Robust and data-driven approaches to call centers

DOI10.1016/j.ejor.2010.05.040zbMath1206.90021OpenAlexW1973232750MaRDI QIDQ992722

Xuan Vinh Doan, Dimitris J. Bertsimas

Publication date: 9 September 2010

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

Full work available at URL: https://doi.org/10.1016/j.ejor.2010.05.040

zbMATH Keywords

linear programmingfluid modelrobust optimizationdata-driven approachcall center: staffing and routing

Mathematics Subject Classification ID

Communication networks in operations research (90B18) Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) (90C08)

Related Items (7)

Staffing large-scale service systems with distributional uncertainty ⋮ A stochastic inventory model of COVID-19 and robust, real-time identification of carriers at large and infection rate via asymptotic laws ⋮ Performance Approximation for Time-Dependent Queues with Generally Distributed Abandonments ⋮ Integrated facility location and production scheduling in multi-generation energy systems ⋮ Staffing a call center with uncertain non-stationary arrival rate and flexibility ⋮ Recent advances in robust optimization: an overview ⋮ Statistical inference for \(M_t/G/ Infinity\) queueing systems under incomplete observations

Uses Software

• DATA-MOCCA

Cites Work

• Unnamed Item
• On a Data-Driven Method for Staffing Large Call Centers
• A Robust Optimization Approach to Inventory Theory
• Stochastic Dominance
• Statistical Analysis of a Telephone Call Center

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