Aircraft Maintenance Planning & Control

Session: TA10
Date/Time: Tuesday 08:00-09:30
Type: Sponsored
Sponsor: INFORMS Section on Aviation Applications
Track:
Cluster:
Room: Cherokee
Chair: Eric E. Yang
Chair Address: Delta Air Lines, Inc., Dept. 017, PO Box 20706, Atlanta, GA 30320-6001,
Chair E-mail:

TA10.1 Optimization of Jet Engine Turbine Blade Maintenance Haran Boral, Arie Dubi, Henry Harel --- Clockwork Designs, Inc., 3925 W Braker Ln., Ste. 411, Austin, TX 78795-5321, (haran@mesquite.com)
Turbine blades expected life is normally distributed, accounting for¨ operating frequency and temperature. Engine removal and maintenance¨ are characterized by Weibull and normal distributions.¨ Traditionally, engine removal governed blade replacement frequency.¨ We describe a predictive maintenance model of turbine blade removals¨ that yielded considerable life cycle cost saving.

TA10.2 Determining Aircraft Spare Part Inventory Levels & Allocations Matthew J. Brown --- United Airlines, Inc., World Headquarters WHQKB, PO Box 66100, Chicago, IL 60666 , (mjbrown@ual.com)
United Airlines services its aircraft at stations/airports¨ worldwide, and owns millions of dollars of spare parts. We describe¨ an algorithm to determine how many spare parts to own and how to¨ allocate these to maintenance stations so as to minimize total¨ inventory holding cost plus shortage cost.

TA10.3 Integrated Diagnostic System: An Innovative Concept for Aircraft Diagnostic Laura Logan --- Air Canada, Air Canada Ctr., Zip 045, PO Box 9000, St.-Laurent, Quebec, , Canada H4Y 1H4
Air Canada has been engaged during the last 2 years, together with¨ the National Research Council and GE Aircraft Engines Division in an¨ R&D initiative to develop a comprehensive real time aircraft¨ diagnostic system. The strategy to establish the best entry point,¨ as well as the best usage for such a system will be reviewed¨ together with targeted benefits...

TA10.4 Engine Maintenance Capacity Planning Using Simulation Robert Gatland, Kenneth Buxton, Eric E. Yang --- Delta Air Lines, Inc., Dept. 223, PO Box 20706, Atlanta, GA 30320-6001, (bob.gatland@mailport.delta-air.com)
We address how the entry of particular engines into the repair cycle¨ affect WIP, product turntime, delivery time and customer¨ satisfaction. Developing a simulation model to test potential¨ assembly inputs can determine the effects a particular engine will¨ have on all engines and their parts in repair.


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