Abstract
This paper investigates a method for rapidly improving the performance of stochastic networks. The method uses queueing network techniques based on parametric decomposition and two-moment approximations. It employs some recently devised developments to the approximations, especially in the context of closed queueing networks with synchronization stations. We describe these developments and explain how the method uses them. It appears to offer a substantial advantage in speed, and reduces the dependence on repetitive simulation runs for identifying opportunities to improve network performance. We present an example from airfield operations, in which the method evaluates the tradeoffs with respect to several strategies for enhancing airfield performance, such as the introduction of concurrent operations, the reduction of service variability, and the increase in airfield capacity.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
