quality evaluation in flexible manufacturing systems: a markovian approach
Clicks: 153
ID: 146186
2007
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Star Article
30.0
/100
153 views
17 readers
AI Quality Assessment
Not analyzed
Readership in this journal
StarRanked #307 of 1,093 articles by views in journal of power sources
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 1,093 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
The flexible manufacturing system (FMS) has attracted substantial amount of research
effort during the last twenty years. Most of the studies address the issues of
flexibility, productivity, cost, and so forth. The impact of flexible lines on product quality is
less studied. This paper intends to address this issue by applying a Markov model to
evaluate quality performance of a flexible manufacturing system. Closed expressions to
calculate good part probability are derived and discussions to maintain high product
quality are carried out. An example of flexible fixture in machining system is provided
to illustrate the applicability of the method. The results of this study suggest a possible approach
to investigate the impact of flexibility on product quality and, finally, with extensions and enrichment
of the model, may lead to provide production engineers and managers a better understanding of
the quality implications and to summarize some general guidelines of operation management in
flexible manufacturing systems.
| Reference Key |
li2007mathematicalquality
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Jingshan Li;Ningjian Huang |
| Journal | journal of power sources |
| Year | 2007 |
| DOI |
10.1155/2007/57128
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.