文章基本信息

标题：The Use of Intelligent Systems to Support the Decision-Making Process in Lean Maintenance Management
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作者：Katarzyna Antosz ; Lukasz Pasko ; Arkadiusz Gola 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2019
卷号：52
期号：10
页码：148-153
DOI：10.1016/j.ifacol.2019.10.037
语种：English
出版社：Elsevier
摘要：AbstractManufacturing companies continually aim at increasing the performance and effectiveness of maintenance processes. The emphasis is put on the elimination of unexpected failures which generate unnecessary costs and production losses. The element that has an impact on the efficiency of maintenance is not only the selection of an appropriate conservation strategy and the use of appropriate methods and tools to support the decision-making process in this area. The aim of this work is to present the possibility of using intelligent systems to support decision-making processes in the implementation of the Lean Maintenance concept, which allows to increase the operational efficiency of the company’s technical infrastructure.
关键词：Keywordsdecision - making processmaintenance managementLean Maintenancefuzzy logicdecision treethe theory of rough sets