A computational experiment is presented to evaluate the performance of the proposed method. |
| doi_str_mv | 10.1016/j.ejor.2010.03.014 |
| format | Article |
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The stochastic optimization is adapted and the sample average approximation (SAA) method is proposed for obtaining an optimal surgery schedule with respect to minimizing the total cost of patient costs and overtime costs. A computational experiment is presented to evaluate the performance of the proposed method.</description><subject>Applied sciences</subject><subject>Approximation</subject><subject>Biological and medical sciences</subject><subject>Downstream resource constraint</subject><subject>Economy. Management</subject><subject>Elective surgery</subject><subject>Exact sciences and technology</subject><subject>Health and social institutions</subject><subject>Mathematical programming</subject><subject>Medical sciences</subject><subject>Operational research and scientific management</subject><subject>Operational research. Management science</subject><subject>Optimization</subject><subject>Public health. Hygiene</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>Scheduling</subject><subject>Scheduling, sequencing</subject><subject>Stochastic models</subject><subject>Stochastic programming</subject><subject>Studies</subject><subject>Surgery</subject><subject>Surgery scheduling problem</subject><subject>Surgery scheduling problem Downstream resource constraint Stochastic programming</subject><subject>Uncertainty</subject><issn>0377-2217</issn><issn>1872-6860</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>X2L</sourceid><recordid>eNp9UdtKxDAQDaLgevkBn4rgY9fcmrbgi4g3FETU5zBNZzVlt61Ju7J_79QVHw2cSTg5ZzKcMHYi-FxwYc6bOTZdmEtOBFdzLvQOm4kil6kpDN9lM67yPJVS5PvsIMaGcy4ykc3Y84v7wHpc-vY9wSW6wa8xiWN4x7BJxrbGQNVhGMC3wyaBtk7q7quNQ0BYJQ56cJ54103UpIlHbG8By4jHv_she7u5fr26Sx-fbu-vLh9TpzMzpEZVJlN5XUBZ6bJSeiGgzDlCBbKoikyaonC80iiN0qqSqkRdlTVgiYYutDpkp9u-feg-R4yDbboxtPSklVwLrUszieRW5EIXY8CF7YNfQdhYwe2UnG3slJydkrNcWUqOTA9bU8Ae3Z8DaZEUo11bBZIbqpufE1kVeIIi9ASjpTWZtB_Dirqd_c4J0cFyEaB1Pv51lTLPRKkV6S62OqTQ1h6Djc4jZV_7QP9i687_N_Q3xpqecg</recordid><startdate>20101101</startdate><enddate>20101101</enddate><creator>Min, Daiki</creator><creator>Yih, Yuehwern</creator><general>Elsevier B.V</general><general>Elsevier</general><general>Elsevier Sequoia S.A</general><scope>IQODW</scope><scope>DKI</scope><scope>X2L</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20101101</creationdate><title>Scheduling elective surgery under uncertainty and downstream capacity constraints</title><author>Min, Daiki ; Yih, Yuehwern</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c456t-63b6537d8a9b49b34f1a970eaba28b852688c0b4e26343b239e4b9dae9e68c043</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Applied sciences</topic><topic>Approximation</topic><topic>Biological and medical sciences</topic><topic>Downstream resource constraint</topic><topic>Economy. Management</topic><topic>Elective surgery</topic><topic>Exact sciences and technology</topic><topic>Health and social institutions</topic><topic>Mathematical programming</topic><topic>Medical sciences</topic><topic>Operational research and scientific management</topic><topic>Operational research. Management science</topic><topic>Optimization</topic><topic>Public health. Hygiene</topic><topic>Public health. 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| fulltext | fulltext |
| identifier | ISSN: 0377-2217 |
| ispartof | European journal of operational research, 2010-11, Vol.206 (3), p.642-652 |
| issn | 0377-2217 1872-6860 |
| language | eng |
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| source | RePEc; Access via ScienceDirect (Elsevier) |
| subjects | Applied sciences Approximation Biological and medical sciences Downstream resource constraint Economy. Management Elective surgery Exact sciences and technology Health and social institutions Mathematical programming Medical sciences Operational research and scientific management Operational research. Management science Optimization Public health. Hygiene Public health. Hygiene-occupational medicine Scheduling Scheduling, sequencing Stochastic models Stochastic programming Studies Surgery Surgery scheduling problem Surgery scheduling problem Downstream resource constraint Stochastic programming Uncertainty |
| title | Scheduling elective surgery under uncertainty and downstream capacity constraints |
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