A multi-stage optimization algorithm for standardization of maintenance plans

被引:1
|
作者
Gilabert, Eduardo [1 ]
Konde, Egoitz [1 ]
Sierra, Basilio [2 ]
Arnaiz, Aitor [1 ]
机构
[1] IK4 TEKNIKER, Eibar 20600, Gipuzkoa, Spain
[2] Univ Basque Country, UPV EHU, Dept Comp Sci & Artificial Intelligence, Leioa, Spain
来源
IFAC PAPERSONLINE | 2018年 / 51卷 / 11期
关键词
Preventive maintenance; optimization algorithms; planning;
D O I
10.1016/j.ifacol.2018.08.371
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The main objective of maintenance is to increase equipment lifetime while keeping the efficiency and reliability of the systems in operation. However, the definition of the preventive maintenance tasks is not an easy problem to solve, since in many cases tasks performed on assets can be redundant, not required and it is then difficult to define cost-effective maintenance plans. Therefore, a more accurate definition of plans is needed to reduce maintenance costs, where different optimization algorithms can be used. Taking a single one-stage approach could serve to find an optimal solution depending of the use case, but a unique algorithm does not find reliable results in a generic way. This paper presents an algorithm to solve this combinatorial optimization problem, using a multi-stage approach with 4 different algorithms. The experimentation shows that this novel approach obtains better results than the use of the individual optimization algorithms. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码:520 / 524
页数:5
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