Camci, Fatih and Medjaher, Kamal and Atamuradov, Vepa and Berdinyazov, Ashyrmuhammet
Integrated maintenance and mission planning using remaining useful life information.
(2018)
Engineering Optimization. ISSN 0305-215X
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(Document in English)
PDF (Author's version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader 381kB |
Official URL: https://doi.org/10.1080/0305215X.2018.1552951
Abstract
The modern world requires high reliability and availability with minimum ownership cost for complex industrial systems (high-value assets). Maintenance and mission planning are two major interrelated tasks affecting availability and ownership cost. Both tasks play critical roles in cost savings and effective utilization of the assets, and cannot be performed without taking each other into consideration. Maintenance schedule may make an asset unavailable or too risky to use for a mission. Mission type and duration affect the health of the system, which affects the maintenance schedule. This article presents a mathematical formulation for integrated maintenance and mission planning for a fleet of high-value assets, using their current and forecast health information. An illustrative example for a fleet of unmanned aerial vehicles is demonstrated and evolutionary-based solutions are presented.
Item Type: | Article |
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HAL Id: | hal-02053275 |
Audience (journal): | International peer-reviewed journal |
Uncontrolled Keywords: | |
Institution: | Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE) Other partners > Amazon Inc. (USA) Other partners > Assystem (FRANCE) Other partners > Halk Hazyna ES (TURKMENISTAN) |
Laboratory name: | |
Statistics: | download |
Deposited On: | 13 Feb 2019 14:15 |
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