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An integrated staff-sizing approach considering feasibility of scheduling decision

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  • Yongjian Li
  • Jian Chen
  • Xiaoqiang Cai

Abstract

This paper presents an integrated staff-sizing system for analyzing and determining workforce management policies with consideration of staff flexibility in service organizations, which addresses and captures the integrated requirements between long-term manpower planning and short-term staff scheduling in the service sector. Multiple Objective Linear Programming (MOLP) is applied to optimize several diversified goals. Solution methods to the MOLP models for the staff planning and staff scheduling are developed respectively, then a solution approach is proposed to iteratively revise the unacceptable staff-sizing plan or scheduling plan. Finally, an example of nurse sizing is analyzed and computational studies are carried out to investigate managerial insights. Copyright Springer Science+Business Media, LLC 2007

Suggested Citation

  • Yongjian Li & Jian Chen & Xiaoqiang Cai, 2007. "An integrated staff-sizing approach considering feasibility of scheduling decision," Annals of Operations Research, Springer, vol. 155(1), pages 361-390, November.
    • Handle: RePEc:spr:annopr:v:155:y:2007:i:1:p:361-390:10.1007/s10479-007-0215-z
    DOI: 10.1007/s10479-007-0215-z
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    10. Cardoso-Grilo, Teresa & Monteiro, Marta & Oliveira, Mónica Duarte & Amorim-Lopes, Mário & Barbosa-Póvoa, Ana, 2019. "From problem structuring to optimization: A multi-methodological framework to assist the planning of medical training," European Journal of Operational Research, Elsevier, vol. 273(2), pages 662-683.
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