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Optimizing daily agent scheduling in a multiskill call center

Athanassios N. Avramidis, Wyean Chan, Michel Gendreau, L'Ecuyer, Pierre and Ornella Pisacane

European Journal of Operational Research, 2010, vol. 200, issue 3, pages 822-832

Abstract: We examine and compare simulation-based algorithms for solving the agent scheduling problem in a multiskill call center. This problem consists in minimizing the total costs of agents under constraints on the expected service level per call type, per period, and aggregated. We propose a solution approach that combines simulation with integer or linear programming, with cut generation. In our numerical experiments with realistic problem instances, this approach performs better than all other methods proposed previously for this problem. We also show that the two-step approach, which is the standard method for solving this problem, sometimes yield solutions that are highly suboptimal and inferior to those obtained by our proposed method.

Keywords: Call; center; Stochastic; optimization; Staffing; Scheduling; Service; level; Cutting; plane; method (search for similar items in EconPapers)
Date: 2010

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Persistent link: http://EconPapers.repec.org/RePEc:eee:ejores:v:200:y:2010:i:3:p:822-832

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European Journal of Operational Research is edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati

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