Modelling a nurse shift schedule with multiple preference ranks for shifts and days-off

Chun Cheng Lin, Jia Rong Kang, Wan Yu Liu, Der-Jiunn Deng

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

When it comes to nurse shift schedules, it is found that the nursing staff have diverse preferences about shift rotations and days-off. The previous studies only focused on the most preferred work shift and the number of satisfactory days-off of the schedule at the current schedule period but had few discussions on the previous schedule periods and other preference levels for shifts and days-off, which may affect fairness of shift schedules. As a result, this paper proposes a nurse scheduling model based upon integer programming that takes into account constraints of the schedule, different preference ranks towards each shift, and the historical data of previous schedule periods to maximize the satisfaction of all the nursing staff's preferences about the shift schedule. The main contribution of the proposed model is that we consider that the nursing staff's satisfaction level is affected by multiple preference ranks and their priority ordering to be scheduled, so that the quality of the generated shift schedule is more reasonable. Numerical results show that the planned shifts and days-off are fair and successfully meet the preferences of all the nursing staff.

Original languageEnglish
Article number937842
JournalMathematical Problems in Engineering
Volume2014
DOIs
Publication statusPublished - 2014 Jan 1

Fingerprint

Nursing
Schedule
Modeling
Integer programming
Scheduling
Historical Data
Integer Programming
Fairness
Maximise
Model-based
Numerical Results

All Science Journal Classification (ASJC) codes

  • Mathematics(all)
  • Engineering(all)

Cite this

@article{110d74d97d3a402480589ee9f537d647,
title = "Modelling a nurse shift schedule with multiple preference ranks for shifts and days-off",
abstract = "When it comes to nurse shift schedules, it is found that the nursing staff have diverse preferences about shift rotations and days-off. The previous studies only focused on the most preferred work shift and the number of satisfactory days-off of the schedule at the current schedule period but had few discussions on the previous schedule periods and other preference levels for shifts and days-off, which may affect fairness of shift schedules. As a result, this paper proposes a nurse scheduling model based upon integer programming that takes into account constraints of the schedule, different preference ranks towards each shift, and the historical data of previous schedule periods to maximize the satisfaction of all the nursing staff's preferences about the shift schedule. The main contribution of the proposed model is that we consider that the nursing staff's satisfaction level is affected by multiple preference ranks and their priority ordering to be scheduled, so that the quality of the generated shift schedule is more reasonable. Numerical results show that the planned shifts and days-off are fair and successfully meet the preferences of all the nursing staff.",
author = "Lin, {Chun Cheng} and Kang, {Jia Rong} and Liu, {Wan Yu} and Der-Jiunn Deng",
year = "2014",
month = "1",
day = "1",
doi = "10.1155/2014/937842",
language = "English",
volume = "2014",
journal = "Mathematical Problems in Engineering",
issn = "1024-123X",
publisher = "Hindawi Publishing Corporation",

}

Modelling a nurse shift schedule with multiple preference ranks for shifts and days-off. / Lin, Chun Cheng; Kang, Jia Rong; Liu, Wan Yu; Deng, Der-Jiunn.

In: Mathematical Problems in Engineering, Vol. 2014, 937842, 01.01.2014.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Modelling a nurse shift schedule with multiple preference ranks for shifts and days-off

AU - Lin, Chun Cheng

AU - Kang, Jia Rong

AU - Liu, Wan Yu

AU - Deng, Der-Jiunn

PY - 2014/1/1

Y1 - 2014/1/1

N2 - When it comes to nurse shift schedules, it is found that the nursing staff have diverse preferences about shift rotations and days-off. The previous studies only focused on the most preferred work shift and the number of satisfactory days-off of the schedule at the current schedule period but had few discussions on the previous schedule periods and other preference levels for shifts and days-off, which may affect fairness of shift schedules. As a result, this paper proposes a nurse scheduling model based upon integer programming that takes into account constraints of the schedule, different preference ranks towards each shift, and the historical data of previous schedule periods to maximize the satisfaction of all the nursing staff's preferences about the shift schedule. The main contribution of the proposed model is that we consider that the nursing staff's satisfaction level is affected by multiple preference ranks and their priority ordering to be scheduled, so that the quality of the generated shift schedule is more reasonable. Numerical results show that the planned shifts and days-off are fair and successfully meet the preferences of all the nursing staff.

AB - When it comes to nurse shift schedules, it is found that the nursing staff have diverse preferences about shift rotations and days-off. The previous studies only focused on the most preferred work shift and the number of satisfactory days-off of the schedule at the current schedule period but had few discussions on the previous schedule periods and other preference levels for shifts and days-off, which may affect fairness of shift schedules. As a result, this paper proposes a nurse scheduling model based upon integer programming that takes into account constraints of the schedule, different preference ranks towards each shift, and the historical data of previous schedule periods to maximize the satisfaction of all the nursing staff's preferences about the shift schedule. The main contribution of the proposed model is that we consider that the nursing staff's satisfaction level is affected by multiple preference ranks and their priority ordering to be scheduled, so that the quality of the generated shift schedule is more reasonable. Numerical results show that the planned shifts and days-off are fair and successfully meet the preferences of all the nursing staff.

UR - http://www.scopus.com/inward/record.url?scp=84899477680&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84899477680&partnerID=8YFLogxK

U2 - 10.1155/2014/937842

DO - 10.1155/2014/937842

M3 - Article

AN - SCOPUS:84899477680

VL - 2014

JO - Mathematical Problems in Engineering

JF - Mathematical Problems in Engineering

SN - 1024-123X

M1 - 937842

ER -