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Prioritizing equipments for preventive maintenance (PM) activities using fuzzy rules

机译:使用模糊规则为预防性维护(PM)活动划分设备优先级

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摘要

Maintenance, as a support function in businesses, plays an important role in backing up any emerging business and operation strategies. It is required to maximize the reliability of equipment and systems. Among them, preventive maintenance (PM) involves the repair, replacement, and maintenance of equipment in order to avoid unexpected failure during use. The objective of any PM program is the minimization of the total cost of inspection and repair, and equipment downtime (measured in terms of lost production capacity or reduced product quality). Maintenance activities have been regarded as a necessary expense that belongs to the operating budget. But since, organizational resources are limited and scarce, prioritizing equipments for assigning resources is essential. In this paper, fuzzy rules used to interpret linguistic variables for determination of priorities. Using this approach, such verbal expressions, which cannot be explicitly analyzed or statistically expressed, are herein quantified and used in decision making.
机译:维护作为企业的一项支持功能,在备份任何新兴的业务和运营策略中都扮演着重要的角色。需要最大限度地提高设备和系统的可靠性。其中,预防性维护(PM)涉及设备的维修,更换和维护,以避免在使用过程中发生意外故障。任何PM计划的目标都是将检查和维修的总成本以及设备的停机时间(以损失的生产能力或降低的产品质量衡量)最小化。维护活动被视为属于运营预算的必要支出。但是,由于组织资源有限且稀缺,因此优先分配设备资源至关重要。在本文中,模糊规则用于解释语言变量以确定优先级。使用这种方法,无法定量分析或统计表达的此类言语表达在此处被量化并用于决策。

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