A joint predictive maintenance and spare parts provisioning policy for multi-component systems using RUL prediction and importance measure

Kim-Anh Nguyen, Phuc Do, and Antoine Grall
Submission Type: 
Full Paper
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phmce_14_014.pdf449.72 KBJune 6, 2014 - 5:10am

The paper presents a joint predictive maintenance and spare parts provisioning policy for gradually deteriorating multi-component systems with complex structure. The decision-making process related to maintenance, spare parts ordering, as well as inspections scheduling is based on both RUL prediction and structural importance measure. Moreover, economic dependency between components is studied and integrated in decision rules. In addition, the impacts of the system structure on components deterioration process are also investigated. This dependency may have a significant influence on the RUL estimation of components. In order to evaluate the performance of the proposed joint predictive policy, a cost model is used. Finally, a numerical example of a 6-component system is introduced to illustrate the use and the advantages of the proposed joint maintenance and spare parts provisioning policy.

Publication Year: 
2014
Publication Volume: 
5
Publication Control Number: 
014
Page Count: 
12
Submission Keywords: 
remaining useful life (RUL)
predictive maintenance
spare parts
decision making
complex systems
importance measure
Submission Topic Areas: 
CBM and informed logistics
Submitted by: 
  
 
 
 

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