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In some service systems, the total number of customers is known in advance, and customers must be served before a strict deadline. This applies, for example, to dedicated check-in processes at airports. Maximilian Kunz’s research deals with the performance evaluation and optimization of such a queueing system with a finite customer population and nonstationary arrivals. He focuses on developing staffing policies that determine the optimal number of check-in counters that balance service quality and costs while exploiting knowledge about the finite number of customers and the number of arrived customers.

Research Interests

Staffing for queueing systems with finite populations and deadlines

In some service systems, the total number of customers is known in advance, and customers must be served before a strict deadline. This applies, for example, to dedicated check-in processes at airports. Maximilian Kunz’s research deals with the performance evaluation and optimization of such a queueing system with a finite customer population and nonstationary arrivals. He focuses on developing staffing policies that determine the optimal number of check-in counters that balance service quality and costs while exploiting knowledge about the finite number of customers and the number of arrived customers.

 

 

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