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...
Format: | Article |
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Language: | English |
Published: |
Faculty of Mechanical Engineering and University Publication Centre (UPENA),
2006.
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Online Access: | Get fulltext View Fulltext in UiTM IR |
LEADER | 01178 am a22001333u 4500 | ||
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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. | ||
546 | |a en | ||
655 | 7 | |a Article |