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Artificial intelligence and end user tools to develop a nurse duty roster scheduling system
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作者 Franklin Leung Yee-Chun Lau +1 位作者 Martin Law Shih-Kien Djeng 《International Journal of Nursing Sciences》 CSCD 2022年第3期373-377,共5页
Objectives A nurse duty roster is usually prepared monthly in a hospital ward.It is common for nurses to make duty shift requests prior to scheduling.A ward manager normally spends more than a working day to manually ... Objectives A nurse duty roster is usually prepared monthly in a hospital ward.It is common for nurses to make duty shift requests prior to scheduling.A ward manager normally spends more than a working day to manually prepare and subsequently to optimally adjust the schedule upon staff requests and hospital policies.This study aimed to develop an automatic nurse roster scheduling system with the use of open-source operational research tools by taking into account the hospital standards and the constraints from nurses.Methods Artificial intelligence and end user tools operational research tools were used to develop the code for the nurse duty roster scheduling system.To compare with previous research on various heuristics in employee scheduling,the current system was developed on open architecture and adopted with real shift duty requirements in a hospital ward.Results The schedule can be generated within 1 min under both hard and soft constraint optimization.All hard constraints are fulfilled and most nurse soft constraints could be met.Compared with those schedules prepared manually,the computer-generated schedules were more optimally adjusted as real time interaction among nurses and management personnel.The generated schedules were flexible to cope with daily and hourly duty changes by redeploying ward staff in order to maintain safe staffing levels.Conclusions An economical but yet highly efficient and user friendly solution to nurse roster scheduling system has been developed and adopted using open-source operational research methodology.The open-source platform is found to perform satisfactorily in scheduling application.The system can be implemented to different wards in hospitals and be regularly updated with new hospital polices and nurse manpower by hospital information personnel with training in artificial intelligence. 展开更多
关键词 Artificial intelligence COMPUTERS Nurses Nurse duty roster schedule Open source software
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A Two-Stage Scenario-Based Robust Optimization Model and a Column-Row Generation Method for Integrated Aircraft Maintenance-Routing and Crew Rostering
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作者 Khalilallah Memarzadeh Hamed Kazemipoor +1 位作者 Mohammad Fallah Babak Farhang Moghaddam 《Computer Modeling in Engineering & Sciences》 SCIE EI 2024年第11期1275-1304,共30页
Motivated by a critical issue of airline planning process,this paper addresses a new two-stage scenario-based robust optimization in operational airline planning to cope with uncertainty and possible flight disruption... Motivated by a critical issue of airline planning process,this paper addresses a new two-stage scenario-based robust optimization in operational airline planning to cope with uncertainty and possible flight disruptions.Following the route network scheme and generated flight timetables,aircraft maintenance routing and crew scheduling are critical factors in airline planning and operations cost management.This study considers the simultaneous assignment of aircraft fleet and crew to the scheduled flight while satisfying a set of operational constraints,rules,and regulations.Considering multiple locations for airline maintenance and crew bases,we solve the problem of integrated Aircraft Maintenance Routing and Crew Rostering(AMRCR)to achieve the minimum airline cost.One real challenge to the efficiency of the planning results is the possible disruptions in the initial scheduled flights.Due to the fact that disruption scenarios are expressed discretely with a specified probability,and we provide adjustable decisions under disruption to deal with this disruption risk,we provide a Two-Stage Scenario-Based Robust Optimization(TSRO)model.In this model,here-and-now or first-stage variables are the initial resource assignment.Furthermore,to adapt itself to different disruption scenarios,the model considers some adjustable variables,such as the decision to cancel the flight in case of disruption,as wait-and-see or second-stage variables.Considering the complexity of integrated models,and the scenario-based decomposable structure of the TRSO model to solve it with better computational performance,we apply the column and row generation(CRG)method that iteratively considers the disruption scenarios.The numerical results confirm the applicability of the proposed TSRO model in providing the AMRCR problem with an integrated and robust solution with an acceptable level of computational tractability.To evaluate the proposed TSRO model,which solves the AMRCR problem in an integrated and robust manner,five Key Performance Indicators(KPIs)like Number of delayed/canceled flights,Average delay time,and Average profit are taken into account.As key results driven by conducting a case study,we show the proposed TSRO model has substantially improved the solutions at all indicators compared with those of the sequential/non-integrated and nominal/non-robust models.The simulated instances used to assess the performance of the proposed model and CRG method reveal that both CPLEX and the CRG method exhibit comparable and nearly optimal performance for small-scale problems.However,for large-scale instances the proposed TSRO model falls short in terms of computational efficiency.Conversely,the proposed CRG method is capable of significantly reducing computational time and the optimality gap to an acceptable level. 展开更多
关键词 Aircraft maintenance routing crew scheduling rosterING uncertainty scenario-based robust optimization column and row generation
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Using Differential Evolution Method to Solve Crew Rostering Problem 被引量:1
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作者 Budi Santosa Andiek Sunarto Arief Rahman 《Applied Mathematics》 2010年第4期316-325,共10页
Airline crew rostering is the assignment problem of crew members to planned rotations/pairings for certain month. Airline companies have the monthly task of constructing personalized monthly schedules (roster) for cre... Airline crew rostering is the assignment problem of crew members to planned rotations/pairings for certain month. Airline companies have the monthly task of constructing personalized monthly schedules (roster) for crew members. This problem became more complex and difficult while the aspirations/criterias to assess the quality of roster grew and the constraints increased excessively. This paper proposed the differential evolution (DE) method to solve the airline rostering problem. Different from the common DE, this paper presented random swap as mutation operator. The DE algorithm is proven to be able to find the near optimal solution accurately for the optimization problem. Through numerical experiments with some real datasets, DE showed more competitive results than two other methods, column generation and MOSI (the one used by the Airline). DE produced good results for small and medium datasets, but it still showed reasonable results for large dataset. For large crew rostering problem, we proposed decomposition procedure to solve it in more efficient manner using DE. 展开更多
关键词 DIFFERENTIAL Evolution CREW SCHEDULING PAIRING rosterING
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Annealing Harmony Search Algorithm to Solve the Nurse Rostering Problem
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作者 Mohammed Hadwan 《Computers, Materials & Continua》 SCIE EI 2022年第6期5545-5559,共15页
A real-life problem is the rostering of nurses at hospitals.It is a famous nondeterministic,polynomial time(NP)-hard combinatorial optimization problem.Handling the real-world nurse rostering problem(NRP)constraints i... A real-life problem is the rostering of nurses at hospitals.It is a famous nondeterministic,polynomial time(NP)-hard combinatorial optimization problem.Handling the real-world nurse rostering problem(NRP)constraints in distributing workload equally between available nurses is still a difficult task to achieve.The international shortage of nurses,in addition to the spread of COVID-19,has made it more difficult to provide convenient rosters for nurses.Based on the literature,heuristic-based methods are the most commonly used methods to solve the NRP due to its computational complexity,especially for large rosters.Heuristic-based algorithms in general have problems striking the balance between diversification and intensification.Therefore,this paper aims to introduce a novel metaheuristic hybridization that combines the enhanced harmony search algorithm(EHSA)with the simulated annealing(SA)algorithm called the annealing harmony search algorithm(AHSA).The AHSA is used to solve NRP from a Malaysian hospital.The AHSA performance is compared to the EHSA,climbing harmony search algorithm(CHSA),deluge harmony search algorithm(DHSA),and harmony annealing search algorithm(HAS).The results show that the AHSA performs better than the other compared algorithms for all the tested instances where the best ever results reported for the UKMMC dataset. 展开更多
关键词 Harmony search algorithm simulated annealing combinatorial optimization problems TIMETABLING metaheuristic algorithms nurse rostering problems
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Quantitative Approaches on Staff Scheduling and Rostering in Hospitality Management: An Overview
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作者 Marta Rocha Jose F. Oliveira Maria Antonia Carravilla 《American Journal of Operations Research》 2012年第1期137-145,共9页
Staff scheduling and rostering problems, with application in several application areas, from transportation systems to hospitals, have been widely addressed by researchers. This is not the case of hospitality services... Staff scheduling and rostering problems, with application in several application areas, from transportation systems to hospitals, have been widely addressed by researchers. This is not the case of hospitality services, which have been forgotten by the quantitative research literature. The purpose of this paper is to provide some insights on the application of staff scheduling and rostering problems to hospitality management operations, reviewing existing approaches developed in other similar areas, such as nurse rostering or examining adaptable problem models, such as the tour scheduling. 展开更多
关键词 HOSPITALITY MANAGEMENT STAFF SCHEDULING rosterING
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监察鉴定立法的规范分析与程序完善——以司法鉴定制度为参照
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作者 拜荣静 《中国司法鉴定》 2024年第1期18-27,共10页
2018年《监察法》与2021年《监察法实施条例》分别规定了监察调查中的鉴定措施,这标志着我国继司法鉴定、行政鉴定方式用于解决专门性问题之后,又产生了解决专门性问题的监察鉴定方式。《监察法实施条例》在监察调查权限中规定了鉴定措... 2018年《监察法》与2021年《监察法实施条例》分别规定了监察调查中的鉴定措施,这标志着我国继司法鉴定、行政鉴定方式用于解决专门性问题之后,又产生了解决专门性问题的监察鉴定方式。《监察法实施条例》在监察调查权限中规定了鉴定措施的基本规范,监察鉴定对于监察调查中专门性问题解决有其存在必要性和基本价值。根据《监察法实施条例》相关规定,监察机关鉴定措施实行对外委托方式,鉴定人应当出庭作证,监察机关不内设鉴定机构。完善监察鉴定制度,应在监察机关内设对外委托职能部门,建立对外委托监察机构名册目录、建立监察鉴定意见复议制度,以及完善出具鉴定意见的鉴定人出庭作证制度。 展开更多
关键词 司法鉴定 监察鉴定 行政鉴定 对外委托 名册制
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模拟“退火”算法在多目标航空公司职员排班系统中的应用 被引量:6
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作者 张应辉 饶云波 周明天 《计算机应用》 CSCD 北大核心 2006年第8期2001-2004,共4页
目前排班系统主要是基于手工的方式来完成,而且需要考虑的约束条件较多,因此需要利用计算机技术进行自动合理的排班。介绍了乘务员排班系统的基本情况,对建立排班系统模型做了详细描述,并用模拟“退火”算法很好地解决了这一问题。所设... 目前排班系统主要是基于手工的方式来完成,而且需要考虑的约束条件较多,因此需要利用计算机技术进行自动合理的排班。介绍了乘务员排班系统的基本情况,对建立排班系统模型做了详细描述,并用模拟“退火”算法很好地解决了这一问题。所设计实现的系统在某航空公司实际运行表明所提模型算法是合理而有效的。 展开更多
关键词 排班 模拟“退火”算法 遗传算法 多目标优化 排班系统模型
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GASA混合算法在航空公司乘务员排班系统中的应用 被引量:3
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作者 陈骏 刘维光 《计算机工程与设计》 CSCD 北大核心 2008年第1期203-205,219,共4页
排班系统是公司、企业管理的一项日常工作,一种公平、合理的排班方法对于调动工作人员的工作积极性、提高工作效率都具有重要的意义。目前排班系统主要都是基于手工排班的方式来考虑的而且约束条件较多,所以利用计算机进行自动排班的思... 排班系统是公司、企业管理的一项日常工作,一种公平、合理的排班方法对于调动工作人员的工作积极性、提高工作效率都具有重要的意义。目前排班系统主要都是基于手工排班的方式来考虑的而且约束条件较多,所以利用计算机进行自动排班的思想自然而生。阐述了排班系统的模型、系统结构,并对建立的排班系统模型做了详细描述,采用GASA混合算法很好的解决了这一问题,仿真分析验证了算法的合理性。所设计实现的系统在某航空公司实际运行表明该模型算法是合理而有效的。 展开更多
关键词 排班系统 多目标优化 模拟“退火”算法 遗传算法 排班系统模型
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遗传算法在乘务员排班系统中的应用 被引量:5
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作者 林红 饶云波 李勇 《计算机技术与发展》 2007年第1期199-202,209,共5页
在排班系统中,一种公平、合理的排班方法对于调动工作人员的工作积极性、提高工作效率都具有重要的意义。阐述了乘务员排班系统基本情况,并建立了排班系统的排班通用算法模型和任务均衡算法模型,通过遗传算法对排班模型进行优化实现。... 在排班系统中,一种公平、合理的排班方法对于调动工作人员的工作积极性、提高工作效率都具有重要的意义。阐述了乘务员排班系统基本情况,并建立了排班系统的排班通用算法模型和任务均衡算法模型,通过遗传算法对排班模型进行优化实现。基于航空公司实际数据证明算法是合理的,也是有效的。 展开更多
关键词 排班系统 遗传算法 通用算法模型 任务均衡算法模型
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考虑乘务员值乘需求的地铁乘务轮班优化方法 被引量:1
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作者 金华 陈绍宽 +2 位作者 冯旭杰 柏赟 李昊 《铁道学报》 EI CAS CSCD 北大核心 2023年第7期29-37,共9页
乘务轮班计划是乘务计划的实施阶段,其质量影响乘务员对乘务计划的满意程度。既有研究多把所有乘务员作为一个整体,考虑均衡性等优化目标,本文则从值乘时间、任务类型和喜恶类型角度系统刻画乘务员的值乘需求,并将具有相近值乘需求的乘... 乘务轮班计划是乘务计划的实施阶段,其质量影响乘务员对乘务计划的满意程度。既有研究多把所有乘务员作为一个整体,考虑均衡性等优化目标,本文则从值乘时间、任务类型和喜恶类型角度系统刻画乘务员的值乘需求,并将具有相近值乘需求的乘务员进行分组,构建乘务轮班计划优化模型,尽可能满足不同分组乘务员的值乘需求。进一步构建基于路径状态的网络图模型,通过禁忌序列表示轮转约束,以需求序列衡量值乘需求的满足程度,将问题转化为最大费用流问题进行求解。案例研究结果表明:提出的方法可以有效满足乘务员值乘需求,并确保不同乘务分组间需求满足程度的均衡性,求解方法具有较高的求解效率。 展开更多
关键词 乘务轮班计划 城市轨道交通 值乘需求 网络图
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国产DCS控制系统在氧化铝循环焙烧炉中的应用 被引量:1
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作者 韩国荣 吴刚 袁淑敏 《自动化仪表》 CAS 2005年第6期56-58,共3页
介绍了国产DCS控制系统在山东铝业公司氧化铝厂1920t/d氧化铝循环焙烧炉国产化项目中的应用。阐述了焙烧炉的工艺流程、DCS系统的硬件配置及软件组态,并对在相同工艺条件下所用两种不同DCS控制的系统优劣进行了比较。
关键词 DCS控制系统 循环焙烧炉 应用 山东铝业公司 国产化项目 DCS系统 氧化铝厂 工艺流程 软件组态 硬件配置 工艺条件
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以责任制护理为核心的优质护理模式在骨科日常护理工作中的应用 被引量:7
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作者 谭爱珍 《中外医学研究》 2015年第11期83-85,共3页
目的:研究分析优质护理在骨科日常护理工作中的开展成效与存在问题。方法:2013年12月-2014年11月期间笔者所在医院骨科病房开展优质护理模式,推行责任制整体护理模式,并对排班方式加以优化,采取连续性排班模式,重新分配工作内容,并对护... 目的:研究分析优质护理在骨科日常护理工作中的开展成效与存在问题。方法:2013年12月-2014年11月期间笔者所在医院骨科病房开展优质护理模式,推行责任制整体护理模式,并对排班方式加以优化,采取连续性排班模式,重新分配工作内容,并对护理工作流程予以优化。结果:与实施优质护理模式前相比,开展优质护理模式后骨科护理质量大幅提升,护理满意度显著提高,前后差异均有统计学意义(P<0.05)。结论:以责任制护理为核心的优质护理模式改善了以往功能制护理模式的缺点,护理工作人员潜能得到有效激发,其工作责任心以及工作效率随之提升,是对以患者为中心的人本护理理念的切实体现,应予以推广使用。 展开更多
关键词 骨科护理工作 优质护理 责任制 排班制度 成效
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一对一带教与排班制带教对护理实习生的教学效果分析 被引量:8
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作者 杨清花 《中国卫生产业》 2015年第12期161-162,共2页
目的分析一对一带教与排班制带教对护理实习生的教学效果。方法选择2014年1月—2015年1月100例护理实习生随机分成实验组和对照组各50名,对照组护理实习生采用排班制带教,实验组实习生采用一对一带教,对两组护理实习生的教学效果进行对... 目的分析一对一带教与排班制带教对护理实习生的教学效果。方法选择2014年1月—2015年1月100例护理实习生随机分成实验组和对照组各50名,对照组护理实习生采用排班制带教,实验组实习生采用一对一带教,对两组护理实习生的教学效果进行对比分析。结果经过1个月的实习,实验组护理实习生的操作技能、理论知识、沟通技巧等评分、护理缺陷和投诉发生率显著优于对照组(P>0.05);患者和带教老师对护理实习生的满意达标率显著优于对照组(P>0.05)。结论在护理实习生的带教中,应用一对一带教能有效提高护理实习生的沟通技巧和工作能力,强化风险防范意识和责任心,让护理实习生的主观能动性得到有效提高,最终让教学效果提高。 展开更多
关键词 一对一带教 排班制带教 护理实习生 教学效果
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GASA Hybird Algorithm Applied in Airline Crew Rostering System
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作者 张应辉 饶云波 周明天 《Tsinghua Science and Technology》 SCIE EI CAS 2007年第S1期255-259,共5页
Crew rostering system is a daily grind in the management of both corporation and enterprise. A fair and reasonable rostering method plays a very important role in the arousing worker’s enthusiasm and improving the wo... Crew rostering system is a daily grind in the management of both corporation and enterprise. A fair and reasonable rostering method plays a very important role in the arousing worker’s enthusiasm and improving the work efficiency. This paper presents a method of building models for automatic crew rostering mode with computer and advancing the multi-objective optimum scheme. The method to build models for crew rostering system is also discussed. The question to crew rostering system model is solved by genetic algorithms and simulated annealing algorithms. Simulation results show the correctness of algorithms. The actual data of the airways have justified its reasonability and efficiency. 展开更多
关键词 service system crew rostering system multi-objective combinatorial optimization simulated annealing algorithms genetic algorithms crew rostering system model
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航空机组乘务员自动排班系统中的算法应用
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作者 陈侨 《电脑与电信》 2009年第7期57-59,共3页
目前排班系统主要是基于手工调整的方式来完成,而且需要考虑的约束条件较多。本文介绍了乘务员排班系统的基本情况,对建立排班系统模型做了描述,及介绍了几种算法在排班问题上的应用。经某航空公司实际数据运行表明,所提出的模型算法是... 目前排班系统主要是基于手工调整的方式来完成,而且需要考虑的约束条件较多。本文介绍了乘务员排班系统的基本情况,对建立排班系统模型做了描述,及介绍了几种算法在排班问题上的应用。经某航空公司实际数据运行表明,所提出的模型算法是合理而有效的。 展开更多
关键词 排班 退火算法 遗传算法 排班系统模型
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RH-2000S微机综合自动化在悬态焙烧炉系统的应用
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作者 崔勇霞 胡建军 李苏红 《科技情报开发与经济》 2003年第6期68-69,共2页
主要介绍了RH-2000S微机综合自动化在悬态焙烧炉高压系统中的成功应用,通过分析微机保护装置的优点以及传统继电保护的缺点,提出了供电系统继电保护的发展方向。
关键词 微机综合保护 继电保护 智能化 悬态焙烧炉系统
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掌教、乡约与保甲册——清代户口管理体系中的陕甘回民人口 被引量:14
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作者 路伟东 《回族研究》 CSSCI 北大核心 2010年第2期38-46,共9页
清代存在专门的回民户籍,即回籍。清廷制定回民户籍的主要目的是刑名狱讼。回民户籍的产生时间大约在乾隆二十七年前后。清廷对回籍人口进行管理的基层组织是地方保甲,由于缺乏上报的机制和必要,回民户籍资料只保存于州县厅一级的保甲册... 清代存在专门的回民户籍,即回籍。清廷制定回民户籍的主要目的是刑名狱讼。回民户籍的产生时间大约在乾隆二十七年前后。清廷对回籍人口进行管理的基层组织是地方保甲,由于缺乏上报的机制和必要,回民户籍资料只保存于州县厅一级的保甲册中,没有体现在更高一级的官方统计数据中。清廷借助掌教管理和约束回民人口使得掌教获得了部分行政职权。以乡约取代掌教,又使得改称乡约的掌教获得了乡约的权力,进而发展成为地方行政权力的一极。这给以保甲制为基础的基层管理体系和统治秩序带来了严重的挑战。 展开更多
关键词 清代 回民户籍 掌教 乡约 保甲册
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论古典名著的著作权保护 被引量:2
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作者 胡辉 《河北法学》 CSSCI 北大核心 2010年第9期140-144,共5页
在现行法律制度下寻求保护古典名著的有效途径,保护我国的优秀文明成果十分重要,国家应该成为行使古典名著权利的主体,并成立专门的古典名著保护机构,全面负责古典名著的保护工作,建立古典名著名册制度,搜集登记需要重点保护的古典名著... 在现行法律制度下寻求保护古典名著的有效途径,保护我国的优秀文明成果十分重要,国家应该成为行使古典名著权利的主体,并成立专门的古典名著保护机构,全面负责古典名著的保护工作,建立古典名著名册制度,搜集登记需要重点保护的古典名著,具体管理古典名著的登记、使用备案、监督使用和利益协调等工作,制作诚信档案。同时建立完善的古典名著纠纷解决机制。 展开更多
关键词 古典名著 古典名著名册制度 保护作品完整权
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DYNAMIC RESOURCE ALLOCATION FOR EFFICIENT PATIENT SCHEDULING: A DATA-DRIVEN APPROACH 被引量:8
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作者 Monique Bakker Kwok-Leung Tsui 《Journal of Systems Science and Systems Engineering》 SCIE EI CSCD 2017年第4期448-462,共15页
Efficient staff rostering and patient scheduling to meet outpatient demand is a very complex and dynamic task. Due to fluctuations in demand and specialist availability, specialist allocation must be very flexible and... Efficient staff rostering and patient scheduling to meet outpatient demand is a very complex and dynamic task. Due to fluctuations in demand and specialist availability, specialist allocation must be very flexible and non-myopic. Medical specialists are typically restricted in sub-specialization, serve several patient groups and are the key resource in a chain of patient visits to the clinic and operating room (OR). To overcome a myopic view of once-off appointment scheduling, we address the patient flow through a chain of patient appointments when allocating key resources to different patient groups. We present a new, data-driven algorithmic approach to automatic allocation of specialists to roster activities and patient groups. By their very nature, simplified mathematical models cannot capture the complexity that is characteristic to the system being modeled. In our approach, the allocation of specialists to their day-to-day activities is flexible and responsive to past and present key resource availability, as well as to past resource allocation. Variability in roster activities is actively minimized, in order to enhance the supply chain flow. With discrete-event simulation of the application case using empirical data, we illustrate how our approach improves patient Service Level (SL, percentage of patients served on-time) as well as Wait Time (days), without change in resource capacity. 展开更多
关键词 Patient scheduling dynamic rostering patient care path discrete-event simulation
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Airline planning and scheduling: Models and solution methodologies 被引量:5
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作者 Lei ZHOU Zhe LIANG +1 位作者 Chun-An CHOU Wanpracha Art CHAOVALITWONGSE 《Frontiers of Engineering Management》 2020年第1期1-26,共26页
The airline industry is a representative industry with high cost and low profitability.Therefore,airlines should carefully plan their schedules to ensure that overall profit is maximized.We review the literature on ai... The airline industry is a representative industry with high cost and low profitability.Therefore,airlines should carefully plan their schedules to ensure that overall profit is maximized.We review the literature on airline planning and scheduling and focus on mathematical formulations and solution methodologies.Our research framework is anchored on three major problems in the airline scheduling,namely,fleet assignment,aircraft routing,and crew scheduling.General formulation,widely used solution approaches,and important extensions are presented for each problem and integrated problems.We conclude the review by identifying promising areas for further research. 展开更多
关键词 AIRLINE PLANNING fleet assignment PROBLEM aircraft routing PROBLEM CREW PAIRING PROBLEM CREW rosterING PROBLEM CREW scheduling PROBLEM integrated PLANNING
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