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 |
|---|---|
| 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 |
| Summary: | 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. |
|---|