University of Minnesota M.S. thesis. May 2013. Major: Industrial and Systems Engineering. Advisor: Zizhuo Wang. 1 computer file (PDF); v, 37 pages.We consider a service system with two Poisson arrival queues. There is a single server that chooses which queue to serve at each moment. Once a queue is served, all the customers are served within a fixed time. This model is useful in studying airport shuttling or certain online computing systems. In this thesis, we first establish a Markov. Decision Process (MDP) model for this problem and study its structures. We then propose a simple yet optimal state-independent policy for this problem which is not only easy to implement, but also performs very well. If the service time of both queues eq...
We consider a novel queuing problem where the decision-maker must choose to accept or reject randoml...
We consider a single-server queueing system at which customers arrive according to a Poisson process...
In this thesis, we study different scheduling policies in service networks. In Chapter 2, we conside...
We consider a service system with two Poisson arrival queues. A server chooses which queue to serve ...
In this paper we address the problem of optimal scheduling in a multi-queue single-server (MQSS) mod...
A class of dynamic control policies is defined for scheduling customers from a Poisson source on a s...
Queueing Theory has been successfully and extensively applied to the scheduling, control, and analys...
This paper studies a single removable server queueing system with Poisson arrivals and k-type hyper-...
We study a multi-server queueing model in which the arrivals occur according to a Markovian arrival ...
Optimization of scheduled arrival times to an appointment system is approached from the perspectives...
Motivated by certain situations in manufacturing systems and communication networks, we look into th...
Motivated by certain situations in manufacturing systems and communication networks, we look into th...
Motivated by certain situations in manufacturing systems and communication networks, we look into th...
Optimization of scheduled arrival times to an appointment system is approached from the perspectives...
In modern transportation systems there exists a need to develop fast, responsive and easily adaptabl...
We consider a novel queuing problem where the decision-maker must choose to accept or reject randoml...
We consider a single-server queueing system at which customers arrive according to a Poisson process...
In this thesis, we study different scheduling policies in service networks. In Chapter 2, we conside...
We consider a service system with two Poisson arrival queues. A server chooses which queue to serve ...
In this paper we address the problem of optimal scheduling in a multi-queue single-server (MQSS) mod...
A class of dynamic control policies is defined for scheduling customers from a Poisson source on a s...
Queueing Theory has been successfully and extensively applied to the scheduling, control, and analys...
This paper studies a single removable server queueing system with Poisson arrivals and k-type hyper-...
We study a multi-server queueing model in which the arrivals occur according to a Markovian arrival ...
Optimization of scheduled arrival times to an appointment system is approached from the perspectives...
Motivated by certain situations in manufacturing systems and communication networks, we look into th...
Motivated by certain situations in manufacturing systems and communication networks, we look into th...
Motivated by certain situations in manufacturing systems and communication networks, we look into th...
Optimization of scheduled arrival times to an appointment system is approached from the perspectives...
In modern transportation systems there exists a need to develop fast, responsive and easily adaptabl...
We consider a novel queuing problem where the decision-maker must choose to accept or reject randoml...
We consider a single-server queueing system at which customers arrive according to a Poisson process...
In this thesis, we study different scheduling policies in service networks. In Chapter 2, we conside...