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PROJECT TITLE :

Queue Time Approximations for a Cluster Tool With Job Cascading

ABSTRACT:

Queueing models can be used to evaluate the performance of manufacturing systems. Due to the emergence of cluster tools in contemporary production systems, correct queueing models must be derived to evaluate the performance of machines with advanced configurations. Job cascading is a common structure among cluster tools. Because of the blocking and starvation effects among servers, queue time analysis for a cluster tool with job cascading is troublesome normally. Primarily based on the insight from the reduction method, we proposed the approximate model for the mean queue time of a cascading machine subject to breakdowns. The model is validated by simulation and performs well in the examined cases.


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