An Integrated Logistics Model of Spare Parts Maintenance Planning within the Aviation Industry
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.
[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.
[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.
@article{"International Journal of Business, Human and Social Sciences:58044", author = "Roy Fritzsche and Rainer Lasch", title = "An Integrated Logistics Model of Spare Parts Maintenance Planning within the Aviation Industry", 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.", volume = "6", number = "8", pages = "2203-10", }
