Solving an outpatient nurse scheduling problem by binary goal programming

Sheng Pen Wang, Yu Kuang Hsieh, Zheng Yun Zhuang, Nai Chia Ou

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

The cyclic scheduling for staffs in hospitals has been widely studied but none in the literature is about the nurse scheduling problem in the outpatient departments. Considering fairness and relevant constraints in scheduling outpatient nurses, this study formulates the nurse assignment problem as a binary goal programming model. An optimized and "fair" weekly schedule satisfying the stated hospital's policies and the outpatient nurses' preferences is solved. A "fair" schedule is in the sense that the number of due shifts and the shift patterns are assigned as same as possible for all the full-time nurses during the weekdays. A sensitivity analysis on the number of full-time nurses is also performed to answer the question about the best utilization in scheduling nurses. This study replaces the manual-made schedule with a computerized one and provides hospital managers insights in identifying the best human-resource portfolio in outpatient nurse scheduling.

Original languageEnglish
Pages (from-to)41-50
Number of pages10
JournalJournal of Industrial and Production Engineering
Volume31
Issue number1
DOIs
Publication statusPublished - 2014
Externally publishedYes

Fingerprint

Scheduling
Sensitivity analysis
Managers
Personnel

Keywords

  • Binary goal programming
  • Nurse scheduling
  • Outpatient department
  • Sensitivity analysis

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Control and Systems Engineering

Cite this

Solving an outpatient nurse scheduling problem by binary goal programming. / Wang, Sheng Pen; Hsieh, Yu Kuang; Zhuang, Zheng Yun; Ou, Nai Chia.

In: Journal of Industrial and Production Engineering, Vol. 31, No. 1, 2014, p. 41-50.

Research output: Contribution to journalArticle

Wang, Sheng Pen ; Hsieh, Yu Kuang ; Zhuang, Zheng Yun ; Ou, Nai Chia. / Solving an outpatient nurse scheduling problem by binary goal programming. In: Journal of Industrial and Production Engineering. 2014 ; Vol. 31, No. 1. pp. 41-50.
@article{59532760736a42d184d300839c5f14de,
title = "Solving an outpatient nurse scheduling problem by binary goal programming",
abstract = "The cyclic scheduling for staffs in hospitals has been widely studied but none in the literature is about the nurse scheduling problem in the outpatient departments. Considering fairness and relevant constraints in scheduling outpatient nurses, this study formulates the nurse assignment problem as a binary goal programming model. An optimized and {"}fair{"} weekly schedule satisfying the stated hospital's policies and the outpatient nurses' preferences is solved. A {"}fair{"} schedule is in the sense that the number of due shifts and the shift patterns are assigned as same as possible for all the full-time nurses during the weekdays. A sensitivity analysis on the number of full-time nurses is also performed to answer the question about the best utilization in scheduling nurses. This study replaces the manual-made schedule with a computerized one and provides hospital managers insights in identifying the best human-resource portfolio in outpatient nurse scheduling.",
keywords = "Binary goal programming, Nurse scheduling, Outpatient department, Sensitivity analysis",
author = "Wang, {Sheng Pen} and Hsieh, {Yu Kuang} and Zhuang, {Zheng Yun} and Ou, {Nai Chia}",
year = "2014",
doi = "10.1080/21681015.2014.881425",
language = "English",
volume = "31",
pages = "41--50",
journal = "Journal of Industrial and Production Engineering",
issn = "2168-1015",
publisher = "Taylor and Francis Ltd.",
number = "1",

}

TY - JOUR

T1 - Solving an outpatient nurse scheduling problem by binary goal programming

AU - Wang, Sheng Pen

AU - Hsieh, Yu Kuang

AU - Zhuang, Zheng Yun

AU - Ou, Nai Chia

PY - 2014

Y1 - 2014

N2 - The cyclic scheduling for staffs in hospitals has been widely studied but none in the literature is about the nurse scheduling problem in the outpatient departments. Considering fairness and relevant constraints in scheduling outpatient nurses, this study formulates the nurse assignment problem as a binary goal programming model. An optimized and "fair" weekly schedule satisfying the stated hospital's policies and the outpatient nurses' preferences is solved. A "fair" schedule is in the sense that the number of due shifts and the shift patterns are assigned as same as possible for all the full-time nurses during the weekdays. A sensitivity analysis on the number of full-time nurses is also performed to answer the question about the best utilization in scheduling nurses. This study replaces the manual-made schedule with a computerized one and provides hospital managers insights in identifying the best human-resource portfolio in outpatient nurse scheduling.

AB - The cyclic scheduling for staffs in hospitals has been widely studied but none in the literature is about the nurse scheduling problem in the outpatient departments. Considering fairness and relevant constraints in scheduling outpatient nurses, this study formulates the nurse assignment problem as a binary goal programming model. An optimized and "fair" weekly schedule satisfying the stated hospital's policies and the outpatient nurses' preferences is solved. A "fair" schedule is in the sense that the number of due shifts and the shift patterns are assigned as same as possible for all the full-time nurses during the weekdays. A sensitivity analysis on the number of full-time nurses is also performed to answer the question about the best utilization in scheduling nurses. This study replaces the manual-made schedule with a computerized one and provides hospital managers insights in identifying the best human-resource portfolio in outpatient nurse scheduling.

KW - Binary goal programming

KW - Nurse scheduling

KW - Outpatient department

KW - Sensitivity analysis

UR - http://www.scopus.com/inward/record.url?scp=84897804502&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84897804502&partnerID=8YFLogxK

U2 - 10.1080/21681015.2014.881425

DO - 10.1080/21681015.2014.881425

M3 - Article

AN - SCOPUS:84897804502

VL - 31

SP - 41

EP - 50

JO - Journal of Industrial and Production Engineering

JF - Journal of Industrial and Production Engineering

SN - 2168-1015

IS - 1

ER -