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“Optimization of aircraft maintenance/support infrastructure using genetic algorithms—level of repair analysis”

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  • Haritha Saranga
  • U. Kumar

Abstract

Level of repair analysis (LORA) is an approach used during the design stage of complex equipment for analysis of the cost effectiveness of competing maintenance strategies. LORA is carried as a part of the life cycle cost and cost of ownership analysis and plays a significant role in minimizing the life cycle cost and cost of ownership of the capital equipment. Since many purchasing decisions of complex equipment are based on cost of ownership, it has become essential to carry out LORA to compete in the market. In this paper, we develop a mathematical model for LORA and propose a solution methodology based on genetic algorithms. The concept is illustrated using a hypothetical aircraft engine. Copyright Springer Science + Business Media, Inc. 2006

Suggested Citation

  • Haritha Saranga & U. Kumar, 2006. "“Optimization of aircraft maintenance/support infrastructure using genetic algorithms—level of repair analysis”," Annals of Operations Research, Springer, vol. 143(1), pages 91-106, March.
    • Handle: RePEc:spr:annopr:v:143:y:2006:i:1:p:91-106:10.1007/s10479-006-7374-1
    DOI: 10.1007/s10479-006-7374-1
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    References listed on IDEAS

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    1. Hatch, Melanie L. & Badinelli, Ralph D., 1999. "Concurrent optimization in designing for logistics support," European Journal of Operational Research, Elsevier, vol. 115(1), pages 77-97, May.
    2. Barros, Lilian & Riley, Michael, 2001. "A combinatorial approach to level of repair analysis," European Journal of Operational Research, Elsevier, vol. 129(2), pages 242-251, March.
    3. Sherif, Yosef S & Kolarik, William J, 1981. "Life cycle costing: Concept and practice," Omega, Elsevier, vol. 9(3), pages 287-296.
    4. Waeyenbergh, Geert & Pintelon, Liliane, 2002. "A framework for maintenance concept development," International Journal of Production Economics, Elsevier, vol. 77(3), pages 299-313, June.
    5. Degraeve, Zeger & Roodhooft, Filip, 1999. "Improving the efficiency of the purchasing process using total cost of ownership information: The case of heating electrodes at Cockerill Sambre S.A," European Journal of Operational Research, Elsevier, vol. 112(1), pages 42-53, January.
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    Cited by:

    1. R. Basten & M. Heijden & J. Schutten & E. Kutanoglu, 2015. "An approximate approach for the joint problem of level of repair analysis and spare parts stocking," Annals of Operations Research, Springer, vol. 224(1), pages 121-145, January.
    2. Izack Cohen & Morris A. Cohen & Elad Landau, 2017. "On sourcing and stocking policies in a two-echelon, multiple location, repairable parts supply chain," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(6), pages 617-629, June.
    3. Kurtuluş Barış Öner & Alan Scheller-Wolf & Geert-Jan van Houtum, 2013. "Redundancy Optimization for Critical Components in High-Availability Technical Systems," Operations Research, INFORMS, vol. 61(1), pages 244-264, February.
    4. R. Basten & J. Schutten & M. Heijden, 2009. "An efficient model formulation for level of repair analysis," Annals of Operations Research, Springer, vol. 172(1), pages 119-142, November.
    5. Erhun Özkan & Geert-Jan Houtum & Yasemin Serin, 2015. "A new approximate evaluation method for two-echelon inventory systems with emergency shipments," Annals of Operations Research, Springer, vol. 224(1), pages 147-169, January.
    6. Basten, R.J.I. & van der Heijden, M.C. & Schutten, J.M.J., 2011. "Practical extensions to a minimum cost flow model for level of repair analysis," European Journal of Operational Research, Elsevier, vol. 211(2), pages 333-342, June.

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