AR Ward - Surveys in Operations Research and Management …, 2012 - Elsevier
In this paper, we survey results for the GI/GI/N+ GI queueing model. Our focus is on finding situations in which simple performance measure approximations can be developed. To do …
Diffusion approximations have been a popular tool for performance analysis in queueing theory, with the main reason being tractability and computational efficiency. This dissertation …
This paper provides an introduction to the Stein method framework in the context of steady- state diffusion approximations. The framework consists of three components: the Poisson …
JG Dai, S He - Journal of Systems Science and Systems Engineering, 2012 - Springer
The performance of a call center is sensitive to customer abandonment. In this survey paper, we focus on G/GI/n+ GI parallel-server queues that serve as a building block to model call …
Motivated by queues with many servers, we study Brownian steady-state approximations for continuous time Markov chains (CTMCs). Our approximations are based on diffusion models …
AL Puha, AR Ward - … research & management science in the …, 2019 - pubsonline.informs.org
We describe a fluid model with time-varying input that approximates a multiclass many- server queue with impatient customers and time-varying arrivals (specifically, the multiclass …
JG Dai, T Tezcan - Mathematics of Operations Research, 2011 - pubsonline.informs.org
We consider a class of queueing systems that consist of server pools in parallel and multiple customer classes. Customer service times are assumed to be exponentially distributed. We …
AK Aras, X Chen, Y Liu - Queueing Systems, 2018 - Springer
Abstract Extending Ward Whitt's pioneering work “Fluid Models for Multiserver Queues with Abandonments, Operations Research, 54 (1) 37–54, 2006,” this paper establishes a many …
JG Dai, S He - Mathematics of Operations Research, 2010 - pubsonline.informs.org
We study G/G/n+ GI queues in which customer patience times are independent, identically distributed following a general distribution. When a customer's waiting time in queue …