TY - JOUR
T1 - A time-varying call center design via lagrangian mechanics
AU - Hampshire, Robert C.
AU - Jennings, Otis B.
AU - Massey, William A.
N1 - Funding Information:
The authors wish to thank the referees for their useful comments. They also thank Rudy L. Horne for bringing to their attention the connections between dynamic optimization and classical mechanics. The first and third authors were supported by NSF grant DMI-0323668.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2009/4
Y1 - 2009/4
N2 - We consider a multiserver delay queue with finite additional waiting spaces and time-varying arrival rates, where the customers waiting in the buffer may abandon. These are features that arise naturally from the study of service systems such as call centers. Moreover, we assume rewards for successful service completions and cost rates for service resources. Finally, we consider service-level agreements that constrain both the fractions of callers who abandon and the ones who are blocked. Applying the theory of Lagrangian mechanics to the fluid limit of a related Markovian service network model, we obtain near-profit-optimal staffing and provisioning schedules. The nature of this solution consists of three modes of operation. A key step in deriving this solution is combining the modified offered load approximation for loss systems with our fluid model. We use them to estimate effectively both our service-level agreement metrics and the profit for the original queuing model. Second-order profit improvements are achieved through a modified offered load version of the conventional square root safety rule.
AB - We consider a multiserver delay queue with finite additional waiting spaces and time-varying arrival rates, where the customers waiting in the buffer may abandon. These are features that arise naturally from the study of service systems such as call centers. Moreover, we assume rewards for successful service completions and cost rates for service resources. Finally, we consider service-level agreements that constrain both the fractions of callers who abandon and the ones who are blocked. Applying the theory of Lagrangian mechanics to the fluid limit of a related Markovian service network model, we obtain near-profit-optimal staffing and provisioning schedules. The nature of this solution consists of three modes of operation. A key step in deriving this solution is combining the modified offered load approximation for loss systems with our fluid model. We use them to estimate effectively both our service-level agreement metrics and the profit for the original queuing model. Second-order profit improvements are achieved through a modified offered load version of the conventional square root safety rule.
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U2 - 10.1017/S0269964809000151
DO - 10.1017/S0269964809000151
M3 - Article
AN - SCOPUS:68349146836
SN - 0269-9648
VL - 23
SP - 231
EP - 259
JO - Probability in the Engineering and Informational Sciences
JF - Probability in the Engineering and Informational Sciences
IS - 2
ER -