CONSTRAINED RANKING AND SELECTION FOR OPERATIONS OF AN EMERGENCY DEPARTMENT
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, M. L. | - |
dc.contributor.author | Park, I | - |
dc.contributor.author | Park, D. U. | - |
dc.contributor.author | PARK, CHUL JIN | - |
dc.date.accessioned | 2022-07-12T20:45:29Z | - |
dc.date.available | 2022-07-12T20:45:29Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2017-12 | - |
dc.identifier.issn | 1726-4529 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/151081 | - |
dc.description.abstract | We consider a problem of finding the optimal number of medical staffs for an emergency department through stochastic simulation. Specifically, the objective is to maximize the expected net profit per period of the emergency department while confining the maximum duration of expected waiting times of critical and noncritical patients. This is formulated as a simulation optimisation problem with two stochastic constraints on waiting times. To find the optimal solution of the problem under statistical guarantees, we introduce a two-step fully sequential ranking and selection framework: we first determine a set of strictly feasible solutions and then select the best solution among them. We implement the proposed framework via Simio and apply it to an emergency department of a university hospital. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | DAAAM INTERNATIONAL VIENNA | - |
dc.title | CONSTRAINED RANKING AND SELECTION FOR OPERATIONS OF AN EMERGENCY DEPARTMENT | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | PARK, CHUL JIN | - |
dc.identifier.doi | 10.2507/IJSIMM16(4)1.388 | - |
dc.identifier.scopusid | 2-s2.0-85037744574 | - |
dc.identifier.wosid | 000423773900001 | - |
dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF SIMULATION MODELLING, v.16, no.4, pp.563 - 575 | - |
dc.relation.isPartOf | INTERNATIONAL JOURNAL OF SIMULATION MODELLING | - |
dc.citation.title | INTERNATIONAL JOURNAL OF SIMULATION MODELLING | - |
dc.citation.volume | 16 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 563 | - |
dc.citation.endPage | 575 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Engineering, Industrial | - |
dc.relation.journalWebOfScienceCategory | Engineering, Manufacturing | - |
dc.subject.keywordPlus | SIMULATION OPTIMIZATION | - |
dc.subject.keywordAuthor | Healthcare Management | - |
dc.subject.keywordAuthor | Emergency Department | - |
dc.subject.keywordAuthor | Simulation | - |
dc.subject.keywordAuthor | Ranking and Selection | - |
dc.subject.keywordAuthor | Simio | - |
dc.identifier.url | http://www.ijsimm.com/Full_Papers/Fulltext2017/text16-4_563-575.pdf | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.