Literature DB >> 25526704

The nurse scheduling problem in real-life.

Antoine Legrain1, Hocine Bouarab, Nadia Lahrichi.   

Abstract

The aim of this paper is to study the scheduling process for two types of nursing teams, regular teams from care units and the float team that covers for shortages in the hospital. When managers address this problem, they either use a manual approach or have to invest in expensive commercial tool. We propose a simple heuristic approach, flexible and easy enough to be implemented on spreadsheets, and requiring almost no investment. The approach leads to streamlined process and higher-quality schedules for nurses. The multi-objective model and heuristics are presented, and additional analysis is performed to compare the performance of the approach. We show that our approach compares very well with an optimization software (CPLEX solver) and may be implemented at no cost. It addresses the lack of choice between either manual solution method or a commercial package at a high cost.

Mesh:

Year:  2014        PMID: 25526704     DOI: 10.1007/s10916-014-0160-8

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  4 in total

1.  Hybrid optimization techniques for the workshift and rest assignment of nursing personnel.

Authors:  C Valouxis; E Housos
Journal:  Artif Intell Med       Date:  2000-10       Impact factor: 5.326

2.  A mathematical programming model for scheduling of nurses' labor shifts.

Authors:  Ebru Yilmaz
Journal:  J Med Syst       Date:  2010-04-27       Impact factor: 4.460

3.  Short-term nurse scheduling in response to daily fluctuations in supply and demand.

Authors:  Jonathan F Bard; Hadi W Purnomo
Journal:  Health Care Manag Sci       Date:  2005-11

4.  Hospital nursing costs, billing, and reimbursement.

Authors:  John M Welton; Mary Hughes Fischer; Sharon DeGrace; Laurie Zone-Smith
Journal:  Nurs Econ       Date:  2006 Sep-Oct       Impact factor: 1.085

  4 in total
  2 in total

1.  Creating Coherence-Based Nurse Planning in the Perinatology Care System.

Authors:  Windi Winasti; Sylvia G Elkhuizen; Frits van Merode; Hubert Berden
Journal:  Healthcare (Basel)       Date:  2022-05-17

2.  Research on Application of Meticulous Nursing Scheduling Management Based on Data-Driven Intelligent Optimization Technology.

Authors:  YanPing Zhai; Run Li; ZhiLi Yan
Journal:  Comput Intell Neurosci       Date:  2022-09-12
  2 in total

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