Asymptotically optimal staffing of service systems with joint QoS constraints

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

zbMATH Keywords

stochastic integer programmingparameter uncertaintyHalfin-Whitt regimeErlang-C formulalarge-scale service systems

Mathematics Subject Classification ID

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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