International audienceWe consider a single server queue in discrete time, in which customers must be served before some limit sojourn time of geometrical distribution. A customer who is not served before this limit leaves the sys- tem. The fact of serving customers, holding them in queue or losing them induce costs. The purpose is to decide when to serve the customers so as to minimize these costs. We use a Markov Decision Process with infinite horizon and discounted criterion. We establish the structural properties of the stochastic dynamic programming operator, and we deduce that the optimal policy is of threshold type, and we compute the threshold explicitly
Optimization of scheduled arrival times to an appointment system is approached from the perspectives...
In this thesis, we study different scheduling policies in service networks. In Chapter 2, we conside...
Queueing networks are extensively used in the study of systems such as communication, computer, and ...
International audienceWe consider a single-server queue in discrete time, in which customers must be...
International audienceWe consider a single server queue in discrete time, in which customers must be...
International audienceWe consider a single server queue in continuous time, in which customers must ...
Queuing systems with time-critical customers can be encountered in packetized voice-communication sy...
We consider a content delivery problem in which jobs are processed in batches and may abandon befor...
International audienceWe consider a stochastic scheduling problem with impatience to the end of serv...
In this dissertation, we study a resource allocation problem for a service system with customers who...
\u3cp\u3eWe consider a content delivery problem in which jobs are processed in batches and may aband...
In this paper we address the problem of optimal scheduling in a multi-queue single-server (MQSS) mod...
We derive a lower bound for the staffing levels required to meet a projected load in a retail servic...
Queueing Theory has been successfully and extensively applied to the scheduling, control, and analys...
A class of dynamic control policies is defined for scheduling customers from a Poisson source on a s...
Optimization of scheduled arrival times to an appointment system is approached from the perspectives...
In this thesis, we study different scheduling policies in service networks. In Chapter 2, we conside...
Queueing networks are extensively used in the study of systems such as communication, computer, and ...
International audienceWe consider a single-server queue in discrete time, in which customers must be...
International audienceWe consider a single server queue in discrete time, in which customers must be...
International audienceWe consider a single server queue in continuous time, in which customers must ...
Queuing systems with time-critical customers can be encountered in packetized voice-communication sy...
We consider a content delivery problem in which jobs are processed in batches and may abandon befor...
International audienceWe consider a stochastic scheduling problem with impatience to the end of serv...
In this dissertation, we study a resource allocation problem for a service system with customers who...
\u3cp\u3eWe consider a content delivery problem in which jobs are processed in batches and may aband...
In this paper we address the problem of optimal scheduling in a multi-queue single-server (MQSS) mod...
We derive a lower bound for the staffing levels required to meet a projected load in a retail servic...
Queueing Theory has been successfully and extensively applied to the scheduling, control, and analys...
A class of dynamic control policies is defined for scheduling customers from a Poisson source on a s...
Optimization of scheduled arrival times to an appointment system is approached from the perspectives...
In this thesis, we study different scheduling policies in service networks. In Chapter 2, we conside...
Queueing networks are extensively used in the study of systems such as communication, computer, and ...