DocumentCode
3437786
Title
Notice of Retraction
Selective maintenance model considering cannibalization and its solving algorithm
Author
Xue-Zhi Lv ; Bao-Xin Fan ; Yu Gu ; Xin-Hui Zhao
Author_Institution
Artillery Training Base of Gen. Staff, Xuanhua, China
fYear
2013
fDate
15-18 July 2013
Firstpage
717
Lastpage
723
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Selective maintenance policy and cannibalization policy are two very important fleet maintenance policies, but the two fleet maintenance policies have not been considered jointly yet. This paper proposes a selective maintenance model considering cannibalization. First of all, model assumptions are expounded, such as system configuration, system performance, mission description, multiple maintenance actions including cannibalization activity. Then, a non-linear, 0-1 programming model was presented to describe the selective maintenance problem considering cannibalization. Next, a decomposition algorithm based on particle swarm optimization was designed to solve complex model formulated. Finally, a numerical example was provided to verify the validity of the model and effectiveness of solving algorithm.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Selective maintenance policy and cannibalization policy are two very important fleet maintenance policies, but the two fleet maintenance policies have not been considered jointly yet. This paper proposes a selective maintenance model considering cannibalization. First of all, model assumptions are expounded, such as system configuration, system performance, mission description, multiple maintenance actions including cannibalization activity. Then, a non-linear, 0-1 programming model was presented to describe the selective maintenance problem considering cannibalization. Next, a decomposition algorithm based on particle swarm optimization was designed to solve complex model formulated. Finally, a numerical example was provided to verify the validity of the model and effectiveness of solving algorithm.
Keywords
maintenance engineering; marketing; nonlinear programming; numerical analysis; particle swarm optimisation; cannibalization activity; cannibalization policy; complex model; decomposition solving algorithm; fleet maintenance policies; mission description; multiple maintenance actions; nonlinear 0-1 programming model; numerical analysis; particle swarm optimization; selective maintenance model; selective maintenance policy; system configuration; system performance; Algorithm design and analysis; Computational modeling; Maintenance engineering; Mathematical model; Particle swarm optimization; Reliability; Vectors; cannibalization; maintenance; minimal repair; optimization; particle swarm optimization; preventive maintenance; reliability;
fLanguage
English
Publisher
ieee
Conference_Titel
Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), 2013 International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4799-1014-4
Type
conf
DOI
10.1109/QR2MSE.2013.6625675
Filename
6625675
Link To Document