DocumentCode
3437594
Title
Notice of Retraction
Comprehensive analysis of system reliability and maintenance strategy based on optimal lifecycle cost
Author
Guangyu Chen ; Shuyang Zheng ; Yi Feng ; Jing Li
Author_Institution
Sch. of Manage. & Econ., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear
2013
fDate
15-18 July 2013
Firstpage
654
Lastpage
658
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.
Lifecycle cost (LCC) is the total cost that a system needed throughout the whole life cycle. The studies of LCC have a positive effect on cost control, management strategy selection, quality optimization and best cost-effectiveness management. However, most of the current LCC methods only consider the cost but neglect the performance of the system, which have significant limitations. This paper proposes a LCC optimization model including design cost, manufacturing cost and repair cost. A computational study of an optical system of a large-scale facility is provided to demonstrate the applicability and the effectiveness of our proposed model. In the case, the relationship curve of optimal LCC and reliability design requirements considering preventive maintenance is obtained. By comparing the curve of optimal LCC with and without preventive maintenance, we can find the intrinsic relationship between reliability design, maintenance strategy and the optimal LCC, and provide a general method of improving cost-effectiveness in the design of the system.
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.
Lifecycle cost (LCC) is the total cost that a system needed throughout the whole life cycle. The studies of LCC have a positive effect on cost control, management strategy selection, quality optimization and best cost-effectiveness management. However, most of the current LCC methods only consider the cost but neglect the performance of the system, which have significant limitations. This paper proposes a LCC optimization model including design cost, manufacturing cost and repair cost. A computational study of an optical system of a large-scale facility is provided to demonstrate the applicability and the effectiveness of our proposed model. In the case, the relationship curve of optimal LCC and reliability design requirements considering preventive maintenance is obtained. By comparing the curve of optimal LCC with and without preventive maintenance, we can find the intrinsic relationship between reliability design, maintenance strategy and the optimal LCC, and provide a general method of improving cost-effectiveness in the design of the system.
Keywords
industrial economics; life cycle costing; optimisation; preventive maintenance; reliability; strategic planning; LCC optimization model; best cost-effectiveness management; cost control; design cost; maintenance strategy; management strategy selection; manufacturing cost; optimal lifecycle costing; preventive maintenance; quality optimization; repair cost; system reliability; Manufacturing; Optimization; Preventive maintenance; Reliability engineering; Weibull distribution; design of systems; optimal lifecycle cost; 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.2013.6625663
Filename
6625663
Link To Document