DocumentCode
2991916
Title
Equipment spare parts failure preventive control based on control charts
Author
Zhao Yong-qiang ; Liang Gong-qian ; Zhou Xiao-hui
Author_Institution
Sch. of Manage., Northwestern Polytech. Univ., Xi´an, China
fYear
2012
fDate
20-22 Sept. 2012
Firstpage
596
Lastpage
600
Abstract
As a most frequently used and effective tool, control charts is an effective way for a company to improve product quality and productivity. It can also be used in monitoring the spare parts of equipment, preventing the equipment failure and reducing the maintenance costs. As the research object, the parameter of hazard rate is estimated by assuming that the hazard rate of spare parts obeying exponential distribution, the parameters of control chart is calculated by the economic model. The attributes control chart model is constructed on the condition of knowing the equipment failure parameters. At last, a case is given to verify the validity of the model. This control chart will be able to make the equipment hazard rate declined significantly by periodic preventive maintenance and process control.
Keywords
control charts; cost reduction; exponential distribution; failure (mechanical); failure analysis; hazards; preventive maintenance; process control; product quality; production equipment; attributes control chart model; control chart parameters; economic model; equipment failure parameters; equipment hazard rate; equipment spare parts failure preventive control; equipment spare parts monitoring; exponential distribution; hazard rate parameter; maintenance cost reduction; periodic preventive maintenance; process control; product quality improvement; productivity improvement; spare parts hazard rate; Control charts; Monitoring; Preventive maintenance; Process control; Reliability; attributes control chart; exponential distribution; periodic preventive control; process control;
fLanguage
English
Publisher
ieee
Conference_Titel
Management Science and Engineering (ICMSE), 2012 International Conference on
Conference_Location
Dallas, TX
ISSN
2155-1847
Print_ISBN
978-1-4673-3015-2
Type
conf
DOI
10.1109/ICMSE.2012.6414241
Filename
6414241
Link To Document