An Integrated Logistics Model of Spare Parts Maintenance Planning within the Aviation Industry
Commenced in January 2007
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An Integrated Logistics Model of Spare Parts Maintenance Planning within the Aviation Industry

Authors: Roy Fritzsche, Rainer Lasch

Abstract:

Avoidable unscheduled maintenance events and unnecessary spare parts deliveries are mostly caused by an incorrect choice of the underlying maintenance strategy. For a faster and more efficient supply of spare parts for aircrafts of an airline we examine options for improving the underlying logistics network integrated in an existing aviation industry network. This paper presents a dynamic prediction model as decision support for maintenance method selection considering requirements of an entire flight network. The objective is to guarantee a high supply of spare parts by an optimal interaction of various network levels and thus to reduce unscheduled maintenance events and minimize total costs. By using a prognostics-based preventive maintenance strategy unscheduled component failures are avoided for an increase in availability and reliability of the entire system. The model is intended for use in an aviation company that utilizes a structured planning process based on collected failures data of components.

Keywords: Aviation industry, Prognosis, Reliability, Preventive maintenance.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1071890

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References:


[1] P. Ayeni, T. Baines, H. Lightfoot and P. Ball, "State-of-the-art of "Lean" in the aviation maintenance, repair, and overhaul industry", Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 225 (11), SAGE Publications, 2011, pp. 2108-2123.
[2] F. Barahona and D. Jensen, "Plant location with minimum inventory", Mathematical Programming 83 (1-3), 1998, pp. 101-111.
[3] P. Batchoun, A. Ferland Jacques and R. Clroux, "Allotment of aircraft spare parts using genetic algorithms", Pesquisa Operacional 23 (1), 2003, pp. 141-159.
[4] M. F. Candas and E. Kutanoglu, "Benefits of considering inventory in service parts logistics network design problems with time-based service constraints", IIE Transactions 39 (2), 2007, pp. 159-176.
[5] O. Candell, R. Karim and P. S¨oderholm, "eMaintenance-information logistics for maintenance support", Robotics and Computer-Integrated Manufactoring 25 (6), 18th International Conference on Flexible Automation and Intelligent Manufactoring, 2009, pp. 937-944.
[6] P. F. Cini and P. Griffith, "Designing for MFOP: towards the autonomous aircraft", Journal of Quality in Maintenance Engineering 5 (4), 1999, pp. 296-308.
[7] J. F. Cordeau, F. Pasin and M. M. Solomon, "An integrated model for logistics network design", Annals of Operations Research 144 (1), 2006, pp. 59-82.
[8] M. S. Daskin, "Network and discrete location: Models, Algorithms, and Applications", Wiley, New York, USA, 1995.
[9] M. S. Daskin, C. R. Coullard and Z. J. M Shen, "An inventory-location model: Formulation, solution algorithm and computational results.", Annals of Operations Research 110 (1-4), 2002, pp. 83-106.
[10] R. Dekker, C. Plinge, R. Zuldwijk and M. Jalil, "On the use of installed base information for spare parts logistics: A review of ideas and industry practice", International Journal of Production Economics, 2012.
[11] H. Ewe, M. T. Melo and P. Savant, "A milp model to optimise the logistics network configuration for the maintenance of turboshaft engines", 2007.
[12] G. J. Feeney and C. C. Sherbrooke, "The (S-1,S) inventory policy under compound poisson demand", Management Science 12 (5), 1966, pp. 391-411.
[13] R. Fritzsche, "Cost adjustment for single item pooling models using a dynamic failure rate: A calculation for the aircraft industry", Transport. Res. Part E., 2012.
[14] H. Fromm, "Bewertung innovativer Instandhaltungsszenarien in den fr¨uhen Phasen des Innovationsprozesses in der Luftfahrt", Shaker Verlag, Aachen, Germany, 2009.
[15] S. Garg, A. Puliafito, M. Telek and K. Trivedi, "Analysis of preventive maintenance in transactions based software systems", IEEE Transactions on Computers 47 (1), 1998, pp. 96-107.
[16] M. Gen, R. Cheng and L. Lin, "Network Models and Optimization", Springer Verlag, London, England, 2008.
[17] A. Gosavi, "Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning", Kluwer Academic publisher, Norwell, USA, 2003.
[18] V. Jeet, E. Kutanoglu and A. Partani, "Logistics network design with inventory stocking for low-demand parts: Modeling and optimization", IIE Transactions 41 (5), 2009, pp. 389-407.
[19] M. Kaviani, "Location-Inventory Problem", Physica Verlag, Berlin/Heidelberg, Germany 2009.
[20] W. J. Kennedy, J. Wayne Patterson and L. D. Fredendall, "An overview of recent literature on spare parts inventories", International Journal of production economics 76 (2), 2002, pp. 201-215.
[21] U. D. Kumar, "New trends in aircraft reliability and maintenance measures", Journal of Quality in Maintenance Engineering 5 (4), 1999, pp. 287-295.
[22] E. Kutanoglu and D. Lohiya, "Integrated inventory and transportation mode selection: A service parts logistics system", Transportation Research Part E: Logistics and Transportation Review 44 (5), 2008, pp. 665-683.
[23] L. H. Lee, E. P. Chew, S. Teng and Y. Chen, "Multi-objective simulation-based evolutionary algorithm for an aircraft spare parts allocation problem", European Journal of Operational Research 189 (2), 2008, pp. 476-491.
[24] S. Lee, Y.S. Ma, G.L. Thimm and J. Verstraeten, "Product life cycle management in aviation mainenance, repair and overhaul", Computers in Industry 59 (2-3), 2008, pp. 296-303.
[25] J. Luna, P. Kolodziejski, N. Frankle, D. C. Conroy and R. Shroder, "Strategies For Optimizing The Application Of Prognostic Health Management To Complex Systems", Computers in Industry 59 (2-3), 2008, pp. 296-303.
[26] M. Marseguerra, E. Zio and L. Podofillini, "Multiobjective spare part allocation by means of genetic algorithms and Monte Carlo simulation", Reliability Engineering & System Safety 87 (3), 2005, pp. 325-335.
[27] J. A. Muckstadt, "Analysis and algorithms for service parts supply chains", New York, USA, 2005.
[28] L. K. Nozick and M. A. Turnquist, "Inventory, transportation, service quality and the location of distribution centers", European Journal of Operational Research 129 (2), 2001, pp. 362-371.
[29] N. Papakostas, P. Papachatzakis, V. Xanthakis and D. Mourtzis, "An approach to operational aircraft maintenance planning", European Journal of Operational Research 199 (3), 2009, pp. 781-792.
[30] C. Paterson, G. Kiesm¨uller, R. Teunter and K. Glazebrook, "Inventory models with lateral transshipments: A review", European Journal of Operational Research 210, 2011, pp. 125-136.
[31] J. A. Rappold and B. D. Van Roo, "Designing multi-echelon service parts networks with finite repair capacity", Microelectronics Reliability 47 (12), 2007, pp. 1899-1901.
[32] M. M. Relf, "Maintenance-free operating periods - the designerÔÇÿs challenge", Quality and Reliability Engineering International 15 (2), 1999, pp. 111-116.
[33] P. A. Sandborn and C. Wilkinson, "A maintenance planning and business case development model for the application of prognostics and health management (PHM) to electronic systems", Microelectronics Reliability 47 (12), 2007, pp. 1899-1901.
[34] Z. J. M Shen, C. Coullard and M. S. Daskin, "A joint locationinventory model", Transportation Science 37(1), 2003, pp. 40-55.
[35] C. C. Sherbrooke, "Vari-metric:Improved approximations for multiindenture, multi-echelon availability models", Operations Research 34 (2), 1986, pp. 311-319.
[36] C. C. Sherbrooke, "Optimal inventory modeling of systems multiechelon techniques", Kluwer Academic Publisher, Boston, 2004.
[37] P. Siarry, "Advances in metaheuristics for hard optimization", Springer Verlag, Berlin/Heidelberg, Germany 2008.
[38] J. Z. Sikorska, M. Hodkiewicz and L. Ma, "Prognostic modelling options for remaining useful life estimation by industry", Mechanical Systems and Signal Processing 25 (5), 2011, pp. 1803-1836.
[39] A. Smith and G. Hinchcliffe, "RCM: gateway to world class maintenance", Butterworth-Heinemann, 2007.
[40] L. V. Snyder, M. S. Daskin and C. P. Teo, "The stochastic location model with risk pooling", European Journal of Operational Research 179 (3), 2007, pp. 1221-1238.
[41] K. Sourirajan, L. Ozsen and R. Uzsoy, "A genetic algorithm for a single product network design model with lead time and safety stock considerations", European Journal of Operational Research 197 (2), 2009, pp. 599-608.
[42] G. C. Stone and R. G. Van Heeswijk, "Parameter estimation for the Weibull distribution", IEEE Transactions on Electrical Insulation 12 (4), 1977, pp. 253-261.
[43] A. Van Horenbeek, L. Pintelon and P. Muchiri, "Maintenance optimization models and criteria", International Journal of Systems Assurance Engineering and Management 1 (3), 2010, pp. 189-200.
[44] L. Wang, J. Chu and J. Wu, "Selection of optimum maintenance strategies based on a fuzzy analytic hierarchy process", International Journal of Production Economics 107 (1), 2007, pp. 151-163.
[45] K. Wheeler, T. Kurtoglu and S. Poll, "A survey of health managment in aviation industry", Prognostics and System Health Management Conference (PHM Shenzhen), 2010.
[46] H. Wong, G. J. Van Houtum, D. Cattrysse and D. Van Oudheusden, "Stocking decisions for repairable spare parts pooling in a multi-hub system", International Journal of Production Economics 93-94 (1), 2005, pp. 309-317.
[47] P. H. Zipkin, "Foundations of inventory management", McGraw Hill, Boston, USA, 2000.