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

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
Online Access:http://ir.uitm.edu.my/id/eprint/17591/
http://ir.uitm.edu.my/id/eprint/17591/1/AJ_SURESH%20KUMAR%20JME%2006.pdf
id uitm-17591
recordtype eprints
spelling uitm-175912017-08-10T04:16:25Z http://ir.uitm.edu.my/id/eprint/17591/ 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 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. Faculty of Mechanical Engineering and University Publication Centre (UPENA) 2006 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/17591/1/AJ_SURESH%20KUMAR%20JME%2006.pdf UNSPECIFIED (2006) Performance measure in a probabilistic re-entrant stress testing line using mean value analysis / Suresh Kumar and Mohamed Khaled Omar. Journal of Mechanical Engineering, 3 (1). pp. 63-77. ISSN 1823-5514
repository_type Digital Repository
institution_category Local University
institution Universiti Teknologi MARA
building UiTM Institutional Repository
collection Online Access
language English
description 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.
format Article
title Performance measure in a probabilistic re-entrant stress testing line using mean value analysis / Suresh Kumar and Mohamed Khaled Omar
spellingShingle Performance measure in a probabilistic re-entrant stress testing line using mean value analysis / Suresh Kumar and Mohamed Khaled Omar
title_short Performance measure in a probabilistic re-entrant stress testing line using mean value analysis / Suresh Kumar and Mohamed Khaled Omar
title_full Performance measure in a probabilistic re-entrant stress testing line using mean value analysis / Suresh Kumar and Mohamed Khaled Omar
title_fullStr Performance measure in a probabilistic re-entrant stress testing line using mean value analysis / Suresh Kumar and Mohamed Khaled Omar
title_full_unstemmed Performance measure in a probabilistic re-entrant stress testing line using mean value analysis / Suresh Kumar and Mohamed Khaled Omar
title_sort performance measure in a probabilistic re-entrant stress testing line using mean value analysis / suresh kumar and mohamed khaled omar
publisher Faculty of Mechanical Engineering and University Publication Centre (UPENA)
publishDate 2006
url http://ir.uitm.edu.my/id/eprint/17591/
http://ir.uitm.edu.my/id/eprint/17591/1/AJ_SURESH%20KUMAR%20JME%2006.pdf
first_indexed 2023-09-18T22:58:38Z
last_indexed 2023-09-18T22:58:38Z
_version_ 1777418023631585280

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