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    • Joint chance-constrained staffing optimization in multi-skill call centers
    Tác giả : Tien, Thanh Dam; Thuy, Anh Ta; Tien, Mai;  Người hướng dẫn: -;  Đồng tác giả: - (2022)

    This paper concerns the staffing optimization problem in multi-skill call centers. The objective is to find a minimal cost staffing solution while meeting a target level for the quality of service (QoS) to customers. We consider a staffing problem in which joint chance constraints are imposed on the QoS of the day. Our joint chance-constrained formulation is more rational capturing the correlation between different call types, as compared to separate chance-constrained versions considered in previous studies. We show that, in general, the probability functions in the joint-chance constraints display S-shaped curves, and the optimal solutions should belong to the concave regions of the curves. Thus, we propose an approach combining a heuristic phase to identify solutions lying in the...
    • Joint chance-constrained staffing optimization in multi-skill call centers
    Tác giả : Tien, Thanh Dam; Thuy Anh, Ta; Tien, Mai;  Người hướng dẫn: -;  Đồng tác giả: - (2022)

    This paper concerns the staffing optimization problem in multi-skill call centers. The objective is to find a minimal cost staffing solution while meeting a target level for the quality of service (QoS) to customers. We consider a staffing problem in which joint chance constraints are imposed on the QoS of the day. Our joint chance-constrained formulation is more rational capturing the correlation between different call types, as compared to separate chance-constrained versions considered in previous studies. We show that, in general, the probability functions in the joint-chance constraints display S-shaped curves, and the optimal solutions should belong to the concave regions of the curves. Thus, we propose an approach combining a heuristic phase to identify solutions lying in the...