@ARTICLE{Rabta20131541,
  author = {Boualem Rabta and Reinhold Schodl and Gerald Reiner and Johannes
	Fichtinger},
  title = {A hybrid analysis method for multi-class queueing networks with multi-server
	nodes},
  journal = {Decision Support Systems},
  publisher = {Elsevier B.V.},
  year = {2013},
  volume = {54},
  pages = {1541 - 1547},
  number = {4},
  note = {Rapid Modeling for Sustainability},
  abstract = {There is no doubt that Rapid Modeling based on queueing theory serves
	the purpose of understanding complex manufacturing systems. It enables
	managers to integrate operational performance measures when evaluating
	alternative process designs. This helps decision-makers to avoid
	the mistake of focusing mainly on short-term financial results instead
	of finding sustainable solutions. However, we are facing several
	limitations of state-of-the-art algorithms for queueing systems.
	In particular, the precision of the estimates of the performance
	measures vary under different conditions, and information about the
	distribution of the output variables is available only for a few
	special cases. In this paper, we propose a set of recursive equations
	to describe the behavior of multi-class, multi-server queueing systems:
	\sum Gi/Gi/m. We will show the application to simulation and propose
	a hybrid decomposition method for queueing networks of \sum Gi/Gi/m
	stations. The proposed method is intended to deliver better estimates
	of the performance measures than the available decomposition algorithms
	and, at the same time, to be faster and easier to implement than
	full simulation. We illustrate the performance of the hybrid solution
	by comparing the results of discrete event simulation with the results
	of a software package implementing the hybrid algorithm and software
	packages applying alternative algorithms.},
  doi = {10.1016/j.dss.2012.05.056},
  gsid = {15984634091505945784},
  issn = {0167-9236},
  url = {http://www.sciencedirect.com/science/article/pii/S0167923612001777}
}