DocumentCode
3437501
Title
Notice of Retraction
Hybrid preventive maintenance and inspection scheduling for a multi-unit series system
Author
Zhijun Cheng ; Zheng Yang ; Lin Tan
Author_Institution
Nat. Univ. of Defense Technol., Changsha, China
fYear
2013
fDate
15-18 July 2013
Firstpage
626
Lastpage
631
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.
A hybrid maintenance and inspection model is proposed for a series system with n+1 units subjected to two different failure patterns, which include deterioration and random shocks. The stationary laws for the failure process of the system are derived in order to evaluate the long-run average running cost on an infinite span generated by the proposed opportunistic policy. A periodic inspection is employed to monitor the states of system, upon which one needs to decide whether to perform maintenance. The preventive and opportunistic maintenance thresholds for degradation process & inspection interval are the decision variables of the proposed model. The behavior of the proposed maintenance policy is illustrated through numerical experiments. A comparison between the proposed approach and the juxtaposed single-unit policy is given, which demonstrates the advantages of the proposed opportunistic maintenance policy in reducing the maintenance cost significantly.
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.
A hybrid maintenance and inspection model is proposed for a series system with n+1 units subjected to two different failure patterns, which include deterioration and random shocks. The stationary laws for the failure process of the system are derived in order to evaluate the long-run average running cost on an infinite span generated by the proposed opportunistic policy. A periodic inspection is employed to monitor the states of system, upon which one needs to decide whether to perform maintenance. The preventive and opportunistic maintenance thresholds for degradation process & inspection interval are the decision variables of the proposed model. The behavior of the proposed maintenance policy is illustrated through numerical experiments. A comparison between the proposed approach and the juxtaposed single-unit policy is given, which demonstrates the advantages of the proposed opportunistic maintenance policy in reducing the maintenance cost significantly.
Keywords
decision making; failure analysis; inspection; preventive maintenance; scheduling; decision variables; degradation process; failure patterns; failure process; hybrid maintenance and inspection model; hybrid preventive maintenance and inspection scheduling; inspection interval; long-run average running cost; multiunit series system; opportunistic maintenance policy; opportunistic maintenance thresholds; periodic inspection; preventive maintenance thresholds; random shocks; single-unit policy; Analytical models; Delays; Inspection; Market research; Numerical models; Preventive maintenance; continuous deterioration; economical dependence; multi-unit system; opportunistic maintenance; periodic inspection;
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.2013.6625658
Filename
6625658
Link To Document