Email this article Optimization of Aircraft Maintenance Process
Abstract
This paper examines and analytically reviews maintenance process with the aim of enhancing maintenance of aircrafts in order to meet the demands of passengers on manufacturers and airline operators to design good aircrafts with pushed out maintenance schedules which are fast, efficient and reliable for safety purpose. As a result of the increasing number of aircrafts in operation, the rate of maintenance activities increases. Hereby making customers require more in respect to the minimization of the maintenance service lead time. The objective of this work is to investigate optimization process of aircrafts maintenance. The aim of the optimization process is to minimize total make span time. Based on the analysis carried out and the result obtained from simulating the maintenance of oil pressure sensor, DIT-10, it was found that the maintenance service lead time can be reduced by changing the structure and order of the maintenance process.
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B. Fahriza., A. Shuib, and W.M.W. Mohamed,“Issues and Challenges of Aviation Maintenance Repair and Overhaul in Southeast Asia,” Proceedings of the International Conference on Industrial Engineering and Operations Management Harbin, China, July 9-11, 2021.
Q. Deng., B.F. Santos., and R. Curran, “A practical dynamic programming based methodology for aircraft maintenance check scheduling optimization” European Journal of Operational Research, 281(2), pp.256-273, 2020.
Q. Deng., B. F. Santos, and W. J. Verhagen,“A novel decision support system for optimizing aircraft maintenance check schedule and task allocation” Decision Support Systems, 146, p.113545. 2021
M. Witteman., Q. Deng., and B. F. Santos, “A bin packing approach to solve the aircraft maintenance task allocation problem” European Journal of Operational Research, 294(1), pp.365-376, 2021
E.C. Chijioke,“Fresh insight on economic and socioeconomic determinants of air travel demand in Nigeria,” International Journal of Social Sciences and Scientific Studies, 1(4), pp.157-194, 2021
S. A. S. Airbus, “Global Market Forecast: The Future of Flying,” Airbus 2006
A. Gavranis., and G. Kozanidis. An exact solution algorithm for maximizing the fleet availability of a unit of aircraft subject to flight and maintenance requirements. European Journal of Operational Research, 242(2), pp.631-643, 2015
M. Verhoeff., W.J.C.Verhagen, and R.Curran, “Maximizing operational readiness in military aviation by optimizing flight and maintenance planning,” Transportation Research Procedia, 10, pp.941-950.2015
V. S. Murugesan., S. K. Jauhar and A. H. Sequeira, “Applying simulation in lean service to enhance the operational system in Indian postal service industry,” Annals of Operations Research, 315(2), pp.993-1017 2022
S. AbouRizk., S. Hague., R. Ekyalimpa., and S. Newstead, “Simphony: A next generation simulation modelling environment for the construction domain,” Journal of Simulation, 10(3), pp.207-215, 2016
A. Greasley “Simulating business processes for descriptive, predictive, and prescriptive analytics. In Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics,” de Gruyter 2019.
B. Bentalha., A. Hmioui, and L. Alla, “The global performance of a service supply chain: a simulation-optimization under arena,” In The Proceedings of the Third International Conference on Smart City Applications (pp. 489-502). Springer, Cham.October 2020.
W. D. Kelton “Simulation with ARENA,”McGraw-hill.2002
V. Borodin., J. Bourtembourg., F. Hnaien, and N. Labadie,“COTS software integration for simulation optimization coupling: case of ARENA and CPLEX products,” International Journal of Modelling and Simulation, 39(3), pp.178-189.2019
M. I. Baumer-Cardoso., L. M. Campos., P. P. P. Santos., and E. M. Frazzon, “Simulation-based analysis of catalyzers and trade-offs in Lean & Green manufacturing,” Journal of Cleaner Production, 242, p.118411. 2020
V. Balasubramanian., T. T. Narendran., and V. Sai Praveen, “RBG risk scale: an integrated tool for ergonomic risk assessments” International Journal of Industrial and Systems Engineering, 8(1), pp.104-116, 2011
F. Cavdur., B. Yagmahan., E. Oguzcan., N. Arslan., and N. Sahan “Lean service system design: a simulation-based VSM case study. Business Process Management Journal. 2018
S. Langhans.,F. Linke., P. Nolte, and H. Schnieder, “System analysis for future long-range operation concepts. In 27th Congress of the International Council of the Aeronautical Sciences (ICAS) (pp. 19-24). September, 2010
G. Kozanidis., G. Liberopoulos., and C. Pitsilkas“Flight and maintenance planning of military aircraft for maximum fleet availability,” Military Operations Research, pp.53-73, 2010
G. Kozanidis., A. Gavranis, and E. Kostarelou,“Mixed integer least squares optimization for flight and maintenance planning of mission aircraft”. Naval Research Logistics (NRL), 59(3‐4), pp.212-229. 2012
S. Singamneni., L. V. Yifan., A. Hewitt., R. Chalk., W. Thomas., D. Jordison., “Additive manufacturing for the aircraft industry: a review,” J. Aeronaut. Aerosp. Eng, 8(1), pp.351-371, 2019
S. M. O. Tavares., and P. M. S. T. De Castro., “An overview of fatigue in aircraft structures. Fatigue & Fracture of Engineering Materials & Structures”, 40(10), pp.1510-1529 2017
S. M. Tavares, and P. M. De Castro, “Damage tolerance of metallic aircraft structures: materials and numerical modelling” Berlin/Heidelberg, Germany: Springer 2019
S. M. O. Tavares., and P. M. S. T. de Castro., “Fatigue crack growth of aircraft structures: sensitivity to materials parameters” Int. J. Terraspace Sci. Eng, 6(2), pp.71-75. 2014
European Aviation Safety Agency, “Certification Specifications and Acceptable Means of Compliance for Large Aeroplanes CS-25”. 2019
P. C. Miedlar., A. P. Berens., A. Gunderson., and J. P. Gallagher, “USAF damage tolerant design handbook: guidelines for the analysis and design of damage tolerant aircraft structures,” University of Dayton Research Institute, Dayton, OH. 2002
U. Burger., and L. Rochat., “Aspects of damage tolerance and fatigue of CFRP structural components”. In Sustainable Automotive Technologies (pp. 149-162). Springer, Cham. 2014
G. Cardeal., K. Höse., I. Ribeiro., and U. Götze, “Sustainable business models–canvas for sustainability, evaluation method, and their application to additive manufacturing in aircraft maintenance”. Sustainability, 12(21), p.9130, 2020.
M. Urban., M. Klemm, K. O. Ploetner., and M. Hornung., “Airline categorisation by applying the business model canvas and clustering algorithms” Journal of Air Transport Management, 71, pp.175-192, 2018
S. A. S. Airbus., “Aircraft characteristics airport and maintenance planning,” Airbus SAS Prancis. 2005
Novichkov, Nikolai (2 December 2014). "Russia completes initial An-124 upgrade programme". janes.com. Archived from the original on 19 October 2015. Retrieved 5 July 2015
J. Van den Bergh., P. De Bruecker., J. Beliën., and J. Peeters., “Aircraft maintenance operations: state of the art,” HUB Research Paper 2013/09.
W. J. Hopp., and Y. L. Kuo., “Heuristics for multicomponent joint replacement: Applications to aircraft engine maintenance,” Naval Research Logistics (NRL), 45(5), pp.435-458. 1998
R. Cobb., “Modeling aircraft repair turntime: Simulation supports maintenance marketing efforts,” Journal of Air Transport Management, 2(1), pp.25-32. 1995
M. P. Kleeman., and G. B. Lamont., “Solving the aircraft engine maintenance scheduling problem using a multi-objective evolutionary algorithm”. In International Conference on Evolutionary Multi-Criterion Optimization (pp. 782-796). Springer, Berlin, Heidelberg. March, 2005
T. Almgren., N. Andréasson., M. Patriksson., A. B. Strömberg., A. Wojciechowski., and M. Önnheim., “The opportunistic replacement problem: theoretical analyses and numerical tests,“ Mathematical Methods of Operations Research, 76(3), pp.289-319, 2012
D. C. Dietz., and M. Rosenshine., “Optimal specialization of a maintenance workforce,” IIE transactions, 29(5), pp.423-433, 1997
N. Safaei., D. Banjevic., and A. K. Jardine., “Workforce-constrained maintenance scheduling for military aircraft fleet: a case study,” Annals of Operations Research, 186(1), pp.295-316, 2011
G. Quan., G. W. Greenwood., D. Liu., and S. Hu., “Searching for multiobjective preventive maintenance schedules: Combining preferences with evolutionary algorithms,” European Journal of Operational Research, 177(3), pp.1969-1984, 2007
W. El Moudani., and F. Mora-Camino., “A dynamic approach for aircraft assignment and maintenance scheduling by airlines,” Journal of Air Transport Management, 6(4), pp.233-237, 2000
C. Vanbuskirk., B. Dawant., G. Karsai., J. Sprinkle., G. Szokoli., and R. Currer, “Computer-aided aircraft maintenance scheduling,” 2002
M. A. Bajestani., and J. C. Beck., “Scheduling an aircraft repair shop. In Twenty-First International Conference on Automated Planning and Scheduling,” March 2011
A. Gavranis., and G. Kozanidis., An exact solution algorithm for maximizing the fleet availability of a unit of aircraft subject to flight and maintenance requirements. European Journal of Operational Research, 242(2), pp.631-643, 2015
G. Kozanidis., A. Gavranis., and E. Kostarelou, “Mixed integer least squares optimization for flight and maintenance planning of mission aircraft,” Naval Research Logistics (NRL), 59(3‐4), pp.212-229, 2012
G. Kozanidis., A. Gavranis., and G. Liberopoulos., “Heuristics for flight and maintenance planning of mission aircraft”. Annals of Operations Research, 221(1), pp.211-238, 2014
G. Kozanidis., G., Liberopoulos., C. and Pitsilkas., “Flight and maintenance planning of military aircraft for maximum fleet availability”. Military Operations Research, pp.53-73, 2010
T. A. Feo., and J. F. Bard., “Flight scheduling and maintenance base planning,” Management Science, 35(12), pp.1415-1432, 1989
A. Mohammed, B. G. Ibrahim, M. O. Momoh, K. P. Ter, A. O. Adetifa and D. A. Oluwole “Challenges of Ground Control System in Ensuring Safe Flights for Unmanned Aerial Vehicle” Mekatronika VOL. 4, ISSUE 1, 8 – 19 January 2022
M. O. Momoh, K. O. Shobowale, Z. M. Abubakar, B. Yahaya & Y. Ibrahim. “Blockchain Adoption in Aviation: Opportunities and Challenges” International Journal of Electrical Engineering and Computing, Vol. 6, No. 2 (2022), pp.92-97.
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