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dc.contributor.advisor韩水华
dc.contributor.author张雪莲
dc.date.accessioned2016-02-23T01:05:14Z
dc.date.available2016-02-23T01:05:14Z
dc.date.issued2015-07-09 08:49:40.0
dc.identifier.urihttps://dspace.xmu.edu.cn/handle/2288/95502
dc.description.abstract在中国的医疗服务环境中,“住院难”已经成为一个普遍的现象,考虑到病床资源供需不平衡,分配不合理且效率低等问题,本文探讨了一个多病人类型多天停留的病床资源分配计划。具体而言,就是帮助医院管理者制定病床分配的策略,权衡医院的服务收益以及病人的等待和流失成本,以达到总服务收益最大化的目标,更好地服务各类病人。医院的服务收益受病人的住院天数所影响。同一病种,不同住院天数下,服务收益不同。除了经济上的收益,医院还需要衡量不能及时服务病人所产生的等待和流失成本。不同类型的病人(急诊、重症和普通),其等待和流失成本的水平也不同。 基于这一研究背景,本文采用基于数量的多资源收益管理研究思路,建立一个随机规划...
dc.description.abstractIn China, inpatients are difficult to be assigned to beds timely. Considering the unbalance between supply and demand as well as the inefficiency in medical resource allocation, this thesis develops a beds allocation planning for hospitals. More specifically, the allocation planning can help the hospital deciders make optimal beds allocation strategies to achieve maximum profits. Hospital managers...
dc.language.isozh_CN
dc.relation.urihttps://catalog.xmu.edu.cn/opac/openlink.php?strText=46427&doctype=ALL&strSearchType=callno
dc.source.urihttps://etd.xmu.edu.cn/detail.asp?serial=49996
dc.subject多资源收益管理
dc.subject病床分配
dc.subject鲁棒优化
dc.subject不确定性
dc.subjectNetwork Revenue Management Model
dc.subjectBeds Allocation
dc.subjectRobust Optimization
dc.subjectUncertainty Demand
dc.title多病人类型多住院天数的病床收益管理研究
dc.title.alternativeBed Revenue Management Considering Multi Classes of Inpatients and Length-of-Stay Bed Revenue Management Considering Multi Classes of Inpatients and Length-of-Stay Bed Revenue Management Considering Multi Classes of Inpatients and Length-of-Stay
dc.typethesis
dc.date.replied2015-05-22
dc.description.note学位:管理学硕士
dc.description.note院系专业:管理学院_管理科学与工程
dc.description.note学号:17720121151067


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