Setting staffing requirements for time dependent queueing networks: the case of accident and emergency departments

DOI10.1016/j.ejor.2011.10.040zbMath1253.90077OpenAlexW2024670010MaRDI QIDQ1926670

Dave Worthington, Navid Izady

Publication date: 29 December 2012

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://openaccess.city.ac.uk/id/eprint/23377/1/Setting%20staffing%20requirements%20for%20time%20dependent%20queueing%20networks.pdf

zbMATH Keywords

simulationtime-dependent queues98\% targetstaffing emergency departments

Mathematics Subject Classification ID

Queues and service in operations research (90B22) Deterministic network models in operations research (90B10) Theory of organizations, manpower planning in operations research (90B70)

Related Items (8)

Inpatient boarding in emergency departments: impact on patient delays and system capacity ⋮ A branch-and-bound algorithm for shift scheduling with stochastic nonstationary demand ⋮ Service staffing with delay probabilities ⋮ Applying queueing theory to the study of emergency department operations: a survey and a discussion of comparable simulation studies ⋮ Physician Staffing for Emergency Departments with Time-Varying Demand ⋮ Fluid approximations and control of queues in emergency departments ⋮ Forecasting with temporal hierarchies ⋮ Staffing of time-varying queues using a geometric discrete time modelling approach

Cites Work

• Combining integer programming and the randomization method to schedule employees
• Peak congestion in multi-server service systems with slowly varying arrival rates
• Networks of infinite-server queues with nonstationary Poisson input
• Staffing of Time-Varying Queues to Achieve Time-Stable Performance
• What you should know about queueing models to set staffing requirements in service systems
• Improving the Sipp Approach for Staffing Service Systems That Have Cyclic Demands
• Heavy-Traffic Limits for Queues with Many Exponential Servers
• Understanding the Efficiency of Multi-Server Service Systems
• The Physics of the Mt/G/∞ Queue
• Server Staffing to Meet Time-Varying Demand
• The Lagged PSA for Estimating Peak Congestion in Multiserver Markovian Queues with Periodic Arrival Rates

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