Performance measure in a probabilistic re-entrant stress testing line using mean value analysis / Suresh Kumar and Mohamed Khaled Omar

This paper presents a modified analytical model based on mean value analysis (MVA) technique and virtual lot clustering method for a probabilistic re-entrant stress testing line. The objective is to determine the total cycle time and the mean throughput rate of the Power Soak Testing (PST) process f...

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Format: Article
Language:English
Published: Faculty of Mechanical Engineering and University Publication Centre (UPENA), 2006.
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245 0 0 |a Performance measure in a probabilistic re-entrant stress testing line using mean value analysis / Suresh Kumar and Mohamed Khaled Omar 
260 |b Faculty of Mechanical Engineering and University Publication Centre (UPENA),   |c 2006. 
856 |z Get fulltext  |u https://ir.uitm.edu.my/id/eprint/17591/1/AJ_SURESH%20KUMAR%20JME%2006.pdf 
856 |z View Fulltext in UiTM IR  |u https://ir.uitm.edu.my/id/eprint/17591/ 
520 |a This paper presents a modified analytical model based on mean value analysis (MVA) technique and virtual lot clustering method for a probabilistic re-entrant stress testing line. The objective is to determine the total cycle time and the mean throughput rate of the Power Soak Testing (PST) process for a given number of lots. Using the analytical and simulation method, a five-stage queuing system with re-entrant lines into the second stage under various probabilistic routing conditions are analysed and comparison results are made. The results obtained can be used by operation managers for their decision-making. 
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655 7 |a Article