Paper Info
Title
Application of Erlang distribution in cycle time estimation of toolsets with wip-dependent arrival and service in a single product-type single failure-type environment
Abstract
This paper proposes a methodology based on phase type distributions and a state dependent Markov chain model to estimate the cycle time of workstations (toolsets) in semiconductor manufacturing. Due to implicit operational policies adopted by the line managers the performance of the existing queueing models for toolsets is not satisfactory. On the other hand developing accurate simulation models for toolsets can be very time consuming and hard to maintain. In this paper we propose a Markov chain model with the ability to include implicit operational rules on dispatching and maintenance. We verify the performance of this model via simulation and present the results for a variety of arrival and service distribution shapes.
Year
DOI
Venue
2010
10.1109/WSC.2010.5678949
Winter Simulation Conference
Keywords
Field
DocType
cycle time estimation,implicit operational policy,implicit operational rule,phase type distribution,existing queueing model,time consuming,erlang distribution,markov chain model,wip-dependent arrival,accurate simulation model,line manager,cycle time,single product-type single failure-type,state dependent markov chain,accuracy,markov processes,exponential distribution,maintenance engineering,estimation,semiconductor manufacturing,queueing theory,simulation model
Erlang distribution,Markov process,Computer science,Product type,Markov chain,Workstation,Queueing theory,Exponential distribution,Reliability engineering,Maintenance engineering
Conference
ISSN
ISBN
Citations 
0891-7736
978-1-4244-9864-2
0
PageRank 
References 
Authors
0.34
5
3
Name
Order
Citations
PageRank
Raha Akhavan-Tabatabaei16611.78
Juan José Ucrós200.34
J. George. Shanthikumar3778151.97