DocumentCode
2609044
Title
A combined multivariate technique and multi criteria decision making to maintenance strategy selection
Author
Zaeri, M.S. ; Shahrabi, J. ; Pariazar, M. ; Morabbi, Arash
Author_Institution
Islamic Azad Univ., Tehran
fYear
2007
fDate
2-4 Dec. 2007
Firstpage
621
Lastpage
625
Abstract
Maintenance plays a key role in reliability, availability, products quality, risk reduction, increasing efficiency, equipment safety. Miscellaneous strategies have been put forward for maintenance amongst which the most important ones are corrective, preventive, opportunistic, condition-based and predictive maintenance that considering each one´s relevant industry each of them has advantages and disadvantages. In this article a methodology is proposed to select optimum maintenance strategy. In this methodology, we try to recognize effective variables (such as environmental problems, budget constraint, manpower utilization) by reviewing expert´s notions and relevant specialized literature. Thereafter, by utilizing factor analysis, we will process the data so as to designate fundamental variables and summarize them in some factors. Then, we will apply the results obtained from factors analysis for designation of criteria in a hierarchy structure. Then by utilizing analytical hierarchy process, we will choose the best strategy; above mentioned stages have been used in a case study.
Keywords
decision making; maintenance engineering; analytical hierarchy process; combined multivariate technique; condition-based maintenance; criteria designation; hierarchy structure; maintenance strategy selection; multi criteria decision making; predictive maintenance; Availability; Costs; Decision making; Investments; Machinery production industries; Predictive maintenance; Preventive maintenance; Product safety; Risk management; Safety devices; Analytical Hierarchy process; Factor Analysis; Maintenance strategies;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Engineering and Engineering Management, 2007 IEEE International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-1529-8
Electronic_ISBN
978-1-4244-1529-8
Type
conf
DOI
10.1109/IEEM.2007.4419264
Filename
4419264
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