Integrated non-cyclical preventive maintenance scheduling and production planning for multi-parallel component production systems with interdependencies-induced degradation-Reference-Cited by-同舟云学术

Integrated non-cyclical preventive maintenance scheduling and production planning for multi-parallel component production systems with interdependencies-induced degradation

Published:2024-01-19 Issue:9-10 Volume:130 Page:4723-4749
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Bahou Ziyad,Lemnaouar Mohamed Reda,Krimi Issam

Funder

Abu Dhabi University

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00170-024-12975-4.pdf

Reference94 articles.

1. Weinstein L, Chung CH (1999) Integrating maintenance and production decisions in a hierarchical production planning environment. Comput Oper Res 26(10–11):1059–1074. https://doi.org/10.1016/S0305-0548(99)00022-2

2. Keizer MCO, Flapper SDP, Teunter RH (2017) Condition-based maintenance policies for systems with multiple dependent components: A review. Eur J Oper Res 261(2):405–420. https://doi.org/10.1016/j.ejor.2017.02.044

3. Bahou Z, Krimi Lemnaouar MRI (2023) A dynamic availability analysis of an N-component production system with interdependency effects: a fractional-order approach. Prod Eng Res Devel. https://doi.org/10.1007/s11740-023-01216-4

4. Xu M, Jin X, Kamarthi S, Noor-E-Alam M (2018) A failure-dependency modeling and state discretization approach for condition-based maintenance optimization of multi-component systems. J Manuf Syst 47:141–152. https://doi.org/10.1016/j.jmsy.2018.04.018

5. Van Horenbeek A, Pintelon L (2013) A dynamic predictive maintenance policy for complex multi-component systems. Reliab Eng & Syst Saf 120:39–50. https://doi.org/10.1016/j.ress.2013.02.029

Cited by 1 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. Lagrangian relaxation method for solving a new time-dependent production–distribution planning model;Expert Systems with Applications;2024-12