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Optimal recruitment of temporary and permanent healthcare workers in highly uncertain environments: A long-term scenario
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DOI：10.1016/j.ejor.2026.08.017.png)
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Abstract
En 中文
• Two Markov decision models for long-term healthcare workforce planning. • Optimal policy recruits permanent staff up to a state-dependent target level. • Caps on temporary staffing spend can raise long-term total costs. • Value of staged hiring depends on demand-rate uncertainty and labour-market tightness. • Hospital case study shows demand-rate uncertainty drives total cost savings.
Keywords:
Long-term blended workforce recruitment
Queueing
Markov decision process
Demand and supply uncertainty
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6
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2.2W
Citations:
6.4W
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