Publication - Using Queuing Theory to Predict Organizational Metrics

Authors: Horling, Bryan; and Lesser, Victor
Title: Using Queuing Theory to Predict Organizational Metrics
Abstract: Most existing organizational design processes focus on either the qualitative or domain-independent features of candidate designs. This paper demonstrates the significance of domain-specific features through an examination of an organizationally-driven information retrieval network. The behavior of a search process for appropriate agents and the consequences of hierarchical control in a continuous work flow are described. A model capable of predicting these and other characteristics is then created using techniques from queuing and probability theory. This model can then be used to guide the search for an appropriate design.
Keywords: Information Retrieval, Organizational Design
Publication: Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 1098 - 1100
Publisher: ACM
Date: 2006
Sources: PDF: /Documents/bhorling/06-ODMLIR.pdf
Notes: Appeared as short paper in conference; available here in full length version.
Reference: Horling, Bryan; and Lesser, Victor. Using Queuing Theory to Predict Organizational Metrics. Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems, ACM, pp. 1098-1100. 2006. Appeared as short paper in conference; available here in full length version.
bibtex: 
@inproceedings{Horling-408,
  author    = "Bryan Horling and Victor Lesser",
  title     = "{Using Queuing Theory to Predict Organizational
               Metrics}",
  booktitle = "Proceedings of the Fifth International Joint
               Conference on Autonomous Agents and Multiagent
               Systems",
  publisher = "ACM",
  pages     = "1098-1100",
  year      = "2006",
  url       = "http://mas.cs.umass.edu/paper/408",
}