A New Decomposition Approach for Non-Cyclic Continuous Material Flow Lines with a Merging Flow of Material
Stefan Helber () and
Hanifa Jusić
Annals of Operations Research, 2004, vol. 125, issue 1, 117-139
Abstract:
We extend the decomposition approaches for flow lines with unreliable machines and limited buffer capacity as proposed by Gershwin and refined by Dallery, David, and Xie and by Burman by incorporating a new building block in the decomposition. This new building block is a three-machine, one buffer system which models a merging flow of material. While previous decomposition approaches led to a decomposition of the original network into virtual two-machine lines, we now use both virtual two- and three-machine lines. This requires a new set of decomposition equations for the virtual machines of the two-machine lines that surround the new building block modelling the merge. We present these equations, show how to solve them in an algorithm and present numerical results for non-cyclic networks in order to determine production rate and inventory level estimates. Copyright Kluwer Academic Publishers 2004
Keywords: flow line; decomposition; continuous material; merge system (search for similar items in EconPapers)
Date: 2004
References: Add references at CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://hdl.handle.net/10.1023/B:ANOR.0000011188.11019.33 (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:spr:annopr:v:125:y:2004:i:1:p:117-139:10.1023/b:anor.0000011188.11019.33
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479
DOI: 10.1023/B:ANOR.0000011188.11019.33
Access Statistics for this article
Annals of Operations Research is currently edited by Endre Boros
More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().