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This work develops a new variant of selective maintenance (SM) optimization model for multicomponent systems running multiple alternating sequences of missions and breaks. A component deteriorates randomly and fails when the corresponding failure threshold is exceeded. Components' failures impact the quality of the environment and increase the energy consumption. Thus, failures induce penalty costs. Improving the system reliability during the following mission is achieved by performing maintenance activities on its elements during the breaks. A condition-based SM optimization problem (CBSMP)is developed to minimize the total expected cost subject to the limited break durations and required reliability for the next mission. A model's solution determines an optimal SM plan which minimize the total expected cost resulting from inspection, maintenance, and costs due to impact of components' failures on the environment and energy requirements. The proposed approach is tested on a numerical example.

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Chicago
Khatab, A., El-Houssaine Aghezzaf, C. Diallo, and U. Venkatadri. 2018. “Condition-based Selective Maintenance for Multicomponent Systems Under Environmental and Energy Considerations.” In 2018 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEE IEEM) , 212–216. IEEE.
APA
Khatab, A., Aghezzaf, E.-H., Diallo, C., & Venkatadri, U. (2018). Condition-based selective maintenance for multicomponent systems under environmental and energy considerations. 2018 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEE IEEM) (pp. 212–216). Presented at the IEEE International Conference on Industrial Engineering and Engineering Management (IEEE IEEM) , IEEE.
Vancouver
1.
Khatab A, Aghezzaf E-H, Diallo C, Venkatadri U. Condition-based selective maintenance for multicomponent systems under environmental and energy considerations. 2018 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEE IEEM) . IEEE; 2018. p. 212–6.
MLA
Khatab, A. et al. “Condition-based Selective Maintenance for Multicomponent Systems Under Environmental and Energy Considerations.” 2018 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEE IEEM) . IEEE, 2018. 212–216. Print.
@inproceedings{8611992,
  abstract     = {This work develops a new variant of selective maintenance (SM) optimization model for multicomponent systems running multiple alternating sequences of missions and breaks. A component deteriorates randomly and fails when the corresponding failure threshold is exceeded. Components' failures impact the quality of the environment and increase the energy consumption. Thus, failures induce penalty costs. Improving the system reliability during the following mission is achieved by performing maintenance activities on its elements during the breaks. A condition-based SM optimization problem (CBSMP)is developed to minimize the total expected cost subject to the limited break durations and required reliability for the next mission. A model's solution determines an optimal SM plan which minimize the total expected cost resulting from inspection, maintenance, and costs due to impact of components' failures on the environment and energy requirements. The proposed approach is tested on a numerical example.},
  author       = {Khatab, A. and Aghezzaf, El-Houssaine and Diallo, C. and Venkatadri, U.},
  booktitle    = {2018 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEE IEEM) },
  isbn         = {9781538667866},
  issn         = {2157-3611 },
  language     = {eng},
  location     = {Bangkok, THAILAND},
  pages        = {212--216},
  publisher    = {IEEE},
  title        = {Condition-based selective maintenance for multicomponent systems under environmental and energy considerations},
  url          = {http://dx.doi.org/10.1109/ieem.2018.8607501},
  year         = {2018},
}

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