Integrated maintenance and mission planning using remaining useful life information. Issue 10 (3rd October 2019)

• Record Type: Journal Article
• Authors: Camci, Fatih; Medjaher, Kamal; Atamuradov, Vepa; Berdinyazov, Ashyrmuhammet
• Is Part Of: Engineering optimization. Volume 51:Issue 10(2019)
• Page Start: 1794
• Page End: 1809
• Publication Date: 2019-10-03
• Subjects: Maintenance scheduling -- mission scheduling -- prognostics -- evolutionary computation; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2018.1552951
• Languages: English
• ISSNs: 0305-215X

Abstract

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.