TY - GEN
T1 - A queuing model for systems with rework and process downtime
AU - Brown, Adam J.
AU - Badurdeen, Fazleena
PY - 2013
Y1 - 2013
N2 - In manufacturing systems, lead time reduction can provide a strategic advantage, specifically when it means the elimination of non-value added waiting time. Queuing theory and Discrete Event Simulation (DES) are two methods commonly used to analyze lead time reduction efforts. Queuing models offer the advantage of fast analytical solutions, whereas DES analyses allow incorporation of high levels of system detail. There is great potential in the coordinated use of these methods. However, it is important to fully understand the assumptions and approximations of queuing theory as it is extended to increasingly realistic scenarios. Here, a novel formulation of queuing model is demonstrated for systems with both rework and process downtime. An emphasis is placed on the extensive testing of the queuing model vs. DES under a wide range of conditions, including various levels of rework rate, arrival variability, and process downtime. The queuing model proves to be effective at estimating lead time in all conditions examined.
AB - In manufacturing systems, lead time reduction can provide a strategic advantage, specifically when it means the elimination of non-value added waiting time. Queuing theory and Discrete Event Simulation (DES) are two methods commonly used to analyze lead time reduction efforts. Queuing models offer the advantage of fast analytical solutions, whereas DES analyses allow incorporation of high levels of system detail. There is great potential in the coordinated use of these methods. However, it is important to fully understand the assumptions and approximations of queuing theory as it is extended to increasingly realistic scenarios. Here, a novel formulation of queuing model is demonstrated for systems with both rework and process downtime. An emphasis is placed on the extensive testing of the queuing model vs. DES under a wide range of conditions, including various levels of rework rate, arrival variability, and process downtime. The queuing model proves to be effective at estimating lead time in all conditions examined.
UR - http://www.scopus.com/inward/record.url?scp=84891537562&partnerID=8YFLogxK
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U2 - 10.1109/CoASE.2013.6654043
DO - 10.1109/CoASE.2013.6654043
M3 - Conference contribution
AN - SCOPUS:84891537562
SN - 9781479915156
T3 - IEEE International Conference on Automation Science and Engineering
SP - 789
EP - 794
BT - 2013 IEEE International Conference on Automation Science and Engineering, CASE 2013
T2 - 2013 IEEE International Conference on Automation Science and Engineering, CASE 2013
Y2 - 17 August 2013 through 20 August 2013
ER -