Multi-objective Integrated Optimization Problem of Preventive Maintenance Planning and Flexible Job-Shop Scheduling

被引：5
|
作者：
Jing, Zha [1 ]
Hua, Jin [1 ]
Yi, Zhu [1 ]
机构：
[1] Three Gorges Univ, Coll Mech & Power Engn, Yichang 443002, Hubei, Peoples R China
来源：
PROCEEDINGS OF THE 23RD INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT 2016: THEORY AND APPLICATION OF INDUSTRIAL ENGINEERING | 2017年
基金：
美国国家科学基金会;
关键词：
Preventive maintenance; Flexible job shop scheduling; Integrated optimization; Improved genetic algorithm;
D O I：
10.2991/978-94-6239-255-7_25
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In order to discuss the influence of equipment failure on the production schedule and equipment utilization rate in the pull production environment, a multi-objective integrated optimization problems of preventive maintenance planning and flexible job-shop scheduling model is established. The model is to minimize both the maximum completion time and the total equipment ' s workload. In this article an improved genetic algorithm is proposed to solve the problem. The multi-objective optimization model was compared with independent maintenance model to verify its superiority, and the multi-objective improved GA can find more Pareto solutions for the decision maker. Finally the example calculation shows that the integrated optimization can find the solution with shorter completion time, eliminate waste and improve production efficiency.
引用
收藏
页码：137 / 141
页数：5
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