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    간호사 니즈형 근무 편성 자동화 시스템을 위한 간호사 스캐쥴링 최적화 모델 연구

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    Today, with the development of information technology, hospitals are actively researching hospital information systems that are not limited by time and space to integrate mobile computing technology into the medical field to manage the bulk data of medical information. Nevertheless, most hospitals still spend a lot of time and effort creating manual schedules.
    In this paper, we studied an optimization model for organizing nurses shift work and constructed an automated nurse-type job organization system. For nurses working in S hospital, information data, requirements and constraints of nurses were constructed. By applying this, we proposed an optimized scheduling method and built a web-based platform used by head nurses and a mobile app platform used by general nurses to enable real-time interchange and sharing around web servers.
    Therefore, through the developed nurse needs type automated system, the head nurses will increase the convenience of the nurses to organize the work every month, and general nurses will help them to work more accurately through personal schedule management. It is also expected to increase work efficiency by sharing work schedules among nurses.
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    Today, with the development of information technology, hospitals are actively researching hospital information systems that are not limited by time and space to integrate mobile computing technology into the medical field to manage the bulk data of me...

    Today, with the development of information technology, hospitals are actively researching hospital information systems that are not limited by time and space to integrate mobile computing technology into the medical field to manage the bulk data of medical information. Nevertheless, most hospitals still spend a lot of time and effort creating manual schedules.
    In this paper, we studied an optimization model for organizing nurses shift work and constructed an automated nurse-type job organization system. For nurses working in S hospital, information data, requirements and constraints of nurses were constructed. By applying this, we proposed an optimized scheduling method and built a web-based platform used by head nurses and a mobile app platform used by general nurses to enable real-time interchange and sharing around web servers.
    Therefore, through the developed nurse needs type automated system, the head nurses will increase the convenience of the nurses to organize the work every month, and general nurses will help them to work more accurately through personal schedule management. It is also expected to increase work efficiency by sharing work schedules among nurses.

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    참고문헌 (Reference)

    1 전우람, "효율적인 근사 알고리즘을 이용한 간호사 스케줄 문제에 대한 연구" 한국정보기술학회 14 (14): 159-166, 2016

    2 L. Hakim, "The nurse scheduling problem: a goal programming and nonlinear optimization approaches" 166 : 012-024, 2017

    3 Antoine Legrain, "The nurse scheduling problem in real-life" 2015

    4 Lee Gyeseong, "Nurse Scheduling includes preference" 599-602, 2004

    5 Komgrit Leksakul, "Nurse Scheduling Using Genetic Algorithm" Hindawi Publishing Corporation 2014 : 246543-, 2014

    6 Mafawez Alharbi, "Nurse Scheduling Model in Saudi Arabia Hospitals1" (2) : 103-109, 2018

    7 Song mi-young, "Development of Nurse Scheduling Management Prototype" 16 (16): 22-29, 2018

    8 Sun-Jeong Kim, "An indirect genetic algorithm for a nurse-scheduling problem" 31 (31): 761-778, 2004

    9 Broos Maenhout, "An electromagnetic meta-heuristic for the nurse scheduling problem" 13 (13): 359-385, 2007

    10 Sun-Jeong Kim, "An Efficient Method for Nurse Scheduling Problem using the Genetic Algorithm" Hallym University

    1 전우람, "효율적인 근사 알고리즘을 이용한 간호사 스케줄 문제에 대한 연구" 한국정보기술학회 14 (14): 159-166, 2016

    2 L. Hakim, "The nurse scheduling problem: a goal programming and nonlinear optimization approaches" 166 : 012-024, 2017

    3 Antoine Legrain, "The nurse scheduling problem in real-life" 2015

    4 Lee Gyeseong, "Nurse Scheduling includes preference" 599-602, 2004

    5 Komgrit Leksakul, "Nurse Scheduling Using Genetic Algorithm" Hindawi Publishing Corporation 2014 : 246543-, 2014

    6 Mafawez Alharbi, "Nurse Scheduling Model in Saudi Arabia Hospitals1" (2) : 103-109, 2018

    7 Song mi-young, "Development of Nurse Scheduling Management Prototype" 16 (16): 22-29, 2018

    8 Sun-Jeong Kim, "An indirect genetic algorithm for a nurse-scheduling problem" 31 (31): 761-778, 2004

    9 Broos Maenhout, "An electromagnetic meta-heuristic for the nurse scheduling problem" 13 (13): 359-385, 2007

    10 Sun-Jeong Kim, "An Efficient Method for Nurse Scheduling Problem using the Genetic Algorithm" Hallym University

    11 Chang-Chun Tsai, "A two-stage modeling with genetic algorithms for the nurse scheduling problem" 36 (36): 9506-9512, 2009

    12 Ahmed Ali El Adoly, "A new formulation and solution for the nurse scheduling problem" 57 : 2289-2298, 2018

    13 B.Satheesh Kumar, "A Shift Sequence for Nurse Scheduling Using Linear Programming Problem" 3 (3): 24-28, 2014

    14 Jingpeng Li, "A Bayesian Optimization Algorithm for the Nurse Scheduling Problem" IEEE Press 2149-2156, 2003

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    학술지 이력

    학술지 이력
    연월일 이력구분 이력상세 등재구분
    2026 평가 재인증평가 신청대상 (재인증)
    2020-01-01 등재 등재학술지 유지 (재인증) KCI등재
    2017-01-01 등재 등재학술지 유지 (계속평가) KCI등재
    2013-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2010-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2007-01-01 등재 등재학술지 선정 (등재후보2차) KCI등재
    2006-01-01 등재 등재후보 1차 PASS (등재후보1차) KCI등재후보
    2004-07-01 등재 등재후보학술지 선정 (신규평가) KCI등재후보
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    학술지 인용정보

    학술지 인용정보
    기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
    2016 0.44 0.44 0.44
    KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
    0.43 0.38 0.58 0.15
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