A simulation model for determining variable worker requirements in a service operation with time-dependent customer demand |
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Authors: | Stephen K Kwan Mark M Davis Allen G Greenwood |
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Institution: | (1) Room 214, Hayden Hall, College of Business Administration, Northeastern University, 360 Huntington Avenue, 02115 Boston, MA, USA;(2) Room 351, Morison Hall, Bentley College, 02254 Waltham, MA, USA |
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Abstract: | In a service operation where worker requirements have to be determined for short scheduling time periods with nonstationary customer demand, the assumptions necessary for applying steady-state solutions to elementary queueing models are usually violated. This paper describes a simulation study of the behavior of such a service operation. The results are compared with the steady-state solutions to a queueing model where individual scheduling time periods are assumed to be independent. It is found that if the system utilization is below a derived maximum value (based on a service level criterion), then the steady-state solutions are robust enough to explain the behavior of the system and can be used to schedule worker requirements. |
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Keywords: | Simulation service operations worker requirements queueing models |
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