Asymptotically optimal staffing of service systems with joint QoS constraints
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Publication:475145
DOI10.1007/s11134-014-9406-xzbMath1309.60092OpenAlexW2110119070MaRDI QIDQ475145
John J. Hasenbein, David P. Morton, Jing Zan
Publication date: 25 November 2014
Published in: Queueing Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11134-014-9406-x
stochastic integer programmingparameter uncertaintyHalfin-Whitt regimeErlang-C formulalarge-scale service systems
Integer programming (90C10) Stochastic programming (90C15) Queueing theory (aspects of probability theory) (60K25) Queues and service in operations research (90B22)
Related Items (4)
Staffing large-scale service systems with distributional uncertainty ⋮ Joint chance-constrained staffing optimization in multi-skill call centers ⋮ The single server queue with mixing dependencies ⋮ Robust Optimization for Electricity Generation
Cites Work
- On the continued Erlang loss function
- An improved algorithm for solving biobjective integer programs
- Refining Square-Root Safety Staffing by Expanding Erlang C
- On a Data-Driven Method for Staffing Large Call Centers
- Staffing Call Centers with Uncertain Demand Forecasts: A Chance-Constrained Optimization Approach
- Capacity Sizing Under Parameter Uncertainty: Safety Staffing Principles Revisited
- Design and Control of a Large Call Center: Asymptotic Analysis of an LP-Based Method
- Dimensioning Large Call Centers
- Heavy-Traffic Limits for Queues with Many Exponential Servers
- Concavity and efficient points of discrete distributions in probabilistic programming.
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