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A MAINTENANCE POLICY SELECTION TOOL FOR INDUSTRIAL MACHINE PARTS

机译:工业机械零件的维修政策选择工具

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摘要

Industrial maintenance activities may be categorised under three strategies, preventive, corrective and predictive. It is necessary to identify domains of equipment and decide which maintenance policy suits each domain of equipment. Usually, it is assumed that maintenance managers are capable of achieving this job. This assumption however is practical, relies on the human factor, which as known to humans, could involve mistakes and hence may lead to implementing the wrong maintenance strategies. Money losses would eventually result. This paper presents a tool that deals with equipment as machine parts domains, where the domain is the group of the similar machine parts which undergo the same conditions. The suggested tool consists of a dual criteria categorisation grid, which through historical data, experts' knowledge and mathematical formulation selects the most suitable maintenance policy for each machine part (domain) individually. The implementation of this tool should guarantee the execution of the appropriate maintenance policy with each and every machine part; therefore it should result in a more economical production junction and a more efficient maintenance function. Examples from industry are given to further clarify the proposed tool applications.
机译:工业维护活动可分为预防,纠正和预测三种策略。有必要确定设备的域并确定适合每个设备域的维护策略。通常,假设维护经理有能力完成这项工作。然而,该假设是可行的,依赖于人为因素,而人为因素可能会导致错误,因此可能导致实施错误的维护策略。最终将导致金钱损失。本文提出了一种将设备作为机器零件域来处理的工具,其中该域是经历相同条件的相似机器零件的组。所建议的工具包括一个双重标准分类网格,该网格通过历史数据,专家的知识和数学公式为每个机器零件(领域)分别选择最合适的维护策略。该工具的实施应保证对每个机器零件执行适当的维护策略;因此,这将导致更经济的生产环节和更有效的维护功能。给出了行业示例,以进一步阐明建议的工具应用。

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