Decision support systems for effective maintenance operations

被引：63
|
作者：
Ni, Jun [1 ]
Jin, Xiaoning [1 ]
机构：
[1] Univ Michigan, Ann Arbor, MI 48109 USA
来源：
CIRP ANNALS-MANUFACTURING TECHNOLOGY | 2012年 / 61卷 / 01期
基金：
美国国家科学基金会;
关键词：
Maintenance; Decision making; Manufacturing systems;
D O I：
10.1016/j.cirp.2012.03.065
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
To compete successfully in the market place, leading manufacturing companies are pursuing effective maintenance operations. Existing computerized maintenance management systems (CMMS) can no longer meet the needs of dynamic maintenance operations. This paper describes newly developed decision support tools for effective maintenance operations: (1) data-driven short-term throughput bottleneck identification, (2) estimation of maintenance windows of opportunity, (3) prioritization of maintenance tasks, (4) joint production and maintenance scheduling systems, and (5) maintenance staff management. Mathematical algorithms and simulation tools are utilized to illustrate the concepts of these decision support systems. Results from real implementations in automotive manufacturing are presented to demonstrate the effectiveness of these tools. (C) 2012 CIRP.
引用
收藏
页码：411 / 414
页数：4
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