Relevant bibliographies by topics / Nurse scheduling

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  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: 26 July 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 sc
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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 sc
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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 P
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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 resu
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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
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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
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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 war
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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
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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 ident
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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 ina
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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 pr
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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 simulati
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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
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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
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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 e
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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 o
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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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