EconPapers    
Economics at your fingertips  
 

Optimisation of maintenance scheduling strategies on the grid

Alex Shenfield (), Peter Fleming, Visakan Kadirkamanathan and Jeff Allan

Annals of Operations Research, 2010, vol. 180, issue 1, 213-231

Abstract: The emerging paradigm of Grid Computing provides a powerful platform for the optimisation of complex computer models, such as those used to simulate real-world logistics and supply chain operations. This paper introduces a Grid-based optimisation framework that provides a powerful tool for the optimisation of such computationally intensive objective functions. This framework is then used in the optimisation of maintenance scheduling strategies for fleets of aero-engines, a computationally intensive problem with a high-degree of stochastic noise, achieving substantial improvements in the execution time of the algorithm. Copyright Springer Science+Business Media, LLC 2010

Keywords: Maintenance scheduling; Evolutionary optimisation; Grid computing (search for similar items in EconPapers)
Date: 2010
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1007/s10479-008-0496-x (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:180:y:2010:i:1:p:213-231:10.1007/s10479-008-0496-x

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479

DOI: 10.1007/s10479-008-0496-x

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 ().

 
Page updated 2025-03-20
Handle: RePEc:spr:annopr:v:180:y:2010:i:1:p:213-231:10.1007/s10479-008-0496-x