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1
Turhan, Hasim. "The value of flexibility in nurse scheduling." Thesis, Montana State University, 2011. http://etd.lib.montana.edu/etd/2011/turhan/TurhanH1211.pdf.
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Nurse scheduling is a complex class of workforce scheduling problems that involves constructing work schedules, or, assigning nurses to shifts to cover demand. Most of the studies of this problem assume fixed shifts and that demand is evenly distributed over the day. These assumptions can reduce utilization of nursing resources. In this thesis, we present a less constrained formulation of the nurse scheduling problem that minimizes staffing and preference costs while allowing intraday demand variability and staggered shifts. We developed a problem generator to create random instances and identified the most significant problem characteristics by preliminary runs. Varying and fixed shift policies were compared based on optimal solutions obtained with CPLEX. We demonstrate that nurse utilization can be improved if shift start times are allowed to vary for some types of intraday demand variability. Additionally, nurse pools with varied shift lengths were shown to improve the utilization.
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Martinez, Deisell. "A New Paradigm to Reduce Nursing Rate Impact on Health Service Organizations (HSOs) Through Hedging." Scholarly Repository, 2010. http://scholarlyrepository.miami.edu/oa_dissertations/647.
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Nursing costs account for over 50% of Health Service Organizations budgetary expenses. In a financially contracting Healthcare market that is amidst the focus of current National and International economic concerns and political agenda, here a counter-intuitive method to minimize exposure to rising nursing costs. Healthcares conundrum is marked by rising nursing costs, growing patient population, rising uninsured rates and decreasing insurance reimbursements. Participants traditionally focus on nurse staffing to minimize costs, but in its inextricable link to scheduling, budgets are often inaccurately projected as compared to actual staffing quantities and costs; this is largely due to front-line staffing policies and unpredictable nursing rates. This paper presents a nationwide experimental and empirical study of ten healthcare participants in a cross market Hedging application in Nursing Services as an approach to reduce exposure to rising nursing costs based on nursing rate volatility notwithstanding nursing quantity needs and day-to-day staffing decisions, and considering Options as a primary hedging approach to reduce budget disparity and yield nursing expense savings. Nursing monthly costs and demand were collected for all participants over varying range of time periods. A correlation analysis indicated that total nursing costs are highly correlated to nursing rate change, differing across participant types. Additionally, the data was analyzed for asset and options applicability, as well as tested for appropriateness of the Black-Scholes model for options pricing. The analysis concluded that nursing service qualifies as an underlying asset for options as a hedging technique and may be priced using the Black-Scholes model. The approach was tested on one of the participants, and indicated a savings of over 11% in nursing expenses and a decrease in budget disparity of approximately 14%. Hypothetical application across the non-tested participants alludes that the implementation results are likely to be sustainable across participant with dissimilar demographics.
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Cheam, T. S. "Expert systems and heuristics in rota design : With reference to hospital staffing." Thesis, University of Strathclyde, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.381513.
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Rönnberg, Elina. "Contributions within two topics in integer programming : nurse scheduling and column generation." Doctoral thesis, Linköpings universitet, Optimeringslära, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-76092.
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Integer programming can be used to provide solutions to complex decision and planning problems occurring in a wide variety of situations. The application of integer programming to solve real world problems requires a modelling phase in which the problem at hand is translated into a mathematical description of the problem, and a solution phase that aims at developing methods for producing solutions to the mathematical formulation of the problem. The first two papers of this thesis have their focus on the modelling phase, and the application of integer programming for solving nurse scheduling problems. Common to both papers is that the research has been conducted in collaboration with health care representatives, and that the models presented can be used for providing schedules that can be used by nurses. In the latter paper, a meta-heuristic approach is suggested for providing the schedules. The last three papers address method development and specifically the design of column generation methods. The first of these papers presents optimality conditions that are useful in methods where columns are generated using dual solutions that are not necessarily optimal with respect to a linear programming relaxation, and the usefulness of these conditions are illustrated by examples from the literature. Many applications of column generation yield master problems of a set partitioning type, and the fourth and fifth paper present methodologies for solving such problems. The characteristics of these methodologies are that all solutions derived are feasible and integral, where the preservation of integrality is a major distinction from other column generation methods presented in the literature.
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Patvivatsiri, Lisa. "A Simulation-Based Approach for Optimal Nurse Scheduling in an Emergency Department." Thesis, Virginia Tech, 2003. http://hdl.handle.net/10919/43867.
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The purpose of this research is to determine an appropriate nurse staffing strategy for the Intermediate Care Unit (ICU) and the Critical Care Unit (CCU) of the Emergency Department at York Hospital in York, Pennsylvania. This strategy must adhere to certain administrative policies while keeping patient waiting times within allowable limits. Determining the proper number of resources in an emergency department is a difficult problem because while assistance must be provided without delay at any time, the available resources are restricted by the hospital budget. This research involves simulating the operations of the Emergency Department at York Hospital using the software package Arena 7.0 to evaluate how the system is impacted by various nurse staffing strategies. A microcomputer-based decision support system (DSS) for nurse scheduling that was first developed by Sitompul in 1991 has been implemented using Turbo Pascal 6.0 to generate twenty possible nurse staffing plans. The best alternative staffing plan has been evaluated by the simulation model to determine its effect on waiting times for patients. Specifically, patients are divided into five ESI levels, where ESI-1 patients are the most serious and ESI-5 patients are the least serious, and waiting times are provided for each patient type.
While the DSS approach is useful in generating specific working schedules that are acceptable to the nurses' requirements, it is limited when developing an overall staffing plan. Specifically, the DSS requires a user-defined ratio of nurses working the various shifts, and this ratio must remain constant throughout each month even if patient arrival rates are known to be time dependent. As an alternative approach, OptQuest for Arena was employed to search for an overall nurse staffing plan. After providing Arena with 50 DSS-generated schedules that satisfy the nurses' requirements, OptQuest was used to determine the best schedule for each nurse to follow in order to minimize the average waiting time in the system for patients. Although the average waiting time obtained by the OptQuest staffing plan decreased from the current staffing plan for all patient types, a paired-t comparison determined using Arena's Output Analyzer indicated no statistical difference (at the 95% confidence level) between the DSS and OptQuest scenarios, in terms of the average waiting time for ESI-1 and ESI-2 patients. Further analysis indicated that a system bottleneck occurred in the triage area of the emergency department during evening hours. After adding one additional triage nurse in the evening shift, the OptQuest-generated staffing plan was re-evaluated. The results indicate that the suggested staffing plan reduced the average waiting time in the current staffing plan by 34.33%, 32.73%, 47.87%, 54.92%, and 52.41% for ESI-1, ESI-2, ESI-3, ESI-4, and ESI-5 patients, respectively. In addition, the average waiting time of ESI-1, ESI-2, ESI-3, ESI-4, and ESI-5 patients for the suggested staffing plan was 19.27%, 19.36%, 39.37%, 48.55%, and 46.64%, respectively, less than for the staffing plan determined when using the DSS approach alone.<br>Master of Science
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Håkansson, Rebecka. "Staff scheduling in elderly care - A simulation study of trade-offs." Thesis, Linköpings universitet, Optimeringslära, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-115754.
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Numerous studies have been done in the area of nurse scheduling, since this is a complex area with a lot of aspects that has to be taken into account. An interesting but little studied subject is how the requirements for the scheduling affect the possibility to construct a feasible schedule, or how the requirements affect the quality of the schedule. Of special interest is the effect of the composition of the workforce and of the change in scheduling rules. What is missing is results showing which composition and changes that are possible, and if so what is needed to be able to follow through with them. The changes tested in our simulation study are changes that is up for discussion at many wards in Sweden today, with topics such as split shifts and high part-time work percentages within the staff. In order to simulate various scheduling requirements and changes, an integer linear model for creating nurse schedules is developed. The results provide some insight into the dependence between scheduling requirements and the resulting schedules. In particular our simulation results indicate that there is an inherent conflict between high part-time work percentages and split or long work shifts. Our results can be used as a basis for future research on these topics in the area of nurse scheduling.
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Rönnberg, Elina. "Methods and Applications in Integer Programming : All-Integer Column Generation and Nurse Scheduling." Licentiate thesis, Linköping University, Linköping University, Optimization, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-15143.
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<p>Integer programming can be used to provide solutionsto complex decision and planning problems occurring in a wide varietyof situations. Applying integer programming to a real life problembasically involves a first phase where a mathematical model isconstructed, and a second phase where the problem described by themodel is solved. While the nature of the challenges involved in therespective two phases differ, the strong relationship between theproperties of models, and which methods that are appropriate for theirsolution, links the two phases. This thesis constitutes of threepapers, of which the third one considers the modeling phase, while thefirst and second one consider the solution phase.</p><p> </p><p>Many applications of column generation yield master problems of setpartitioning type, and the first and second papers presentmethodologies for solving such problems. The characteristics of themethodologies presented are that all successively found solutions arefeasible and integral, where the retention of integrality is a majordistinction from other column generation methods presented in theliterature.</p><p> </p><p>The third paper concerns nurse scheduling and describes the results ofa pilot implementation of a scheduling tool at a Swedish nursing ward.This paper focuses on the practical aspects of modeling and thechallenges of providing a solution to a complex real life problem.</p>
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Mietus, Dirkje Magrieta. "Understanding planning for effective decision support a cognitive task analysis of nurse scheduling /." [S.l. : [Groningen] : s.n.] ; [University Library Groningen] [Host], 1994. http://irs.ub.rug.nl/ppn/14222166X.
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Fuentes, Rebecca. "Implementing a Self-Scheduling Model to Decrease Nurse Turnover in Medical-Surgical Nursing." ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/7541.
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Nurses may experience job stress and burnout due to the amount of hours worked and demanding schedules. At one hospital, nurse turnover rates were high in medical-surgical units. Surveys and interviews conducted by hospital administration found that the bedside nurses were dissatisfied with scheduling practices and that this dissatisfaction could lead to heightened turnover. The purpose of this project was to determine if the implementation of a self-scheduling model would decrease nurse turnover on a medical-surgical nursing unit. This quality improvement project focused on facilitating the empowerment of nurses through a self-scheduling model; it followed the quality improvement steps of the Deming approach of Plan-Do-Check-Act. During the pilot, turnover rates of the unit that implemented the self-scheduling model were reviewed 30 days pre- and 30 days post-implementation. The project results showed a decrease in turnover rates from 12.96% to 10.00% on the unit where the model was implemented. This project has a social impact by allowing nurses to participate in a self-scheduling model to have workâlife balance, because the work environment plays a significant role in encouraging engagement and decrease in turnover. Implementing this model in other units may result in decreased nurse turnover for the hospital.
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Le, Khoi Nguyen. "A study of evolutionary multiobjective algorithms and their application to knapsack and nurse scheduling problems." Thesis, University of Nottingham, 2011. http://eprints.nottingham.ac.uk/13116/.
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Evolutionary algorithms (EAs) based on the concept of Pareto dominance seem the most suitable technique for multiobjective optimisation. In multiobjective optimisation, several criteria (usually conflicting) need to be taken into consideration simultaneously to assess a quality of a solution. Instead of finding a single solution, a set of trade-off or compromise solutions that represents a good approximation to the Pareto optimal set is often required. This thesis presents an investigation on evolutionary algorithms within the framework of multiobjective optimisation. This addresses a number of key issues in evolutionary multiobjective optimisation. Also, a new evolutionary multiobjective (EMO) algorithm is proposed. Firstly, this new EMO algorithm is applied to solve the multiple 0/1 knapsack problem (a wellknown benchmark multiobjective combinatorial optimisation problem) producing competitive results when compared to other state-of-the-art MOEAs. Secondly, this thesis also investigates the application of general EMO algorithms to solve real-world nurse scheduling problems. One of the challenges in solving real-world nurse scheduling problems is that these problems are highly constrained and specific-problem heuristics are normally required to handle these constraints. These heuristics have considerable influence on the search which could override the effect that general EMO algorithms could have in the solution process when applied to this type of problems. This thesis outlines a proposal for a general approach to model the nurse scheduling problems without the requirement of problem-specific heuristics so that general EMO algorithms could be applied. This would also help to assess the problems and the performance of general EMO algorithms more fairly.
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Pappas, Sharon Holcombe. "The effect of nurse staffing on organizational outcomes /." Connect to full text via ProQuest. Limited to UCD Anschutz Medical Campus, 2007.
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Thesis (Ph.D. in Nursing) -- University of Colorado Denver, 2007.<br>Typescript. Includes bibliographical references (leaves 176-188). Free to UCD affiliates. Online version available via ProQuest Digital Dissertations;
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Cheng, Chee Chian. "RESOURCE CONSTRAINT COOPERATIVE GAME WITH MONTE CARLO TREE SEARCH." OpenSIUC, 2016. https://opensiuc.lib.siu.edu/dissertations/1239.
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A hybrid methodology of game theory and Monte Carlo Tree Search was developed and the hybrid methodology was tested with various case studies through the nurse scheduling problem to show that it was able to form Pareto front dominance solutions, finding feasible solutions that were optimal and finding feasible partial solutions in over-constrained problems. The performance comparison was carried out with the Genetic Algorithm on the Resident Physician Scheduling problem and showed that the hybrid methodology was able to produce better quality solutions compared to the state of the art approach.
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Bennett, Ashlea R. "Home health care logistics planning." Diss., Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/33989.
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This thesis develops quantitative methods which incorporate transportation modeling for tactical and operational home health logistics planning problems. We define home health nurse routing and scheduling (HHNRS) problems, which are dynamic periodic routing and scheduling problems with fixed appointment times, where a set of patients must be visited by a home health nurse according to a prescribed weekly frequency for a prescribed number of consecutive weeks during a planning horizon, and each patient visit must be
assigned an appointment time belonging to an allowable menu of equally-spaced times. Patient requests are revealed incrementally, and appointment time selections must be made without knowledge of future requests. First, a static problem variant is studied to understand the impact of fixed appointment times on routing and
scheduling decisions, independent of other complicating factors in the HHNRS problem. The costs of offering fixed appointment times are
quantified, and purely distance-based heuristics are shown to have potential limitations for appointment time problems unless proposed arc cost transformations are used. Building on this result, a new rolling horizon capacity-based heuristic is developed for HHNRS problems. The heuristic considers interactions between travel times, service times, and the fixed appointment time menu when inserting appointments for currently revealed patient requests into partial
nurse schedules. The heuristic is shown to outperform a distance-based heuristic on metrics which emphasize meeting as much patient demand as possible.
The home health nurse districting (HHND) problem is a tactical planning problem which influences HHNRS problem solution quality. A set of geographic zones must be partitioned into districts to be served by home health nurses, such that workload is balanced across districts and nurse travel is minimized. A set partitioning model for HHND is formulated and a column generation heuristic is developed which integrates ideas from optimization and local search. Methods for estimating district travel and workload are developed and implemented within the heuristic, which outperforms local search
on test instances.
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Stratton, Karen Marie. "The relationship between pediatric nurse staffing and quality of care in the hospital setting /." Connect to full text via ProQuest. IP filtered, 2005.
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Thesis (Ph.D. in Nursing) -- University of Colorado, 2005.<br>Typescript. Includes bibliographical references (leaves 198-212). Free to UCDHSC affiliates. Online version available via ProQuest Digital Dissertations;
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Dias, Kelly Cristina Ferreira. "Proposição de um modelo matemático para elaboração e avaliação do quadro de lotação em uma instituição hospitalar com o uso de otimização combinatória." Universidade do Vale do Rio dos Sinos, 2015. http://www.repositorio.jesuita.org.br/handle/UNISINOS/4939.
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Previous issue date: 2015-07-29<br>Nenhuma<br>O desempenho operacional das instituições hospitalares tem relação direta com a escala de trabalho das pessoas. Assim, a tarefa de construção das mesmas exige atenção a diversos detalhes para obtenção de bons resultados. É neste contexto que um modelo, computacionalmente viável, para a elaboração das escalas de trabalho de pessoal de enfermagem, capaz de gerar elementos para avaliação de sua influência no desempenho operacional do hospital, torna-se importante. A contribuição desta pesquisa é apresentar um modelo matemático, baseado em restrições que permitam a elaboração de escalas para equipes de enfermagem com suporte computacional. Além disso, o estudo apresenta elementos para avaliação do Quadro de Lotação da equipe de trabalho. A tarefa de escalar pessoal é responsável por consumir muito tempo e nem sempre garantir o cumprimento das legislações e normas vigentes, visto ser normalmente um processo manual, sem uso de ferramentas computacionais personalizáveis às particularidades de cada hospital. O estudo foi realizado a partir de dados levantados junto a Unidade de Internação de um hospital em Porto Alegre/RS. Foram obtidas, no estudo de campo, informações relativas às necessidades da escala de trabalho nesta realidade particular, além do levantamento de indicadores de desempenho. Foram realizados experimentos para avaliar a influência das variáveis de decisão e parâmetros do Algoritmo empregado para a obtenção da solução. Na validação do modelo foram utilizados casos de teste hipotéticos, baseados em dados reais levantados no estudo. Com a aplicação do modelo, as escalas de trabalho puderam ser obtidas de forma a atender as necessidades dos setores hospitalares proporcionando menor impacto no desempenho operacional do hospital.<br>The operating performance of hospitals have directly related of rostering colaboration. Thus, the construction of the same task requires attention to the many details to obtain good results. In this context, a model computationally feasible to prepare the rostering nursing, capable of generating elements to assess its influence on the hospital's operating performance, it is important. The contribution of this research is to present a formal mathematical model, based on restrictions to allow the construction of scheduling nursing with computer support. In addition, the study presents elements for evaluating the Board's work team Capacity. Personal climbing task is responsible for time-consuming and not always ensure compliance with existing laws and regulations, as it is usually a manual process, without the use of customizable computational tools to the particularities of each hospital. The study was conducted from data collected at the inpatient unit of a hospital in Porto Alegre/ RS. They were obtained from the information field study on working range of needs in this particular reality, beyond the performance indicators survey. Experiments were conducted to evaluate the effect of the decision variables and the influence of the parameters of the Evolutionary Algorithm in the final solution. To validate the model we used cases of hypothetical test, based on real data collected in the study. With the application of the model, working scales can be obtained to meet the needs of hospital departments providing less negative impact on the hospital's operating performancer.
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Furuhashi, Takeshi, Tomohiro Yoshikawa, and Shun Otake. "A Study on Aggregation of Objective Functions in MaOPs Based on Evaluation Criteria." 日本知能情報ファジィ学会, 2010. http://hdl.handle.net/2237/20688.
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Session ID: TH-E1-4<br>SCIS & ISIS 2010, Joint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems. December 8-12, 2010, Okayama Convention Center, Okayama, Japan
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Mollica, John A. "Exploring the Relationship between Patient Acuity and Fatigue among Nurses." Ohio University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1587375659501817.
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Myers, Robert A. "Engineering Healthcare Delivery: A Systems Engineering Approach to Improving Trauma Center Nursing Efficacy." Wright State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=wright1482419145222356.
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Gurumurthy, Prakash. "Dynamic stochastic vehicle routing model in home healthcare scheduling /." free to MU campus, to others for purchase, 2004. http://wwwlib.umi.com/cr/mo/fullcit?p1426064.
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FURUHASHI, Takeshi, Tomohiro YOSHIKAWA, Masafumi YAMAMOTO, 武. 古橋, 大弘 吉川 та 雅文 山本. "島モデル型多目的GAにおける可視化を用いたユーザの意思に基づくインタラクティブ探索". 日本知能情報ファジィ学会, 2011. http://hdl.handle.net/2237/20696.
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Stanley, Leisa J. "Association among neonatal mortality, weekend or nighttime admissions and staffing in a Neonatal Intensive Care Unit." [Tampa, Fla.] : University of South Florida, 2008. http://purl.fcla.edu/usf/dc/et/SFE0002421.
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FURUHASHI, Takeshi, Tomohiro YOSHIKAWA, Daisuke YAMASHIRO, 武. 古橋, 大弘 吉川 та 大輔 山代. "可視化手法を用いた多目的最適化問題における満足解の選択支援". 日本知能情報ファジィ学会, 2008. http://hdl.handle.net/2237/20682.
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Heus, Kamel. "Gestion des plannings infirmiers : application des techniques de programmation par contraintes." Université Joseph Fourier (Grenoble), 1996. http://www.theses.fr/1996GRE10071.
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Le problème d'établissement de plannings de travail, bien que n'étant pas spécifique au milieu hospitalier, est l'un des problèmes les plus difficiles et les plus délicats rencontre par tout service de soins<br>La diversité des contraintes à satisfaire fait de la génération des plannings une tâche complexe qui inclut une phase importante de négociation et de calcul combinatoire. Décrits et explores par des techniques de recherche opérationnelle et d'intelligence artificielles, ces problèmes suscitent un intérêt nouveau en raison de l'émergence de nouvelles techniques de programmation et du développement du nouveaux modèles d'organisation de travail<br>Nous présentons dans le cadre de ce travail une nouvelle approche de résolution du problème de plannings infirmiers basée sur les techniques de programmation par contraintes (PPC). La formulation du problème comme un CSP permet une gestion transparente des contraintes et des affectations journalières des infirmiers, facilitant ainsi l'interactivité avec l'utilisateur et la prise en compte des vœux individuels, permettant par conséquent un management plus participatif des plannings<br>L'association de la programmation orientée objet avec la ppc facilite la maintenance du programme chaque fois qu'il est nécessaire d'ajouter, modifier ou supprimer des objets, règles ou contraintes<br>Afin de limiter la recherche de solutions dans un espace plus restreint, nous proposons deux méthodes de réduction de la complexité du problème, l'une basée sur l'élimination des valeurs permutables et l'autre sur la décomposition du problème en deux sous-problèmes
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Delgado, Luiz Gustavo Martinelli 1986. "Produção de mudas nativas sob diferentes manejos hídricos /." Botucatu : [s.n.], 2012. http://hdl.handle.net/11449/99747.
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Orientador: Magali Ribeiro da Silva<br>Banca: Antonio Evaldo Klar<br>Banca: Gisele Ferreira<br>Resumo: A quantificação da necessidade hídrica para produção de mudas é de suma importância, pois além de afetar o desenvolvimento e a qualidade da planta, a escassez dos recursos hídricos se torna cada vez mais frequente. Este estudo teve por objetivo analisar os efeitos do manejo hídrico (lâmina bruta e freqüência de irrigação) no desenvolvimento e qualidade das mudas de Ingá (Inga vera Willd. subsp. affinis (D.C.) T.D. Penn.), Canafístula (Peltophorum dubium (Spreng.) Taub.) e Jatobá (Hymenaea courbaril var. Stilbocarpa (Hayne) Y.T. Lee & Langenh) e determinar o manejo hídrico mais adequado para produção de mudas de cada espécie do ponto de vista de qualidade e eficiência do recurso hídrico. O experimento foi conduzido no Viveiro do Departamento de Recursos Naturais/Setor de Ciências Florestais, na Fazenda Experimental Lageado, pertencente à Faculdade de Ciências Agronômicas (FCA) da UNESP, no município de Botucatu - SP. O substrato utilizado foi o produto comercial denominado Carolina Soil Florestal. O delineamento estatístico foi um fatorial (3X2) inteiramente casualizado , constituído dos seguintes fatores: 3 lâminas brutas (6, 10 e 14 mm) e 2 frequências de irrigação (2 e 4 vezes ao dia) para cada espécie. Cada experimento foi composto por seis tratamentos, sendo cada tratamento com quatro repetições, cada qual composta por 54 plantas (12 úteis/repetição), totalizando 48 plantas por tratamento. Foram avaliadas as seguintes características nas mudas: altura da parte aérea (H); diâmetro de colo (DC); massas de matéria seca da parte aérea (MSA), das raízes (MSR) e total (MST); estruturação das raízes; transpiração; sobrevivência em vasos mantidos sem irrigação. Para as espécies Inga vera Willd. Subsp. affinis (D.C.)... (Resumo completo, clicar acesso eletrônico abaixo)<br>Abstract: The quantification of water requirement for seedlings' production is vital because, besides affecting the development and quality of the plant, the scarcity of resources becomes more and more frequent. This study aims to analyze the effects of water management (brute blade and irrigation frequency) on the development and quality of Inga seedlings (Inga vera Willd. subsp. affinis (D.C.) T.D. Penn.), Senna seedlings (Peltophorum dubium (Spreng.) Taub.) and Jatoba seedlings (Hymenaea courbaril var. Stilbocarpa (Hayne) Y.T. Lee & Langenh) and determine the most appropriate water management for seedlings production of each specie when it comes to quality and efficiency of the water resource. The experiment was made at the arboretum of the Natural Resources Department/Forest Sciences Sector, at Lageado Experimental Farm, which belongs to UNESP Agronomic Sciences College (FCA), in Botucatu - SP. The utilized substratum was a commercial product which is called "Carolina Soil Florestal®". The statistical design was one factorial (3X2) completely randomized, constituted by the following agents: 3 irrigation depths (6, 10 and 14 mm) and two irrigation frequencies (twice and four times a day) for each... (Complete abstract click electronic access below)<br>Mestre
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Delgado, Luiz Gustavo Martinelli [UNESP]. "Produção de mudas nativas sob diferentes manejos hídricos." Universidade Estadual Paulista (UNESP), 2012. http://hdl.handle.net/11449/99747.
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delgado_lgm_me_botfca.pdf: 570387 bytes, checksum: a67a86a29b4a2709b5aef452fc1ad154 (MD5)<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)<br>A quantificação da necessidade hídrica para produção de mudas é de suma importância, pois além de afetar o desenvolvimento e a qualidade da planta, a escassez dos recursos hídricos se torna cada vez mais frequente. Este estudo teve por objetivo analisar os efeitos do manejo hídrico (lâmina bruta e freqüência de irrigação) no desenvolvimento e qualidade das mudas de Ingá (Inga vera Willd. subsp. affinis (D.C.) T.D. Penn.), Canafístula (Peltophorum dubium (Spreng.) Taub.) e Jatobá (Hymenaea courbaril var. Stilbocarpa (Hayne) Y.T. Lee & Langenh) e determinar o manejo hídrico mais adequado para produção de mudas de cada espécie do ponto de vista de qualidade e eficiência do recurso hídrico. O experimento foi conduzido no Viveiro do Departamento de Recursos Naturais/Setor de Ciências Florestais, na Fazenda Experimental Lageado, pertencente à Faculdade de Ciências Agronômicas (FCA) da UNESP, no município de Botucatu – SP. O substrato utilizado foi o produto comercial denominado Carolina Soil Florestal. O delineamento estatístico foi um fatorial (3X2) inteiramente casualizado , constituído dos seguintes fatores: 3 lâminas brutas (6, 10 e 14 mm) e 2 frequências de irrigação (2 e 4 vezes ao dia) para cada espécie. Cada experimento foi composto por seis tratamentos, sendo cada tratamento com quatro repetições, cada qual composta por 54 plantas (12 úteis/repetição), totalizando 48 plantas por tratamento. Foram avaliadas as seguintes características nas mudas: altura da parte aérea (H); diâmetro de colo (DC); massas de matéria seca da parte aérea (MSA), das raízes (MSR) e total (MST); estruturação das raízes; transpiração; sobrevivência em vasos mantidos sem irrigação. Para as espécies Inga vera Willd. Subsp. affinis (D.C.)...<br>The quantification of water requirement for seedlings’ production is vital because, besides affecting the development and quality of the plant, the scarcity of resources becomes more and more frequent. This study aims to analyze the effects of water management (brute blade and irrigation frequency) on the development and quality of Inga seedlings (Inga vera Willd. subsp. affinis (D.C.) T.D. Penn.), Senna seedlings (Peltophorum dubium (Spreng.) Taub.) and Jatoba seedlings (Hymenaea courbaril var. Stilbocarpa (Hayne) Y.T. Lee & Langenh) and determine the most appropriate water management for seedlings production of each specie when it comes to quality and efficiency of the water resource. The experiment was made at the arboretum of the Natural Resources Department/Forest Sciences Sector, at Lageado Experimental Farm, which belongs to UNESP Agronomic Sciences College (FCA), in Botucatu – SP. The utilized substratum was a commercial product which is called “Carolina Soil Florestal®”. The statistical design was one factorial (3X2) completely randomized, constituted by the following agents: 3 irrigation depths (6, 10 and 14 mm) and two irrigation frequencies (twice and four times a day) for each... (Complete abstract click electronic access below)
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Purnomo, Hadi Waskito. "Solving midterm and short-term nurse scheduling problems." Thesis, 2005. http://hdl.handle.net/2152/30229.
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As in many service organizations, hospitals use a variety of shift types when scheduling nurse resources. In general, the operational decisions of workforce planning can be divided into two interrelated problems: (1) midterm planning in terms of shift assignments for up to six weeks at a time, and (2) the short-term daily adjustment of schedules. Individual nurse profiles are a function of a unit's skill requirements, labor laws, and other qualifications, and are results of the long-term planning decision. At the midterm level, the goal is to match nurse resources with the expected workload over the planning horizon. Rosters are designed to maximize personnel preferences as well as minimize cost. To investigate this problem, a large-scale integer program model was developed and solved with two methodologies. The first is based on Lagrangian Relaxation based heuristic, which uses a combination of subgradient optimization and Bundle methods, with variable fixing strategy and IP-based heuristic. The second methodology is a branch-and-price algorithm that makes use of several new branching rules, an extremely effective rounding heuristic, a dual bound procedure, and specialized aggregation scheme. To extend the algorithms to solve different levels of nursing skills, a downgrading strategy is used by giving scheduling priorities to higher level of worker. The midterm schedules provide a blueprint for the monthly work assignments of the staff. Because of absenteeism and unpredicted demand fluctuations, though, a hospital-wide reallocation of resources is needed on a daily basis. While the overall goal is to ensure adequate coverage at minimize cost, a secondary goal is to minimize changes to the assigned rosters. Nevertheless, to allow more flexibility, nurses are permitted to work in several units during a shift rather than just their home unit. An IP-based column generation methodology was developed to solve this problem and applied within a rolling horizon framework. The idea is to consider 24 hours at a time, but implement the results for only the first 8 hours. All algorithms were tested on data obtained from a 400-bed US hospital. The results show an order-of-magnitude improvement over current approaches in terms of solution quality and computation times.<br>text
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Gao, Jian-Yuan, and 高建元. "A computer-based nurse scheduling system." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/35797223489267071051.
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Goertzen, Norman. "An incidence matrix approach to nurse scheduling." 1985. http://hdl.handle.net/1993/30014.
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Emma and 蔣雅慈. "Multi-Objective Nurse Scheduling Using Scatter PSO." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/64296188743774598841.
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碩士<br>國立暨南國際大學<br>資訊管理學系<br>97<br>It is time-consuming to generate nurse scheduling using traditional human-involved manner in order to account for administrative operations, business benefits, governmental regulations, and fairness perceived by nurses. Moreover, the objectives cannot be measured quantitatively even when the nurse scheduling is generated after a lengthy manual process. This paper presents a Multi-Objective Scatter PSO combined with Tabu Search to tackle the real-world nurse scheduling problem. By the proposed mathematical formulation, the hospital administrator can set up multiple objectives (such as cost reduction and nurse-satisfaction raising) and stipulate a set of scheduling constraints (such as operational practice and governmental regulations), and our system can automatically generate a set of solutions which nearly optimize the given objectives and meet the specified constraints. We used two kinds of problems to evaluate the performance of Scatter MOPSO, first is benchmark functions and second is nurse scheduling problem. The experimental results manifest that our method performs better than NSGA II and MOPSO on benchmark functions, and better than MOPSO on nurse scheduling problem.
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Zhu, Qing-Yu, and 朱慶餘. "Using Parallel Genetic Algorithm for Nurse Scheduling Problem." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/13182214869045384042.
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碩士<br>大葉大學<br>工業工程與科技管理學系<br>93<br>Nurse scheduling is the most important part of nursing human resources’ management, the quality of nurse scheduling influence caring of the sick and working morale directly. Since people pay much attention to service quality and nursing costs play a major portion of overall expenditure in hospital operations, people place importance on research of nurse scheduling.
This work presents varied length genetic algorithm for solving nursing scheduling problems and compare with constraint genetic algorithm. Finally, this work attempts to combine conception of PC cluster to construct Parallel Genetic Algorithm for the promotion solution potency.
Key words: Varied length genetic algorithm, Nurse scheduling problem, Constraint genetic algorithm, PC cluster, Parallel Genetic Algorithm
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Hwa-Jinag, Shieh, and 謝華江. "Analysis and Implementation of Nurse Scheduling Support System." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/22582140181371177039.
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碩士<br>國立屏東科技大學<br>資訊管理系<br>93<br>Nursing expenditure occupies 30~40 percentage of overall expenditure in most hospitals business operation costs. So how to successfully manage human resource and efficiently achieve business operation is crucial topic in hospital management. Nurse Scheduling is the process of generating timetables which specify the duty shifts to nurses over given period of time. In the past, correlated researches regarding nurse scheduling were presented using integer programming model, cyclical scheduling and elicitation method and so on, for getting fittest solutions (timetables).
The Nurse Scheduling Problem (NSP) is a combinatorial optimization problem. It is the task of allocating nurse duty in three shift modes under constraints.
In this thesis, an intelligent and efficient ant-based searching algorithm is, although used the ant system cannot be demonstrated whether it is optimal solution or not, but it can produce many approximately fittest solutions in a short time. Consequently, they are more suitable for nurse scheduling problems.
According to the experiment results, it is observed that the ant system is very efficient for solving nurse scheduling problem.
Keywords: Nurse Scheduling Problem, Ant Algorithm, Genetic Algorithm.
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Lin, Ying-Jie, and 林英傑. "Applying Fuzzy and AHP toSolve Nurse Scheduling Problems." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/29270346804049176928.
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碩士<br>中原大學<br>工業與系統工程研究所<br>101<br>The radiologist scheduling problem is a multi-objective and complicated problem. The purpose of this research is to obtain an appropriate number of radiologists, and assign their monthly schedule which satisfies the government regulations, hospital regulations, and the radiologists’ preference. The radiologists of the Emergency Room have eight hour a shift, three shifts a day,and seven days a week. This research considers not only hard constraints (i.e., government regulation), but also soft constraints (i.e., radiologists’ preference). Hence, the formulated radiologist scheduling problem becomes more flexible and practical.
The methodology of this research is to use the fuzzy theory to obtain the appropriate radiologists, construct a multi-objective radiologist scheduling problem, and apply the analytic hierarchy process (AHP) to determine the weight of objectives. This study adopts the ILOG software to solve this proposed problem. If the optimal solution is zero, it means that there is no violation against soft constraints. Otherwise, there is at least one violation against soft constraints.
Further, this research performs the sensitivity analysis for the number of radiologists. The findings show that hospitals can determine the feasible number of radiologists and obtain their monthly schedule. This study performs the scenario analysis to explore the impact of the vacation constraint on the radiologist schedule. The outcomes show that adding the vacation constraint can generate a fairer radiologist schedule.
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Li, Chun-Te, and 李俊德. "Constraint Programming Models for 7x24 Manpower Scheduling Problem:A Case of Nurse Scheduling Application." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/04416006760378906263.
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碩士<br>國立交通大學<br>運輸科技與管理學系<br>93<br>For most service industries, the crew scheduling or rostering is a major concern of the management because the increasing cost of service professionals. Nurse scheduling problem (NSP) is a typical case of year-round service crew scheduling problems. The scheduler not only has to provide a timetable or roster to satisfy all labor and the hospital regulations (hard constraints) but also needs to consider to fit individual preferences (soft constraints) as much as possible. Moreover, some nurse shift pre-assignments often reduce the choice for other unfilled slots. Thus the complicated NSP is considered as a combinatorial search problem.
The character of NSP is like a constraint satisfaction problem (CSP). Thus, we formulate the NSP as a CSP, using constraint programming (CP) Model to solve the problem and conducted a case study of the medical ward in a general hospital, department of health. In order to solve the problem efficiently, we separate the NSP in two phases. The first phase is “Off-day Scheduling Problem”, which solve the off-day roster for each nurse. The second phase is “Shift Scheduling Problem”, which use the off-day roster result to solve the equitable roster.
The CP models were implemented on a P4 1.8G Hz personal computer and used the ILOG OPL Studio 3.0 to solved our CP. The result of a full-month roster of case problem can be generated in 15 minutes. Compared with case rosters, and obtained very positive response. In addition to the roster schedule results, our model also provides as a reference for the scheduler.
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鄭正大. "A study on workforce allocation and labor scheduling for service industries:the nurse scheduling case." Thesis, 1992. http://ndltd.ncl.edu.tw/handle/64995352251237999693.
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Hsu, Tzu-Ling, and 徐子玲. "Building a Web-based Supporting System for Nurse Scheduling." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/46201301238976114553.
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碩士<br>台北醫學院<br>醫學資訊研究所<br>90<br>This research defines nurse scheduling as a timely planning procedure for the in-unit nurses’ work shifts and off days, which would observe the scheduling policy of the hospital or unit, and take into account the manpower requirements of the unit, the personal attributes of the ones to be scheduled and the demands of the patients. Nurse scheduling should distribute the employees and tasks in a reasonable way that the nursing human resources can be put into an effective use.
Nowadays the nursing administrators are faced with problems like labor shortage, the worker self-consciousness which appeals to a better working environment, and the patient/consumer self-consciousness which demands a better treatment quality. Thus, how to make a more reasonable nurse scheduling and how to apply the nursing human resources in a more efficient manner would be worth endeavors of the whole nursing industry.
Through thorough data collection, this research sorts and arranges the shift types, scheduling rules and scheduling policies, and completes a personal attribute allocation of the nurses to be scheduled. By way of designs through WEB, HTML (Hyper Text Markup Language), ASP (Active Serve Page) and VBscript, an Interactive Nurse Scheduling Support System is constructed to adjust the attributes of the scheduled to fit the scheduling process, and to provide the head nurses or other schedulers references of timely changes on the attributes of the scheduled persons, so that adjustments can be made within the next shift. With the help of this support system, the schedulers and the scheduled persons can easily cut in to schedule or reschedule their shifts, and the head nurses do not need to sum up manually the considering factors like the times of the nurses’ working in the night shift, the times of undertaking the night shifts completely, off days on holidays, etc. Time can be saved for scheduling and a higher accuracy as well as acceptability can be achieved.
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Lai, Ming-Yi, and 來明義. "Analysis and Implementation of Nurse Scheduling by Intelligent Algorithm." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/50798494728966171079.
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碩士<br>國立屏東科技大學<br>資訊管理系所<br>95<br>How to successfully manage human resource and efficiently achieve business operation is a very important research topic in hospital management. If the manager of a hospital wants to successfully manage human resource, the nurse scheduling problem is a crucial task. The nurse scheduling problem is a combinatorial optimization problem. It is the process of generating timetables which give the duty shifts to nurses over given period of time. In order to obtain the fittest solutions (timetables), in the past, there have numerous approaches regarding nurse scheduling been presented, such as ant system, integer programming model, bacterial evolutionary algorithm, and so forth.
This thesis presents two intelligent algorithms named ASSH (Ant System with Savings Heuristic ) and GALS (Genetic Algorithm with Local Search) to solve the nurse scheduling problem for hospital management. In addition, a M-BEA (Modified Bacterial Evolutionary Algorithm) method is presented for suiting real-life application in nurse scheduling task. According to the simulation results, the proposed methods are very effective and efficient.
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Chung, Chia-yen, and 鍾佳燕. "An Eugenic Genetic Algorithm for the Nurse Scheduling Problem." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/97828639832492910698.
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碩士<br>南華大學<br>資訊管理學系碩士班<br>98<br>The purpose of this study is to propose a genetic algorithm (GA) method for a local hospital''s clinical room nurse scheduling problem. The major challenge of this clinical room NSP is to assign the nurses to the clinical rooms that match their clinical specialty. As the number of clinical room nurse is high, it is very time consuming to manually schedule the work shift. Therefore, this study aims to develop a GA to solve the clinical room nurse scheduling problem. In order to derive a higher fitness solution, this study adapts the concept of two stages mating GA. Two different crossover methods are sued in the first and second stage respectively to diver the chromosome population. The eugenic concept is used in the selection of offspring so that better fitness solution could be obtained faster. Ten trail run were conducted with 200 iterations for the proposed methods and traditional GA methods. The experimental results show the two-stage mating with the eugenics provides better fitness solution than the traditional method with smaller standard variation.
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Yang, Chung-Min, and 楊崇民. "Case study on nurse scheduling optimization for medical ward." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/54244976133241027222.
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碩士<br>國立臺灣海洋大學<br>系統工程暨造船學系<br>101<br>Nurse scheduling is important in order to take care of both patients’ lives and nurses’ health. In the paper, some large hospital is chosen as case study to discuss the optimization of nurse scheduling. The chosen hospital proceeds nurse scheduling per month. A nurse can work one of three shifts for one day: day shift, night shift and late night shift. There are many constraints when scheduling: hard constraints and soft constraints. A nurse scheduling must satisfy all hard constraints and as many soft constraints as possible. The objective is to averagely distribute all holidays to all nurses as far as possible. In the paper, a improved hill-climbing method is proposed to optimize the nurse scheduling problem. There are three cases of nurse scheduling. The results show that the simplified hill-climbing method optimizes every case in a few seconds. Every optimized nurse table averagely distributes all holidays to all nurses.
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Lin, Tung-Han, and 林東翰. "A Hybrid Particle Swarm Optimization Approach for Intelligent Nurse Scheduling." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/69874599342776924628.
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碩士<br>佛光大學<br>資訊應用學系<br>101<br>Nurse scheduling is very complex task for hospital administrator because the human schedule planner has to ensure that every scheduling decision made complies with a legal constraints and nurse preference constraints. To provide patients with high quality care as efficiently as possible, hospitals must improve the nurses work scheduling. Recently, there has been a dramatic proliferation of research concerned with evolutionary algorithms approach for nurse scheduling. Particle Swarm Optimization (PSO) is one of an evolutionary algorithm. PSO has been successfully applied to handle optimization problems. It is principled simple, converges fast, and is confirmed to be efficient for NRP. In order to improving algorithm efficiency, this study purposed a Hybrid Particle Swarm Optimization (HPSO) algorithm to arrange the duty on shift. HPSO is based on the POS for optimize, in addition, to combine a Constraint-Handling Technology maintains validity particles (solution).The experimental results clear indication that the proposed HPSO algorithm really improves the quality of work scheduling. As for the execution time, it only takes about 90~120 seconds to find an acceptable work schedule for different scenarios, which is still fast enough to support real-world applications. In conclusion, HPSO is a fast and valid of algorithm.
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Jheng, Hong-Bin, and 鄭宏彬. "Using Multi-Objective Programming for Establishment of Nurse Scheduling Model." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/41692243087500731790.
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碩士<br>國立雲林科技大學<br>工業工程與管理研究所碩士班<br>97<br>In this search, the discussion of this research is nurse scheduling problem, which is according to relevant laws and regulations of the nurse department to make an appropriate roster and human resources to satisfy the requirements of the nursing staffs. The solution goal of the addressed problem is to meet the needs of staffs, that is, minimizes the violate times of the soft constraints. First, a multi-objective programming model is constructed for solving the problem optimally. Then, a genetic algorithm based heuristic is presented to obtain a near optimal solution. The real data provided from the National Taiwan University Hospital Yun-Lin branch is applied to demonstrate the adaptability of the constructed heuristic. The computational results shown that using genetic algorithm is more efficient than manually for nurse scheduling, the results also shown that the performance which is obtained from the heuristic algorithm is better than genetic algorithm. It validates the findings of the study that can meet the laws and the policies of the nurse department, then provides staffs a roster which can satisfy the needs of staffs.
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Win, Chun-Pin, and 溫俊彬. "A study of nurse scheduling factors in a regional hospital." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/46574880404815984817.
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碩士<br>南台科技大學<br>工業管理研究所<br>96<br>Since the implementation of the National Health Insurance in 1995, nursing personnel had confronted by reducing the number of full-time nurse and increasing the number of part-time nurse. Thus, many problems, such as increase the workload, decrease the healthcare quality and staff job satisfactions, appeared in many healthcare institutions. Nurse staffing is account for about 30% to 40% of all institution staffing expense. It becomes a critical issue for the hospital administration to manage the nurse staffing. One of the top issues for the nurse staffing is to find out the real critical factors to be considered in shift scheduling.
This study is to investigate a regional hospital. By interviewing with several administrative staff and referring with previous related researches, we construct a four phase framework. They are “fairness”, “logicalness”, “arrangement”, and “fatigue”. Based upon this framework, two questionnaires are created. While one Analytical Hierarchy Process questionnaire is conducted to all managers in that hospital, another questionnaire is preceded to all 250 nurses. The results showed several different considerations on the scheduling factors exist among various departments in that hospital. On the other hand, the nurse questionnaire revealed their desire and satisfaction on the current scheduling issue. The administration of the hospital will be able to use these results to improve their current scheduling procedure.
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Shieh, Ching-Tsai, and 謝青綵. "The Research of Nurse Scheduling Information System for Operations Room." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/81130768207421321243.
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碩士<br>國立中正大學<br>資訊管理系醫療資訊管理研究所<br>104<br>Nurse scheduling is a difficult task. It not only has to meet the requirements of departmental policy and staff allocation, but also has to put personal needs into consideration. There are many rules, prerequisites and limitations in Operation Room nurse scheduling, and these requirements are quite complex. Nurse scheduling for Operation Room is more challenging than that for general wards because emergent surgeries need to be conducted whenever is needed.
Currently, nurse shifts are scheduled manually in most medical institutions. It appears to be quite a time-consuming and verbose process for any scheduler because when drafting the duty roster, she or he needs to attend to a lot of detailed aspects, such as continuous working hours, manpower demand, vacation allotments, equality of all kinds of shift, personal preferences to particular shifts, professional specialty considerations, crisis management capabilities of personnel, and allowances. And yet the first few versions are far from finalized. It still has a lot to be further adjusted, because the roster is not fully in line with the demand of nurses. Most importantly it is difficult or even possible to guarantee fairness and reliability of the schedule, since there is no effective way to verify the manually generated roster.
This study aims to build a nurse scheduling system for Operation Room to ensure the fairness and reliability of the duty roster, meet the personal needs of individual nurses, and furthermore indirectly enhance nurses’ performance and their service quality. Since the system generates the duty roster automatically, it will help supervisors save a lot of time usually spent up to 8 hours when they go through a lengthy process to schedule a roster by hand. In this way, they can quickly and effectively manage staff allocation, which also means more time and energy to fulfill their management duty.
A genetic algorithm model was utilized to obtain the optimal schedule. Nurses were first divided into four distinct groups based on their professional expertise. Three main factors were weighted into the model, namely perception, workload and duty fee, and Analytic Hierarchy Process (AHP) was applied to determine their weighs. In addition, several soft and hard constraints suggested from literature were also included in the model. The model was then validated with a field test and the superiority of the automatically generated schedule over its manual opponent was also confirmed by a satisfaction survey.
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Kang, Jia-Rong, and 康家榮. "Nurse Scheduling with Multiple Preference Ranks for Shifts and Days-off." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/n6328x.
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博士<br>國立交通大學<br>工業工程與管理系所<br>103<br>It has been important to make a fair and satisfactory schedule for nursing staff. In the previous works, the satisfaction of nursing staff for schedule was usually based on the total amount of assignments of the preferred shifts and days-off of the nursing staff at the current planning period. However, the design of such satisfaction has some flaws, as nursing staff have other different preference ranks for shifts and days-off, which may affect fairness of schedule, and numbers of the preferred shifts and days-off are not equivalent so that the planned schedule might be biased. Therefore, this dissertation proposes a novel satisfaction which takes into account the balance of the preference weights for shifts and days-off, different preference ranks towards each shift, the priority ordering of the nursing staff for planning their shift schedule, and the historical data of previous planning period. The proposed satisfaction can fairly satisfy all the nursing staff’s preferences for shifts and days-off to maximize the satisfaction of the nursing staff for their schedules. In addition, the dissertation considered schedule constraints to build a model based upon integer programming to an optimal solution of schedule in small-scale problems, and develops three improved genetic algorithms including improved genetic algorithm (IGA), hybrid genetic algorithm (HGA) and genetic algorithm with immigrant scheme (GAIS), to search near optimal solutions of schedules in large-scale problems. The main contribution of our research is that we consider that the nursing staff’s satisfaction is affected by multiple preference ranks and their priority ordering to be scheduled, so that the quality of the generated schedule is more reasonable.
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Yang, Yuting, and 楊鈺婷. "A Nurse Scheduling System For the Emergency Department of a Hospital." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/65878527151671949173.
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碩士<br>德明財經科技大學<br>資訊科技與管理研究所<br>100<br>Due to the rapid progress in medical technology and the increasing of requirement on medical service, the management of nurse resource becomes a critical factor For providing satisfactory service to patients. In the paper, we present a nurse scheduling system which not only well organizes the nurse resources but also balances nurses’ requirement so that nurses can get proper rest to provide high quality medical service to patients. The purpose of the paper is to implement an automatic nurse scheduling system, which focuses on the emergence department (ED) of a hospital. By interviewing the nurse who is responsible For the nursing scheduling, we identified the rules and related factor related to nursing scheduling, and then established the “soft” and “hard” constraints For the scheduling system. The goal of the generated schedule is to meet every hard constraints and as many soft constraints as possible. Comparing with the traditional manual scheduling system, which takes almost a week to complete the shift table, our nurse scheduling system was demonstrated to complete the work in less than one minute.
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Tsai, Chih-Hao, and 蔡智豪. "An Integrated Research of Nurse Staffing and Scheduling in a Hospital." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/20601323288849905492.
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碩士<br>輔仁大學<br>管理學研究所<br>90<br>Nursing has the feature of working for 24-hour without days-off. In the cost structure of most of hospitals, nursing costs account for high percentage of total costs in hospitals. Therefore, hospital administrations have very important issue of how it can manage nurses effectively and efficiently.
On the process of nurse scheduling research, the scheduling policy of hospitals must not only meet related-law and operation policy, but also satisfy labor requirement. Nevertheless, most of researches have only single consideration among those things on dealing with staffing and scheduling problems. As a matter of fact, there is any close relation between staffing and scheduling. It leads to joint consideration between two.
This dissertation, at first, develops the algorithm, which is based on the number of patients, the degree of their severity, and the different working day, for nurse staffing problem in the hospital. The algorithm acquires the range of optimal workforce size on the conditions of saving costs and meeting labor requirement. And then, we build up mathematical programming model for scheduling problem, of which objective is to promote the satisfaction of nurses working. The model also consider administrative convenience and the generality of application, and fit with labor law, operation policy, and a variety of environmental requirement. We finally establish optimal scheduling by terms of above procedures.
In the part of experimental study, we choose nurses of orthopedics in any domestic hospital as the research object. We carry out the test for three-week planning horizon, and assure that our model can solve the integrative problem of nurse staffing and scheduling fast and effectively.
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Wu, Jheng Sian, and 吳政憲. "Template Based Nurse Scheduling Problem and Specialty Pairing Considered GA Methods." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/68839508044874977715.
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Wu, Wei-Ting, and 吳威霆. "Impartial Schedule Targeted Nurse Scheduling Problems and Genetic Algorithm Based Methods." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/68337807844885790155.
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碩士<br>臺灣大學<br>工業工程學研究所<br>98<br>Nurse scheduling problem is a more specific problem comparing with the general employee scheduling problem. Generally, in our survey, nurse scheduling is solved manually by the head nurse due to the consideration of many conflict restrictions. However sometimes errors and time cost took places in the manually scheduling mode. Therefore, in order to increase the efficiency and provide a time-saving method to solve the nurse scheduling problem, this research establish two nurse scheduling modes - The Package Shift mode and Non-Package Shift mode.
The Package Shift mode is restricted to that the nurse only can take one type shift throughout one month. For example, once the Package Shift mode is adopted, the nurse is on night shift throughout this month, if starting on night shift. Contrary to the Package Shift mode, the Non-Package Shift mode is without this restriction.
In Taiwan, the head nurse will take the historical information about the nurses, such as nurse rank, accrued/owed leave and the number of furlough, in order to determine nurse requested leave priorities and carrying on nurse scheduling problem. On the other hand, the Benchmark problems of foreign hospitals belong to Non-Package Shift mode.
In order to solve the nurse scheduling problem automatically rather than manually, this research provide a huristic algorithm which is based on genetic algorithm and an automation software package is provided to solve nurse scheduling problem under Package Shift mode and Non-Package Shift mode.
Under Package Shift mode, for the sake of impartial of principle, historical data are utilized, such as the amount of leaves and the amount of shifts. Under Non-Package Shift mode, the Belgian hospital BCV range of issues are utilized to study the scheduling problem, in which, the Questions in the implementation of Various types of problem-specific GA program must be determined in first. Genetic algorithm model optimizes a number of sub-goals and guides the results toward the violation of constraint scheduling to minimize the number of the direction of evolution.
Compare to literatures, our result shows that this research perform much more effective and better on solving benchmark problem. Moreover, the numerical examples show that our proposed method can be an alternative of manual nurse scheduling, furthermore, applicable effectively on nurse scheduling under both Package Shift mode and Non-Package Shift mode.
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Lee, Cheng-yang, and 李政洋. "An Application of the Genetic Algorithm for the Nurse Scheduling Problem." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/04684856542520564054.
Full textAbstract:
碩士<br>南華大學<br>資訊管理學系碩士班<br>99<br>At presently, the shift in the nurse schedule in the hospital is arranged by human resource. While arranging, the matching degree between the duty clinical rooms and nurse’s professional specialty, leave timing, and the term of hospital are all considerate. According to this, it takes so much time and is so strenuous. Besides, the commissioner has his own work in the clinical room when the nurse schedule arranging.
In this study, the past literature is referred and genetic algorithm (GA) is used to find the solution, and bring out a new crossover method which is designed by my selves. In order to solve the nurse schedule problem for one day, the simulated data of reference case is used in experiment. From the results of experiments, the GA which is proposed in this study is able to get the best solution after 33 generations and convergence after 165 generations averagely. Every time the fitness value of the best solution from GA maintains good quality and stability.
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Liao, Yi-Chung, and 廖一仲. "Examining the Feasibility of Bidding Approach on the Nurse Scheduling Problem." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/61437287214971919091.
Full textAbstract:
碩士<br>中國文化大學<br>資訊管理學系<br>100<br>Findings of current management literature reveal that work schedule is regarded as one of the key determinants on work efficiency and job satisfaction, which then makes the design of work schedule recognized as one important research issue. Meanwhile, it is also highlighted that concerns on decision power shift and perceptions of employees may make the quality of scheduling hard to be improved. However, it is surprisingly found that most studies on work schedule design are mainly based on rational, objective, and global optimized principals; less is paid on evaluation of personal judgment, which then results in a potential gap between current research focus and practical needs.
To bridge the research gap mentioned above, this study adopts the bidding approach in the context of nurse work scheduling, in order to examine whether user participated approach may help lead to better job satisfaction. According to our experiments, it is found that the bidding approach may be feasible and helpful in improving the quality of nurse scheduling, with less time spent by the management in the meantime.
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Zhao-RuLin and 林釗如. "Solving nurse scheduling problem with continuity of care in intensive care unit." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/50824063781840655425.
Full textAbstract:
碩士<br>國立成功大學<br>工業與資訊管理學系<br>104<br>Personnel scheduling is an important issue for many 24hour industries, and nurse scheduling is one of the classic case. In practice, nurse scheduling in intensive care take laws, scheduling related rules, nurse preferences, and patient condition into account. But many studies don’t consider patient condition. A nurse schedule that considers daily patient condition could not only improve the efficiency of handoffs-the transfer of patients from the care of one nurse to another but also the medical care quality. This study proposes a two-stage solving process that takes daily patient condition into consideration. Our goal is to satisfy as many soft constraints as possible by constructing 0-1 goal programming mathematical models. Two month cases in a particular intensive care unit are used as an example to make comparisons between the proposed approach and the existing manual solution.