Relevant bibliographies by topics / Nurse scheduling

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Nurse scheduling'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 June 2025

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Journal articles on the topic "Nurse scheduling"

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Utina, Fitriani, Lailany Yahya, and Nurwan Nurwan. "Nonpreemptive Goal Programing Method in Optimization Nurse Scheduling by Considering Education Level." Jurnal ILMU DASAR 22, no. 2 (2021): 85. http://dx.doi.org/10.19184/jid.v22i2.16939.

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Nurse scheduling is one of the problems that often arise in hospital management systems. Head of ICU room and nurse to cooperate in making good nurse scheduling for the creation of optimal service. In this paper, we study a hospital nurse schedule design by considering the level of nurse education and the provision of holidays. Nurses with undergraduate education (S1) Nurses become leaders on every shift and are accompanied by nurses with diploma education (D3). The scheduling model in this study using the nonpreemptive goal programming method and LINGO 11.0 software. The preparation of the schedule of nurses assigned to this method can optimize the need for efficient nurses per shift based on education level. The data in the research was obtained by collecting administrative data at Aloei Saboe Gorontalo hospital. The data used are the published schedule by the head of the ICU room. In making a nurse schedule, there are limitations to consider such ashospital regulation. The results of the study obtained an optimal solution in the form of meeting all the desired obstacles. Computational results shows that nurse scheduling using the nonpreemptive goal programming method and LINGO 11.0 software better than the schedule created manually. Every shift is a maximum of one leader with an undergraduate education (S1) background and accompanied by a nurse with a diploma education (D3) background. Keywords: scheduling, goal programming, nonpreemptive goal programming.
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Leksakul, Komgrit, and Sukrit Phetsawat. "Nurse Scheduling Using Genetic Algorithm." Mathematical Problems in Engineering 2014 (2014): 1–16. http://dx.doi.org/10.1155/2014/246543.

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This study applied engineering techniques to develop a nurse scheduling model that, while maintaining the highest level of service, simultaneously minimized hospital-staffing costs and equitably distributed overtime pay. In the mathematical model, the objective function was the sum of the overtime payment to all nurses and the standard deviation of the total overtime payment that each nurse received. Input data distributions were analyzed in order to formulate a simulation model to determine the optimal demand for nurses that met the hospital’s service standards. To obtain the optimal nurse schedule with the number of nurses acquired from the simulation model, we proposed a genetic algorithm (GA) with two-point crossover and random mutation. After running the algorithm, we compared the expenses and number of nurses between the existing and our proposed nurse schedules. For January 2013, the nurse schedule obtained by GA could save 12% in staffing expenses per month and 13% in number of nurses when compare with the existing schedule, while more equitably distributing overtime pay between all nurses.
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Rizany, Ichsan, RR Tutik Sri Hariyati, and Efi Afiyanti. "Penjadwalan Dinas terhadap Kepuasan Perawat di Rumah Sakit Y Jakarta." Dunia Keperawatan: Jurnal Keperawatan dan Kesehatan 8, no. 2 (2020): 320. http://dx.doi.org/10.20527/dk.v8i2.8875.

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Nurse satisfaction in hospitals in Indonesia was still low. The low level of nurse discharge was influenced by a number of factors. The purpose of this study was to determine the relationship between nursing scheduling and patient satisfaction at Y Hospital Jakarta. The method used in this study was cross-sectional. The number of samples was 32 nurses (n = 32) through a stratified random sampling technique. The study was conducted at Y Hospital Jakarta. Inclusion criteria included implementing nurses who worked at least 1 year and were willing to become respondents. Data were analyzed by the Pearson correlation test. The results showed that the average patient satisfaction was 73, while the nurse's scheduling was 90.29. These results indicated that nurse satisfaction was still below the minimum service standard (SPM). This result also showed that there was a significant relationship between nursing scheduling and nurse satisfaction (p = 0.040; r = 0.349). The conclusion of this study was that there was a significant relationship between nursing scheduling and nurse satisfaction at Y Hospital. Recommendations were given to hospital managers to improve nurse satisfaction by managing to nurse scheduling properly
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Suppiah, Yasothei. "An Integer Programming Model for a Nurse Scheduling Problem." International Journal of Membrane Science and Technology 10, no. 2 (2023): 1180–85. http://dx.doi.org/10.15379/ijmst.vi.1401.

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This paper addresses a nurse scheduling problem that is present in a hospital. In order to accommodate the rising cost of sustaining and maintaining the hospital, there is a demand to analyse the manpower scheduling problem by not compromising the needs of the patients. Therefore, this study aims to apply a mathematical method to find the optimal number of nurses to be assigned for duties each day and shift in a hospital. An integer linear programming model is developed to represent the nurse scheduling problem. The mathematical model is solved by using the QM for windows software and the results provides an optimal solution to the nurse scheduling problem.
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Rerkjirattikal, Pavinee, Van-Nam Huynh, Sun Olapiriyakul, and Thepchai Supnithi. "A Goal Programming Approach to Nurse Scheduling with Individual Preference Satisfaction." Mathematical Problems in Engineering 2020 (November 22, 2020): 1–11. http://dx.doi.org/10.1155/2020/2379091.

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The use of scheduling optimization tools is essential in creating an efficient nurse shift-rotation schedule. A well-designed nurse scheduling technique can improve nurses’ job satisfaction and their intention to stay. This study develops a goal programming approach to nurse scheduling that simultaneously considers workload fairness and individual preferences on working shift and day off assignments. A case study of an operating room at a hospital in Thailand is used to illustrate the model capabilities for solving an actual nurse scheduling problem. The job satisfaction factors defined based on an interview and questionnaire survey are integrated into the model. When compared against the manual scheduling result, the optimal schedules can be implemented to improve the nurse’s perception of fairness and preference satisfaction. The analysis of fairness and multiple individual preferences based on a case study investigation is the main contribution of this study.
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Zunaedi, Rosly, Soenarnatalina Melaniani, and Ahsan Ahsan. "Assessment of The Characteristics of Nurse Scheduling in Hospital Ward." STRADA Jurnal Ilmiah Kesehatan 9, no. 2 (2020): 1755–62. http://dx.doi.org/10.30994/sjik.v9i2.528.

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Good scheduling arrangements are needed to prevent physical, emotional, and psychological exhaustion in nurses which will harm their performance. The aim is to see an assessment of the characteristics of nurse work scheduling in the hospital ward. This study used a descriptive survey design. The population in this study were all nurses in the ward of Lavalette Hospital - Malang. The sampling technique used was simple random sampling. Data collection using a scheduling characteristic questionnaire. Most of the respondents considered that the work scheduling criteria currently applied in the ward were in the sufficient category (80.2%). There are sub-variable coverage (309) and quality (321) less than the average value (322.08). The problems that arise in the nurse scheduling in the ward of Lavalette Hospital - Malang are the suitability of amount and distribution of nurses, quality of the schedule, an exchange between nurses, and time to prepare the schedule.
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Samosir, Larry Ronaldo, and Faiz Ahyaningsih. "Application of the Goal Programming Method in Nurse Scheduling at RSUD Dr. Hadrianus Sinaga Pangururan." Indonesian Journal of Advanced Research 2, no. 7 (2023): 965–82. http://dx.doi.org/10.55927/ijar.v2i7.4898.

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The purpose of this study was to establish an effective and optimal nurse schedule at the Regional General Hospital dr. Hadrianus sinaga Pangururan. RSUD dr.Hadrianus Sinaga Pangururan is still scheduling nurses manually with a total of 20 nurses and has three work shifts namely morning, afternoon and evening. As a result of manual scheduling, it takes quite a long time and is less efficient due to imbalances in the distribution of shifts. The method used to solve nurse scheduling problems is Goal Programming. Goal Programming is the development of linear programs that are used to solve linear programming problems with multiple objective functions. In modeling this scheduling problem, there are two systems of constraints that must be met, namely the main constraints and additional constraints. The main obstacle is hospital rules that must be complied with while additional obstacles are hospital rules that are still given tolerance for violations. In modeling the nurse scheduling problem, each problem is converted into a mathematical model and the completion of the goal programming model is assisted by LINGO software. From the LINGO output, the results show that nurse scheduling using goal programming meets all system constraints, while the hospital's manual schedule does not meet system constraints.
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Hung, Rudy. "Hospital Nurse Scheduling." JONA: The Journal of Nursing Administration 25, no. 7 (1995): 21–23. http://dx.doi.org/10.1097/00005110-199507000-00010.

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Rosenbloom, E. S., and N. F. Goertzen. "Cyclic nurse scheduling." European Journal of Operational Research 31, no. 1 (1987): 19–23. http://dx.doi.org/10.1016/0377-2217(87)90131-7.

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Hesaraki, Alireza F., Nico P. Dellaert, and Ton de Kok. "Integrating nurse assignment in outpatient chemotherapy appointment scheduling." OR Spectrum 42, no. 4 (2020): 935–63. http://dx.doi.org/10.1007/s00291-020-00596-8.

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Abstract In outpatient chemotherapy, nurses administer the drugs in two steps. In the first few minutes of each appointment, a nurse prepares the patient for infusion (drug administration). During the remainder of the appointment, the patient is monitored by nurses and if needed taken care of. One nurse must be assigned to prepare the patient and set up the infusion device. However, a nurse who is not busy setting up may simultaneously monitor up to a certain number of patients who are already receiving infusion. The prescribed infusion durations are significantly different among the patients on a day at a clinic. We formulate this problem as a multi-criterion mixed integer program. The appointments should be scheduled with start times close to patients’ ready times, balanced workload among nurses, few nurse changes during appointments, and few nurse full-time equivalent (FTE) assigned to the schedule of the day. As the number of nurse FTEs is an output of the model rather than a fixed input, the clinic can use the nursing capacity more efficiently, i.e., with less labor cost. We develop a 3-stage heuristic for finding criterion points with the minimum weighted average deferring time of appointments for the minimum feasible number of nurse FTEs or a desired value above that. By not constraining the number of chairs or beds, we can find solutions with better (dominating) criterion points. Drug preparation, oncologist visit, and the laboratory test can be scheduled based on the drug administration appointment start time. Thus, the drug administration resources are efficiently used with desirable performance in taking the interests and requirements of various stakeholders into consideration: patients, nurses, oncologists, pharmacy, and the clinic.
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Dissertations / Theses on the topic "Nurse scheduling"

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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. Healthcare’s 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 work–life 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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Books on the topic "Nurse scheduling"

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International, Sigma Theta Tau, ed. The nurse manager's guide to innovative staffing. Sigma Theta Tau International, 2012.

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Indian Institute of Management, Bangalore., ed. A scheduling model incorporating information on daily availability of personnel. Indian Institute of Management Bangalore, 2007.

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Indian Institute of Management, Bangalore., ed. A scheduling model incorporating information on daily availability of personnel. Indian Institute of Management Bangalore, 2007.

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Wiskow, Christiane. Workload measurement in determining staffing levels: A literature review. ICN, 2004.

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Association, American Nurses', ed. Implementing nursing's report card: A study of RN staffing, length of stay, and patient outcomes. American Nurses Pub., 1997.

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Ozkarahan, Irem. A FLEXIBLE NURSE SCHEDULING SUPPORT SYSTEM. 1987.

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(Compiler), Rita Munley Gallagher, and Katherine A. Kany (Compiler), eds. Principles for Nurse Staffing: With Annotated Bibliography. American Nurses Association, 1999.

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Nurse Staffing and Patient Outcomes: In the Inpatient Hospital Setting. American Nurses Association, 2000.

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Series, AONE, and AONE Management Series. Staffing Management and Methods: Tools and Techniques for Nurse Leaders. Jossey-Bass, 2000.

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Planners, Pretty Healthy. Nurses Give the Best Hugs: A 12-Month Daily Organizer & Scheduling Agenda with Calendars, Notes, Journaling, and More. Independently Published, 2019.

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Book chapters on the topic "Nurse scheduling"

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Lim, Gino J., Arezou Mobasher, Laleh Kardar, and Murray J. Cote. "Nurse Scheduling." In Handbook of Healthcare System Scheduling. Springer US, 2011. http://dx.doi.org/10.1007/978-1-4614-1734-7_3.

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Li, Jingpeng, and Uwe Aickelin. "BOA for Nurse Scheduling." In Scalable Optimization via Probabilistic Modeling. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-34954-9_14.

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Yin, Peng-Yeng, Chih-Chiang Chao, and Ya-Tzu Chiang. "Multiobjective Optimization for Nurse Scheduling." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21524-7_9.

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Dodaro, Carmine, and Marco Maratea. "Nurse Scheduling via Answer Set Programming." In Logic Programming and Nonmonotonic Reasoning. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61660-5_27.

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Tamiz, Mehrdad, and Mohammed Ali Yaghoobi. "Nurse Scheduling by Fuzzy Goal Programming." In Lecture Notes in Economics and Mathematical Systems. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-10354-4_11.

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Sarkar, Paramita, Rituparna Chaki, and Ditipriya Sinha. "A Heuristic Framework for Priority Based Nurse Scheduling." In Advances in Intelligent Systems and Computing. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3409-1_1.

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Jan, Ahmad, Masahito Yamamoto, and Azuma Ohuchi. "Search Algorithms for Nurse Scheduling with Genetic Algorithms." In Operations Research/Management Science at Work. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0819-9_9.

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Shi, Peng, and Dario Landa-Silva. "Dynamic Programming with Approximation Function for Nurse Scheduling." In Lecture Notes in Computer Science. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-51469-7_23.

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Seckiner, Serap Ulusam. "A Novel Approach for the Nurse Scheduling Problem." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-87477-5_33.

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Turgut, Yakup, and Zikriye Melisa Erdogan. "Metaheuristic Hybridization: A Case Study for Nurse Scheduling." In Lecture Notes in Management and Industrial Engineering. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76724-2_29.

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Conference papers on the topic "Nurse scheduling"

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Aibin, Michal, F. Chen, M. Menzi, et al. "Federated Learning Framework for Nurse Scheduling to Lower Fatigue Levels of Nurses." In 2025 International Conference on Computing, Networking and Communications (ICNC). IEEE, 2025. https://doi.org/10.1109/icnc64010.2025.10993959.

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Atoyebi, Kehinde Segun, Adebayo Abayomi-Alli, Dauda Wisdom Daniel, Morolake Oladayo Lawrence, Orobosade Adewunmi Alabi, and Bayo Olushola Omoyiola. "Enhancing Nurse Scheduling with User Preferences: Hybrid Genetic Algorithm and Variable Neighbourhood Search Approach." In 2024 IEEE 5th International Conference on Electro-Computing Technologies for Humanity (NIGERCON). IEEE, 2024. https://doi.org/10.1109/nigercon62786.2024.10926960.

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Huang, Li, Yang Xu, and Po-Chou Shih. "Research on Nurse Scheduling Considering Fairness Preference and Fatigue Risk under Hierarchical Management System." In 2024 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2024. https://doi.org/10.1109/ieem62345.2024.10857014.

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Huang, Li. "Optimization of Multi-Level Nurse Scheduling: A Biorhythm-Based Fatigue Model Integrated with PFMEA for Enhancing Service Reliability." In 2024 Global Reliability and Prognostics and Health Management Conference (PHM-Beijing). IEEE, 2024. https://doi.org/10.1109/phm-beijing63284.2024.10874582.

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Awadallah, Mohammed A., Ahamad Tajudin Khader, Mohammed Azmi Al-Betar, and Asaju La'aro Bolaji. "Hybrid Harmony Search for Nurse Rostering Problems." In 2013 IEEE Symposium on Computational Intelligence in Scheduling (CISched). IEEE, 2013. http://dx.doi.org/10.1109/scis.2013.6613253.

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Ohki, Makoto. "A parameter free nurse scheduling." In 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2015. http://dx.doi.org/10.1109/fuzz-ieee.2015.7337897.

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Awadallah, Mohammed A., Ahamad Tajudin Khader, Mohammed Azmi Al-Betar, and Asaju La'aro Bolaji. "Nurse Scheduling Using Harmony Search." In 2011 Sixth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA). IEEE, 2011. http://dx.doi.org/10.1109/bic-ta.2011.75.

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Makboul, Salma, Abderrahman Abbassi, Adnane El Hilali Alaoui, and Said Kharraja. "The Robust Nurse Scheduling Problem." In 2020 5th International Conference on Logistics Operations Management (GOL). IEEE, 2020. http://dx.doi.org/10.1109/gol49479.2020.9314749.

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Guo, Hainan, Jiafu Tang, and Gang Qu. "Historical data-driven nurse flexible scheduling problem." In 2013 25th Chinese Control and Decision Conference (CCDC). IEEE, 2013. http://dx.doi.org/10.1109/ccdc.2013.6561121.

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Zen-El-Din, Wisam K., Mohamed S. A. Kamel, and Abdalla S. A. Mohamed. "A binary integer programming for nurse scheduling." In 2012 Cairo International Biomedical Engineering Conference (CIBEC). IEEE, 2012. http://dx.doi.org/10.1109/cibec.2012.6473301.

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