Please use this identifier to cite or link to this item:
Title: Workforce modelling, analysis and planning : a feasibility study in a local nursing home
Authors: Leung, PL
Wu, CH
Ip, WH 
Mou, WL
Keywords: Modelling
Nursing home
Workforce planning
Staffing optimization
Issue Date: 2015
Publisher: Institute of Electrical and Electronics Engineers
Source: 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Singapore, 6-9 Dec 2015, p.1337-1341 How to cite?
Abstract: Hong Kong is becoming an ageing society. The growth in the demand of residential care places, together with the increasing complexities of illnesses and varieties of procedures, result in heavy workloads and pressures of local nursing staff. In particular, nursing homes are experiencing high nursing staff turnover and continual manpower shortage. Despite the increasing demand from academic, commercial and political aspects for better healthcare resources allocation, studies conducted on nursing homes' workforce planning are limited. Also, existing studies seldom formulate the nursing workforce planning problem or propose feasible models for practical usage. In this paper, an optimization-based nursing workforce planning model is proposed for enhancing the service capacity of local nursing homes. In order to show the feasibility, a simplified model has been solved by Excel Solver while the proposed model will be solved by other algorithms in the near-future.
ISBN: 978-1-4673-8066-9 (electronic)
978-1-4673-8065-2 (USB)
DOI: 10.1109/IEEM.2015.7385865
Appears in Collections:Conference Paper

View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

Last Week
Last month
Citations as of Apr 15, 2019

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.