The Use of Intelligent Systems to Support the Decision-Making Process in Lean Maintenance Management

被引：18
|
作者：
Antosz, Katarzyna [1 ]
Pasko, Lukasz [1 ]
Gola, Arkadiusz [2 ]
机构：
[1] Rzeszow Univ Technol, Fac Mech Engn & Aeronaut, Rzeszow, Poland
[2] Lublin Univ Technol, Inst Technol Syst Informat, Lublin, Poland
来源：
IFAC PAPERSONLINE | 2019年 / 52卷 / 10期
关键词：
decision - making process; maintenance management; Lean Maintenance; fuzzy logic; decision tree; the theory of rough sets; MEDICAL EQUIPMENT; IDENTIFICATION; PRIORITIZATION;
D O I：
10.1016/j.ifacol.2019.10.037
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Manufacturing 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. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码：148 / 153
页数：6
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