DocumentCode :
634988
Title :
On-line schedule model for reusable equipment maintenance and support resource in wartime
Author :
Quan Jia ; Yaoyu Li
Author_Institution :
Coll. of Inf. Syst. & Manage., Nat. Univ. of Defense Technol., Changsha, China
fYear :
2013
fDate :
23-26 June 2013
Firstpage :
1
Lastpage :
6
Abstract :
Based on the discussion of reusable equipment maintenance and support resource in wartime, an on-line schedule model is proposed. Firstly, this paper analyzes the difference of the scheduling process between reusable resource and consumption resource in wartime. Secondly, the model takes the following issues into account: the priority of fault node, the acceptable waiting time of fault node, the different Mean Time Between Failures (MTBF) of fault node, the centralized control and distributed control. Furthermore, with the temporal and priority constraints, the on-line scheduling process returns the best solution in real time by using the Genetic Algorithm. An online simulation system based on System Effectiveness Analysis Simulation (SEAS) is designed to confirm that, comparing with the FIFO model and minimum distance model, the on-line schedule model can reduce the mean-latency-time of the fault node effectively in war time.
Keywords :
genetic algorithms; maintenance engineering; scheduling; FIFO model; MTBF; SEAS; centralized control; consumption resource; distributed control; fault node; genetic algorithm; mean time between failures; mean-latency-time; minimum distance model; online schedule model; online scheduling process; online simulation system; priority constraints; reusable equipment maintenance; reusable support resource; system effectiveness analysis simulation; wartime; Analytical models; Biological cells; Maintenance engineering; Schedules; Sociology; Time factors; Vehicles; SEAS; genetic algorithm (GA); maintenance and support resources; on-line schedule;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ASCC), 2013 9th Asian
Conference_Location :
Istanbul
Print_ISBN :
978-1-4673-5767-8
Type :
conf
DOI :
10.1109/ASCC.2013.6606047
Filename :
6606047
Link To Document :
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