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Integrating the Results of Prognostics in Flight and Maintenance Planning

Javad Seif, PhD
Postdoctoral Research Associate
Reliability & Maintainability Center of UT
Friday, August 31, 2018
2:30-3:30pm JDT 410

Abstract:

Flight and maintenance planning (FMP) is the problem of deciding which available aircraft to fly and for how long, and which grounded aircraft to perform maintenance operations on in a group of aircraft that comprise a unit. The aim is to maximize the unit fleet availability over a multi-period planning horizon, while also ensuring that certain flight and maintenance requirements are satisfied. In this presentation, a generalized form of FMP is introduced. After an introduction on the significance, applications, and possible extensions of FMP, a mixed integer program that formally defines the problem will be presented. Next, an exact method for solving the deterministic version of the problem will be discussed. Prognostics is the science of predicting the remaining useful life of components and systems, which is a data-drive, predictive type of analytics. In the second half of the presentation, we will discuss how to integrate the results of readings from sensors, prognostics, and FMP.

Bio:

Javad Seif holds three degrees in Industrial Engineering (BSc, MSc, and PhD). He worked in industry between 2008 and 2014 where he designed, developed, and implemented industrial information systems, such as maintenance management (CMMS) and material requirements planning (MRP) for various companies. During his Master’s and PhD, he has worked on various problems in condition-based maintenance, production and maintenance scheduling, and asset replacement problems. His research works as a graduate student in the University of Tehran and University of Tennessee Space Institute (UTSI) has been published in ISE conference proceedings and research journals such as Computers and Operations Research. He has received a number of awards, including the Best Student Paper award in Construction Division at 2017 IISE Annual Conference. He has also obtained a Graduate Certificate in Reliability and Maintainability Engineering for which he has had additional training in data-centric analytics. Currently he works as a Postdoctoral Research Associate at the Reliability and Maintainability Center (RMC) of UT where he continues his research and helps setting up the new Factory and Future Labs in which cutting edge technologies for maintenance and reliability are integrated.

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