Preventive maintenance optimisation of multi-equipment manufacturing systems by combining discrete event simulation and multi-objective evolutionary algorithms-Reference-Cited by-同舟云学术

Preventive maintenance optimisation of multi-equipment manufacturing systems by combining discrete event simulation and multi-objective evolutionary algorithms

Published:2008-05-19 Issue:4 Volume:19 Page:342-355
ISSN:0953-7287
Container-title:Production Planning & Control
language:en
Short-container-title:Production Planning & Control

Author:

Oyarbide-Zubillaga A.¹,Goti A.¹,Sanchez A.²

Affiliation:

1. a Industrial Management Department , University of Mondragon , Mondragón , Spain

2. b Department of Statistics and Operational Research , Polytechnic University of Valencia , Valencia , Spain

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/09537280802034091

Reference31 articles.

1. Optimization of the preventive maintenance plan of a series components system

2. A heuristic algorithm for minimizing maintenance workforce level

3. Penalty guided genetic search for reliability design optimization

Cited by 37 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An assets maintenance-workforce planning problem under uncertainty: A chance constraints assisted simulation-optimization approach;Simulation Modelling Practice and Theory;2024-01

2. Simultaneous optimization of design and maintenance for systems using multi-objective evolutionary algorithms and discrete simulation;Soft Computing;2023-07-21

3. Cost-Benefit Analysis of Maintenance Plans: Case Study of the Power System of a Large Industrial Facility;IEEE Transactions on Power Systems;2023-05

4. Joint Optimization of Maintenance and Spare Parts Inventory for Multi-Unit Systems With a Generalized Structure;Journal of Manufacturing Science and Engineering;2022-12-12

5. Scheduling and batching with evolutionary algorithms in simulation–optimization of an industrial formulation plant;Computers & Industrial Engineering;2022-12