Integrated Production and Maintenance Planning for Cyber-physical Production Systems

被引：8

作者：

Schreiber, M. ^{[1
]}

Kloeber-Koch, J. ^{[1
]}

Richter, C. ^{[1
]}

Reinhart, G. ^{[1
]}

机构：

[1] Fraunhofer Res Inst Casting Composite & Proc Tech, Technol Zentrum 2, D-86159 Augsburg, Germany

来源：

51ST CIRP CONFERENCE ON MANUFACTURING SYSTEMS | 2018年 / 72卷

关键词：

Methodology; Maintenance; Decision Support System; PREVENTIVE MAINTENANCE;

D O I：

10.1016/j.procir.2018.03.144

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Continuously rising production costs and efficiency requirements present challenges for manufacturing companies. One way of overcoming these challenges is to improve maintenance efficiency and effectiveness by developing and integrating predictive maintenance tools, and using this information for the targeted planning of maintenance measures. However, the integration of sensors into previously-installed manufacturing resources for predicting the necessary maintenance tasks is one of the main challenges facing manufacturing companies. Therefore, this paper presents an innovative methodology for predictive maintenance tools as intelligent cloud services and the industrial application of this methodology for an integrated production and maintenance planning. (C) 2018 The Authors. Published by Elsevier B.V.

引用

页码：934 / 939

页数：6

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