An optimal dynamic interval preventive maintenance scheduling for series systems. (October 2015)

• Record Type: Journal Article
• Authors: Gao, Yicong; Feng, Yixiong; Zhang, Zixian; Tan, Jianrong
• Is Part Of: Reliability engineering & system safety. Volume 142(2015:Oct.)
• Page Start: 19
• Page End: 30
• Publication Date: 2015-10
• Subjects: Dynamic interval -- Non-periodic preventive maintenance -- Optimization -- Machine tools technology; Reliability (Engineering) -- Periodicals; System safety -- Periodicals; Industrial safety -- Periodicals; Fiabilité -- Périodiques; Sécurité des systèmes -- Périodiques; Sécurité du travail -- Périodiques; 620.00452
• DOI: 10.1016/j.ress.2015.03.032
• Languages: English
• ISSNs: 0951-8320

Abstract

Abstract: This paper studies preventive maintenance (PM) with dynamic interval for a multi-component system. Instead of equal interval, the time of PM period in the proposed dynamic interval model is not a fixed constant, which varies from interval-down to interval-up. It is helpful to reduce the outage loss on frequent repair parts and avoid lack of maintenance of the equipment by controlling the equipment maintenance frequency, when compared to a periodic PM scheme. According to the definition of dynamic interval, the reliability of system is analyzed from the failure mechanisms of its components and the different effects of non-periodic PM actions on the reliability of the components. Following the proposed model of reliability, a novel framework for solving the non-periodical PM schedule with dynamic interval based on the multi-objective genetic algorithm is proposed. The framework denotes the strategies include updating strategy, deleting strategy, inserting strategy and moving strategy, which is set to correct the invalid population individuals of the algorithm. The values of the dynamic interval and the selections of PM action for the components on every PM stage are determined by achieving a certain level of system availability with the minimum total PM-related cost. Finally, a typical rotary table system of NC machine tool is used as an example to describe the proposed method. Highlights: A non-periodic preventive maintenance scheduling model is proposed. A framework for solving the non-periodical PM schedule problem is developed. The interval of non-periodic PM is flexible and schedule can be better adjusted. Dynamic interval leads to more efficient solutions than fixed interval does.