An approach for the integration of anticipative maintenance strategies within a production planning and control model

被引：22

作者：

Glawar, Robert ^{[1
,2
]}

Karner, Matthias ^{[1
]}

Nemeth, Tanja ^{[1
,2
]}

Matyas, Kurt ^{[2
]}

Sihn, Wilfried ^{[1
,2
]}

机构：

[1] Fraunhofer Austria Res GmbH, Theresianumgasse 7, A-1040 Vienna, Austria

[2] TU Wien, Theresianumgasse 27, A-1040 Vienna, Austria

来源：

11TH CIRP CONFERENCE ON INTELLIGENT COMPUTATION IN MANUFACTURING ENGINEERING | 2018年 / 67卷

基金：

欧盟地平线“2020”;

关键词：

Maintenance; Production planning and control; Predictive model; Integrated planning models; PREVENTIVE MAINTENANCE; JOINT OPTIMIZATION; QUALITY;

D O I：

10.1016/j.procir.2017.12.174

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Current production planning and control systems of manufacturing companies do not include future-oriented maintenance strategies that allow the precise prediction of maintenance tasks. This results in inefficient production processes due to unforeseeable machine downtimes, fluctuating lead times and a high number of rush orders. An approach for the integration of anticipative maintenance strategies within a production planning and control model is developed in order to increase the flexibility and quality of production planning. Based on an anticipative maintenance strategy, the model derives measures for minimizing the overall production costs as well as maintenance related costs over a finite planning horizon. (C) 2017 The Authors. Published by Elsevier B.V.

引用

页码：46 / 51

页数：6

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