2008
DOI: 10.1016/j.cie.2007.11.004
|View full text |Cite
|
Sign up to set email alerts
|

Performance analysis in a probabilistic re-entrant for an environmental stress testing operation

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2009
2009
2012
2012

Publication Types

Select...
3
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(3 citation statements)
references
References 14 publications
0
3
0
Order By: Relevance
“…Goddard and Tavakoli, 2008), electronics testing (e.g. Omar and Kumar, 2008) and several other applications. Li et al (2007) proposed a graphical approach to evaluate the performance of a single station in semiconductor manufacturing.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Goddard and Tavakoli, 2008), electronics testing (e.g. Omar and Kumar, 2008) and several other applications. Li et al (2007) proposed a graphical approach to evaluate the performance of a single station in semiconductor manufacturing.…”
Section: Literature Reviewmentioning
confidence: 99%
“…On the other hand, manufacturing systems with stochastic flow of jobs between different stations due to job failures [86] is also observed. Under this scenario, the jobs entering the system have different repeated cycle requirements, contrasting with the deterministic re-entrant lines where jobs would have fixed cycle needs [80].…”
Section: Manufacturing System With Job Circulationmentioning
confidence: 99%
“…This method allows measuring the cycle times in terms of lots clusters. Omar and Kumar [80] extended their work in [63] improving the formulation in order to avoid the correction factor that is case dependent, simplifying the computation process. The objective of this work was to develop a method to determine the total cycle time and mean throughput in the same manufacturing system for a given lot loaded into the system.…”
Section: Manufacturing System With Job Circulationmentioning
confidence: 99%