Complexity in rework cells: theory, analysis and comparison
S B Yu () and
J Efstathiou
Additional contact information
S B Yu: Oxford University
J Efstathiou: Oxford University
Journal of the Operational Research Society, 2006, vol. 57, issue 5, 593-602
Abstract:
Abstract Although the word complexity is often used by engineers who are trying to re-design or re-organize a system, a formal definition of the term is often lacking. This paper introduces and extends the application of the concept of entropy to the quantitative analysis of complexity in the design and study of manufacturing systems. Sequence disorder complexity and routing complexity are defined in the context of manufacturing systems specifically including rework cells. Different kinds of rework cells are defined and their parameters presented. The difference between input and output sequences is studied with respect to rework cell system parameters and we introduce a quantitative complexity metric to measure the difference between alternative rework cells. The emphasis of this paper is on providing a comprehensive comparison on system performance of several structures of rework cells in terms of complexity, cost and quality. The paper concludes that both the choice of rework cells structure and system parameter selection are important to the design of rework cells.
Keywords: process design; rework cells; entropy and complexity (search for similar items in EconPapers)
Date: 2006
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://link.springer.com/10.1057/palgrave.jors.2602032 Abstract (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:pal:jorsoc:v:57:y:2006:i:5:d:10.1057_palgrave.jors.2602032
Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/41274
DOI: 10.1057/palgrave.jors.2602032
Access Statistics for this article
Journal of the Operational Research Society is currently edited by Tom Archibald and Jonathan Crook
More articles in Journal of the Operational Research Society from Palgrave Macmillan, The OR Society
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().