DocumentCode
3443099
Title
Notice of Retraction
Decision-making model for ranking battlefield damaged equipment repairs based on multi-criteria
Author
Qiao Ma ; Guibo Yu ; Lijun Cao ; Jinhui Zhao ; Bing Feng
Author_Institution
Dept. of Guns Eng., Ordnance Eng. Coll., Shijiazhuang, China
fYear
2013
fDate
15-18 July 2013
Firstpage
1942
Lastpage
1944
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.
By analyzing and quantifying the ranking principles for the urgent repair of battle-damaged equipment, a mathematical model using fuzzy synthetic judgment (FSJ) is established. The problem of decision-making concerning the ranking of multi-equipment repairs by multi-criteria is solved and a basis for decision-making is provided for the equipment support authoritative department. It is expected to provide the calculating and simulating tools to optimize maintenance force deployment for equipment support directors and improve the fact that equipment commanders decide the urgent repairing order depending on one principle or experience.
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.
By analyzing and quantifying the ranking principles for the urgent repair of battle-damaged equipment, a mathematical model using fuzzy synthetic judgment (FSJ) is established. The problem of decision-making concerning the ranking of multi-equipment repairs by multi-criteria is solved and a basis for decision-making is provided for the equipment support authoritative department. It is expected to provide the calculating and simulating tools to optimize maintenance force deployment for equipment support directors and improve the fact that equipment commanders decide the urgent repairing order depending on one principle or experience.
Keywords
decision making; fuzzy set theory; maintenance engineering; military equipment; operations research; optimisation; FSJ; battlefield damaged multiequipment repair ranking; decision making model; equipment commanders; equipment support authoritative department; equipment support directors; fuzzy synthetic judgment; maintenance force deployment optimization; mathematical model; multicriteria problem; ranking principle analysis; ranking principle quantification; urgent repairing order; Decision making; Educational institutions; Maintenance engineering; Mathematical model; Personnel; Standards; Vectors; battle-damaged equipment; fuzzy synthetic judgment; model for ranking;
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.2013.6625959
Filename
6625959
Link To Document