A hybrid column-generation and genetic algorithm approach for solving large-scale multimission selective maintenance problems in serial K-out-of-n:G systems-Reference-Cited by-同舟云学术

A hybrid column-generation and genetic algorithm approach for solving large-scale multimission selective maintenance problems in serial K-out-of-n:G systems

Published:2022-05-27 Issue:9 Volume:61 Page:3071-3087
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

O'Neil Ryan¹,Diallo Claver¹^ORCID,Khatab Abdelhakim¹²,Aghezzaf El-Houssain³⁴^ORCID

Affiliation:

1. Industrial Engineering, Dalhousie University, Halifax, Nova Scotia, Canada

2. Laboratory of Industrial Engineering, Production and Maintenance (LGIPM), Lorraine University, Metz, France

3. Department of Industrial Systems Engineering and Product Design, Faculty of Engineering and Architecture, Ghent University, Flanders Make, Ghent, Belgium

4. Industrial Systems Engineering (ISyE), Flanders Make, Lommel, Belgium

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2022.2077670

Reference46 articles.

1. A column generation approach for an employee scheduling problem with multiple shifts and work locations

2. Exact equation and an algorithm for reliability evaluation of K-out-of-N:G system

3. A performance-centred approach to optimising maintenance of complex systems

4. A literature review on selective maintenance for multi-unit systems

5. Selective maintenance modeling for industrial systems

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