Day surgery scheduling and optimization in large public hospitals in China: a three-station job shop scheduling problem | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research article Day surgery scheduling and optimization in large public hospitals in China: a three-station job shop scheduling problem Xue Bai, Wei Zhang, Li Luo, Hong-Sheng Ma, Ting Zhu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-26646/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background Efficiency and flexibility constitute the prime performance index that is used to evaluate the Day Surgery Center (DSC). Based on the day surgery service process for large public hospitals in China, we found that the service efficiency of the overall process depends on the utilization of day operating rooms (ORs and could be optimized through key resource management and scheduling. Day surgery scheduling can be described as being a flexible flow shop owing to the three-station nature of surgery. Allocating all types of hospital resources to the three stations and determining the length of time for each stage during surgeries is crucial to improve the efficiency of a hospital’s DSC. Methods This paper integrates a three-station job shop scheduling problem (JSSP) into the day surgery scheduling and optimization problem. The JSSP was formulated as a mixed-integer linear programming model, and the elicitation of the model for scheduling surgeries with different priorities in the DSC is discussed. The model illustrated a detailed example of the DSC within West China Hospital. Numerical experiments based on the genetic algorithm design were conducted. Results We found that the optimal scheduling strategy could not only minimize the makespan of the whole day surgery process, which would improve the efficiency of the DSC in large public hospitals in China, but also allow for timely scheduling adjustments during the advent of emergency surgeries, which is essential for the efficient management of day surgery rooms in large public hospitals in China. Conclusions By further refining the day surgery procedure, the JSSP model dispatches the resources involved in the various processes of the surgery. The switching time is reduced owing to the subdivision of the surgery process, resulting in an increase in OR utilization, promoting the standardization of the surgery process. We found that the JSSP model is more suitable for the efficient management of day surgery rooms of large public hospitals in China. Although this study considered a variety of resource constraints based on the day surgery service process implemented in China, there are still some shortcomings which needs further research. Health Economics & Outcomes Research Health Policy Day surgery scheduling Emergency surgery scheduling Day surgery center Job shop scheduling Public hospitals Figures Figure 1 Figure 2 Figure 3 Figure 4 Full Text Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-26646","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research article","associatedPublications":[],"authors":[{"id":572305,"identity":"220ae8c7-3e77-470c-bdec-39747aa6e420","order_by":1,"name":"Xue Bai","email":"","orcid":"","institution":"Sichuan University West China Hospital","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Xue","middleName":"","lastName":"Bai","suffix":""},{"id":572306,"identity":"84ddc950-4a7b-42e0-909b-24a9af7e2cc2","order_by":2,"name":"Wei Zhang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA10lEQVRIiWNgGAWjYFACxgZmEGXAwHzgwIcfpGlhSzw4s4dIe6BaeIwPc7ARodzgeHPz54KaO3bbJXI+HGbgYZDnFztAQMuZgw3GM449S97Zc3bD4QILBsOZsxPwazG7kdiQzMN2ONngeO+GwzN4GBIMbhPScv9hw2Gef0Ath3keHOZhI0bLDcbGZt62w3YGx3sYiNNifyaxmZm373CCwZljBsBAliDsF8n2448/83w7bG9wI/nxhw8/bOT5pQlogYHEBggtQZxysAOJVzoKRsEoGAUjDgAAFERM7JjSbLMAAAAASUVORK5CYII=","orcid":"","institution":"Sichuan University West China Hospital","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Wei","middleName":"","lastName":"Zhang","suffix":""},{"id":572307,"identity":"febe0599-7055-451c-a7fa-eb502f3bf4ce","order_by":3,"name":"Li Luo","email":"","orcid":"","institution":"Business School, Sichuan University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Li","middleName":"","lastName":"Luo","suffix":""},{"id":572308,"identity":"9122f5f2-e757-49bf-a85d-cb4c248c877d","order_by":4,"name":"Hong-Sheng Ma","email":"","orcid":"","institution":"Sichuan University West China Hospital","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Hong-Sheng","middleName":"","lastName":"Ma","suffix":""},{"id":572309,"identity":"bcb4a801-81a8-4447-896d-43b12b8bbaa2","order_by":5,"name":"Ting Zhu","email":"","orcid":"","institution":"Sichuan University West China Hospital","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Ting","middleName":"","lastName":"Zhu","suffix":""}],"badges":[],"createdAt":"2020-05-03 13:03:06","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-26646/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-26646/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":1121615,"identity":"0a206978-e7d9-4c56-9e76-65247e5512e4","added_by":"auto","created_at":"2020-05-18 18:20:20","extension":"jpg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":194354,"visible":true,"origin":"","legend":"The Day Surgery Service Process of West China Hospital","description":"","filename":"Fig1.jpg","url":"https://assets-eu.researchsquare.com/files/rs-26646/v1/Fig1.jpg"},{"id":1121616,"identity":"487f999a-507a-4217-a4f3-98124e7507a1","added_by":"auto","created_at":"2020-05-18 18:20:20","extension":"jpg","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":54263,"visible":true,"origin":"","legend":"Three-Station of the Day Surgery Center","description":"","filename":"Fig2.jpg","url":"https://assets-eu.researchsquare.com/files/rs-26646/v1/Fig2.jpg"},{"id":1121617,"identity":"b98f3408-2b4f-4eed-b9a4-8df95b07d34a","added_by":"auto","created_at":"2020-05-18 18:20:21","extension":"jpg","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":131517,"visible":true,"origin":"","legend":"Population Evolution of the Scheduling Strategy of Day Surgery","description":"","filename":"Fig3.jpg","url":"https://assets-eu.researchsquare.com/files/rs-26646/v1/Fig3.jpg"},{"id":1121618,"identity":"d7a65078-1f60-49c0-bee1-50d4323b9569","added_by":"auto","created_at":"2020-05-18 18:20:21","extension":"jpg","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":118886,"visible":true,"origin":"","legend":"Population Evolution Considering Emergency Surgeries","description":"","filename":"Fig4.jpg","url":"https://assets-eu.researchsquare.com/files/rs-26646/v1/Fig4.jpg"},{"id":13504680,"identity":"9154e5b6-4e01-4d6d-b6be-fd20968281b2","added_by":"auto","created_at":"2021-09-16 23:24:12","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":421035,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-26646/v1/5d0bd054-a806-412e-a93f-72e5d1e9f4d1.pdf"}],"financialInterests":"","formattedTitle":"Day surgery scheduling and optimization in large public hospitals in China: a three-station job shop scheduling problem","fulltext":[{"header":"Full Text","content":"\u003cp\u003eThis preprint is available for \u003ca href='/article/rs-26646/latest.pdf' target='_blank'\u003edownload as a PDF\u003c/a\u003e.\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"
[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Day surgery scheduling, Emergency surgery scheduling, Day surgery center, Job shop scheduling, Public hospitals","lastPublishedDoi":"10.21203/rs.3.rs-26646/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-26646/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e \u003cp\u003eEfficiency and flexibility constitute the prime performance index that is used to evaluate the Day Surgery Center (DSC). Based on the day surgery service process for large public hospitals in China, we found that the service efficiency of the overall process depends on the utilization of day operating rooms (ORs and could be optimized through key resource management and scheduling. Day surgery scheduling can be described as being a flexible flow shop owing to the three-station nature of surgery. Allocating all types of hospital resources to the three stations and determining the length of time for each stage during surgeries is crucial to improve the efficiency of a hospital\u0026rsquo;s DSC.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e \u003cp\u003eThis paper integrates a three-station job shop scheduling problem (JSSP) into the day surgery scheduling and optimization problem. The JSSP was formulated as a mixed-integer linear programming model, and the elicitation of the model for scheduling surgeries with different priorities in the DSC is discussed. The model illustrated a detailed example of the DSC within West China Hospital. Numerical experiments based on the genetic algorithm design were conducted.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003eWe found that the optimal scheduling strategy could not only minimize the makespan of the whole day surgery process, which would improve the efficiency of the DSC in large public hospitals in China, but also allow for timely scheduling adjustments during the advent of emergency surgeries, which is essential for the efficient management of day surgery rooms in large public hospitals in China.\u003c/p\u003e\u003ch2\u003eConclusions\u003c/h2\u003e \u003cp\u003eBy further refining the day surgery procedure, the JSSP model dispatches the resources involved in the various processes of the surgery. The switching time is reduced owing to the subdivision of the surgery process, resulting in an increase in OR utilization, promoting the standardization of the surgery process. We found that the JSSP model is more suitable for the efficient management of day surgery rooms of large public hospitals in China. Although this study considered a variety of resource constraints based on the day surgery service process implemented in China, there are still some shortcomings which needs further research.\u003c/p\u003e","manuscriptTitle":"Day surgery scheduling and optimization in large public hospitals in China: a three-station job shop scheduling problem","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2020-05-18 18:20:20","doi":"10.21203/rs.3.rs-26646/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"
[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"d9a1dfe5-7a9c-4c0b-a65d-15f76de8b50c","owner":[],"postedDate":"May 18th, 2020","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":102053,"name":"Health Economics \u0026 Outcomes Research"},{"id":102054,"name":"Health Policy"}],"tags":[],"updatedAt":"2020-08-06T23:25:02+00:00","versionOfRecord":[],"versionCreatedAt":"2020-05-18 18:20:20","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-26646","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-26646","identity":"rs-26646","version":["v1"]},"buildId":"FbvkV6FR0MCFSLy54lSbu","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.