NDLI: Maintenance policy determination for a complex system consisting of series and cold standby system with multiple levels of maintenance action

Content Provider	Springer Nature Link
Author	Jamshidi, R. Esfahani, Mir Mehdi Seyyed
Copyright Year	2015
Abstract	Complex systems are categorized by large numbers of components and cut sets with different types or by statistical dependence between the components’ states. Considering this fact, selecting the best maintenance policy for a complex system is a complicated problem. This problem becomes more difficult when we are faced with several actions such as replacement or different repair levels with different cost and failure reduction effects, for each component. In this paper, we propose a mathematical bi-objective model that considers the corrective maintenance (CM) and preventive maintenance (PM) to minimize cost and maximize the reliability for a complex system consisting of series and standby components. Since the proposed model is non-deterministic polynomial-time hard (NP-hard), we utilize the non-dominated sorting genetic algorithm II (NSGA II) that is mostly used to solve the multi-objective models. The proposed NSGA II has a memory to obtain better results in comparison with common multi-objective evolutionary algorithm. The performance of the proposed model has been examined against a numeric instance to indicate the model’s efficiency and effectiveness.
Starting Page	1337
Ending Page	1346
Page Count	10
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	78
Issue Number	5-8
e-ISSN	14333015
Language	English
Publisher	Springer London
Publisher Date	2015-01-09
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Maintenance Repair Genetic algorithm Optimization Non-dominated sorting Industrial and Production Engineering Production/Logistics/Supply Chain Mechanical Engineering Computer-Aided Engineering (CAD, CAE) and Design
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

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