Title
Making use of prognostics health management information for aerospace spare components logistics network optimisation
Abstract
Although research has evolved significantly over the last decade, there are still a large number of Grand Challenges confronting modelling, model deployment, and model-based decision making of large-scale complex Discrete Event Logistics Systems (DELS) to be tackled, as identified and reviewed during a Dagstuhl workshop in March 2010. This paper illustrates how several of these challenges are already being addressed, based on a series of case studies from the Aerospace Spare Components Logistics domain, where consolidated operational Prognostics and Health Management (PHM) information can be used for tactical planning and optimisation of spare components logistics networks. In this setting, the growing potential of PHM technology to facilitate the maintenance and support of commercial and military aircraft emphasises the need for tools to determine the impacts and benefits of a PHM system. To achieve this, the prognostics parameters and related logistics policies were identified, modelled, and subsequently incorporated into a simulation-based decision support framework.
Year
DOI
Venue
2011
10.1016/j.compind.2011.04.010
Computers in Industry
Keywords
Field
DocType
Aerospace spare component logistics,Aerospace Spare Components Logistics,network optimisation,Health Management,prognostics health management information,simulation-based decision support framework,Discrete Event Logistics Systems,model-based decision,aerospace spare components logistics,Prognostics and Health Management,Dagstuhl workshop,PHM system,D-SIMSPAIR,related logistics policy,PHM technology,Logistics Systems,spare components logistics network,Model-based approach
Aerospace,Spare part,Software deployment,Health management system,Prognostics,Systems engineering,Engineering management,Grand Challenges,Engineering
Journal
Volume
Issue
ISSN
62
6
Computers in Industry
Citations 
PageRank 
References 
5
0.51
5
Authors
7
Name
Order
Citations
PageRank
Nirupam Julka1636.34
Annamalai Thirunavukkarasu250.85
Peter Lendermann321925.96
Boon Ping Gan432934.25
Arnd Schirrmann5182.84
Helge Fromm691.12
Elaine Wong7163.86