2015•Unpublished venueOpen access

Multi-event Maintenance Decision-making Model Based on Opportunistic Maintenance Policy

Mengying Zhang, Gong Wang, Chuan Lv

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Abstract

As one core of modern maintenance theory, the maintenance decision-making theory has become a key research direction with its high precision and systematization.The maintenance decision-making aims to provide a reliable theoretical basis for the exclusion of faults to ensure normal circulation, adjust maintenance plan and treat of benefits, efficiency and economy according to the actual situation.For multi-component complex systems, fault events emerge one after another in a certain time period, a substantial portion of which can be reserved for quite a while and repair then.If the maintenance events are arranged together in a certain opportunity in accordance with opportunistic maintenance policy, maintenance plan can be adjusted and maintenance downtime can be reduced significantly.However, the most part of existing studies focus on pre-established maintenance policies, such as the combination of different preventive maintenance, or combination of preventive maintenance and corrective maintenance.And systematical dynamic maintenance decision-making during real-time operation is rare.Aiming at shortest maintenance downtime, the paper proposes a multi-event opportunistic maintenance decision-making model restricted to maintenance resources and mission requirements, which satisfy dynamic maintenance decision-making demands for complex system.In addition, it will greatly reduce maintenance costs and downtime, while improve system availability.

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As one core of modern maintenance theory, the maintenance decision-making theory has become a key research direction with its high precision and systematization.The maintenance decision-making aims to provide a reliable theoretical basis for the exclusion of faults to ensure normal circulation, adjust maintenance plan and treat of benefits, efficiency and economy according to the actual situation.For multi-component complex systems, fault events emerge one after another in a certain time period, a substantial portion of which can be reserved for quite a while and repair then.If the maintenance events are arranged together in a certain opportunity in accordance with opportunistic maintenance policy, maintenance plan can be adjusted and maintenance downtime can be reduced significantly.However, the most part of existing studies focus on pre-established maintenance policies, such as the combination of different preventive maintenance, or combination of preventive maintenance and corrective maintenance.And systematical dynamic maintenance decision-making during real-time operation is rare.Aiming at shortest maintenance downtime, the paper proposes a multi-event opportunistic maintenance decision-making model restricted to maintenance resources and mission requirements, which satisfy dynamic maintenance decision-making demands for complex system.In addition, it will greatly reduce maintenance costs and downtime, while improve system availability.

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Available abstract

As one core of modern maintenance theory, the maintenance decision-making theory has become a key research direction with its high precision and systematization.The maintenance decision-making aims to provide a reliable theoretical basis for the exclusion of faults to ensure normal circulation, adjust maintenance plan and treat of benefits, efficiency and economy according to the actual situation.For multi-component complex systems, fault events emerge one after another in a certain time period, a substantial portion of which can be reserved for quite a while and repair then.If the maintenance events are arranged together in a certain opportunity in accordance with opportunistic maintenance policy, maintenance plan can be adjusted and maintenance downtime can be reduced significantly.However, the most part of existing studies focus on pre-established maintenance policies, such as the combination of different preventive maintenance, or combination of preventive maintenance and corrective maintenance.And systematical dynamic maintenance decision-making during real-time operation is rare.Aiming at shortest maintenance downtime, the paper proposes a multi-event opportunistic maintenance decision-making model restricted to maintenance resources and mission requirements, which satisfy dynamic maintenance decision-making demands for complex system.In addition, it will greatly reduce maintenance costs and downtime, while improve system availability.

Key concepts: Computer science, Maintenance engineering, Event (particle physics), Decision-making models, Reliability engineering, Risk analysis (engineering), Business, Engineering

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