Selection of optimum maintenance strategies based on a fuzzy analytic hierarchy process

• Main Authors: Aida Azizi, Kiumars Fathi
• Format: Article
• Language: English
• Published: Growing Science 2014-05-01
• Series: Management Science Letters
• Subjects: Maintenance; Fuzzy AHP; Ranking
• Online Access: http://www.growingscience.com/msl/Vol4/msl_2014_103.pdf
• ISSN: 1923-2934; 1923-9343

This paper presents an empirical investigation to rank different factors influencing on maintenance strategies on Iranian oil terminals’ company. The study determines four main factors, production quality, reliability, cost and safety. Using fuzzy analytical process, the study determines various factors associated with each main factor and ranks them by performing pair-wise comparisons. The results indicate that reliability ranks first (0.255), followed by production quality (0.252), cost (0.25) and safety (0.244). In terms of reliability, the best utilization of resources is number one priority followed by increase access to maintenance tools, reduction in production interruption are among the most important issues. In terms of production quality, reduction in system failure as well as reworks is the most important factors followed by customer satisfaction and defects. In terms of cost items, ease of access to accessories and consulting are important factors followed by necessary software, hardware and training programs. Finally, in terms of safety factors, external, internal and employee services are the most important issues, which are needed to be considered.