DocumentCode :
142340
Title :
Detailed cannibalization decision making for maintenance systems in the military context
Author :
Rui Zhang ; Ghanmi, Ahmed
Author_Institution :
Center for Operational Res. & Anal, Defence R&D Canada, Ottawa, ON, Canada
fYear :
2014
fDate :
March 31 2014-April 3 2014
Firstpage :
108
Lastpage :
115
Abstract :
Cannibalization operations are useful alternatives in military maintenance systems, when spare parts are not available for replacement. As this operation introduces additional complexity to the system, detailed cannibalization decision making was rarely studied in the literature. In this study, a stochastic model, which can be used to make cannibalization decisions in both single and multiple stage situations, was developed. For the single stage case, the problem is deterministic and can be solved using existing algorithms. For the multiple stage case, the case study indicates that cannibalization would be an effective operation for keeping a system in high reliability and availability levels, especially when passive repair is conducted and the number of spare parts is not sufficient.
Keywords :
military computing; detailed cannibalization decision making; military maintenance systems; passive repair; spare parts; Aircraft; Availability; Context; Decision making; Maintenance engineering; Military aircraft; Research and development;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Conference (SysCon), 2014 8th Annual IEEE
Conference_Location :
Ottawa, ON
Print_ISBN :
978-1-4799-2087-7
Type :
conf
DOI :
10.1109/SysCon.2014.6819244
Filename :
6819244
Link To Document :
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