2.50
Hdl Handle:
http://hdl.handle.net/10755/151114
Type:
Presentation
Title:
The Application of Goal Programming Approach in the Nurse Scheduling Problem
Abstract:
The Application of Goal Programming Approach in the Nurse Scheduling Problem
Conference Sponsor:Sigma Theta Tau International
Conference Year:2007
Author:Yang, Ta-Hui, PhD
P.I. Institution Name:National Chiayi University
Title:Associate Professor
Co-Authors:Tong-Fang Ni, RN, MSN; Ya-Fen Wang, RN, MSN and Yueh-E Lin, RN, BSN
[Evidence-based Presentation] This study proposed a systematic framework to solve the nurse rostering problem based on Taiwan nursing system. The effective allocation of the nurse workforce is always an important issue for hospitals. However, most of hospitals in Taiwan schedule their nurse workforce according to the staffs' experiences, which is time-consuming and difficult to maintain a consistent quality of workforce schedule. This study applied the goal programming approach to construct a three-phase nurse scheduling model. The model considers the 24-hour three-shift working system with the aid of the floating shift and also takes the individual preferences into account. A case study based the real data from a hospital in Taiwan is used to test the performance of the proposed model. The sensitivity analysis was also performed to ensure the stability and effectiveness of the model. The results were compared with the real schedules in practice. The proposed model can improve the equitability for each member and maintain the consistency in quality of schedules.
Repository Posting Date:
26-Oct-2011
Date of Publication:
17-Oct-2011
Sponsors:
Sigma Theta Tau International

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titleThe Application of Goal Programming Approach in the Nurse Scheduling Problemen_GB
dc.identifier.urihttp://hdl.handle.net/10755/151114-
dc.description.abstract<table><tr><td colspan="2" class="item-title">The Application of Goal Programming Approach in the Nurse Scheduling Problem</td></tr><tr class="item-sponsor"><td class="label">Conference Sponsor:</td><td class="value">Sigma Theta Tau International</td></tr><tr class="item-year"><td class="label">Conference Year:</td><td class="value">2007</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Yang, Ta-Hui, PhD</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">National Chiayi University</td></tr><tr class="item-author-title"><td class="label">Title:</td><td class="value">Associate Professor</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">yangth@mail.ncyu.edu.tw</td></tr><tr class="item-co-authors"><td class="label">Co-Authors:</td><td class="value">Tong-Fang Ni, RN, MSN; Ya-Fen Wang, RN, MSN and Yueh-E Lin, RN, BSN</td></tr><tr><td colspan="2" class="item-abstract">[Evidence-based Presentation] This study proposed a systematic framework to solve the nurse rostering problem based on Taiwan nursing system. The effective allocation of the nurse workforce is always an important issue for hospitals. However, most of hospitals in Taiwan schedule their nurse workforce according to the staffs' experiences, which is time-consuming and difficult to maintain a consistent quality of workforce schedule. This study applied the goal programming approach to construct a three-phase nurse scheduling model. The model considers the 24-hour three-shift working system with the aid of the floating shift and also takes the individual preferences into account. A case study based the real data from a hospital in Taiwan is used to test the performance of the proposed model. The sensitivity analysis was also performed to ensure the stability and effectiveness of the model. The results were compared with the real schedules in practice. The proposed model can improve the equitability for each member and maintain the consistency in quality of schedules.</td></tr></table>en_GB
dc.date.available2011-10-26T10:52:18Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T10:52:18Z-
dc.description.sponsorshipSigma Theta Tau Internationalen_GB
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