Research Article
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Year 2024, , 7 - 14, 26.02.2024
https://doi.org/10.30518/jav.1403284

Abstract

References

  • Airbus, Global Market Forecast 2019-2038. Technical report, Airbus, 2019. Available online: https://www.airbus.com/aircraft/market/global-market-forecast.html (accessed on 12.10.2020).
  • Aircraft Maintenance Manual (AMM) of Airbus A320, Flight Data Recording Parameter Library (FDRPL), Airbus, (2004).
  • Aircraft Maintenance Manual 737-300/400/500. - Seattle, Washington, USA: Boeing Commercial Airplanes group, (1999).
  • Altuntas, O. and Karakoc, T.H. Investigation of the environmental concern in aircraft selection for domestic flights in some Turkish airports. Journal of Aeronautics and Space Technologies 2011, 5(1), 11-18.
  • Altuntas, O. Calculation of domestic flight-caused global warming potential from aircraft emissions in Turkish airports. International Journal of Global Warming 2014, 6(4), 367-379.
  • Altuntas, O. Lead emissions from the use of leaded avgas in Turkey. Aircraft Engineering and Aerospace Technology, 2021, 93(3), 493-501.
  • Altuntas, O., Karakoc, T.H. and Hepbaşlı, A. Investigation of environmental impact caused by aircraft engines. International Journal of Global Warming 2013, 5(3), 282-295.
  • Altuntas, O., Sohret, Y. and Karakoc, T.H. Fundamentals of Sustainability. In Sustainable Aviation, 1st ed.; Karakoc, T.H., Colpan, C.O., Altuntas, O., Sohret, Y.; Springer: Springer Nature Switzerland AG, 2019; ISBN: 978-3- 030-14195-0. pp.3-5.
  • Atak, A. and Kingma, S. Safety culture in an Aircraft Maintenance Organization: A View from the Inside. Safety Science 2011, 49, 268-278.
  • Boeing, Commercial Market Outlook, 2019-2038. Technical report, Boeing, 2019. Available online: https://www.boeing.com/commercial/market/commercial-market-outlook/ (accessed on 23.10.2020).
  • Ceruti, A., Marzocca, P., Liverani, A., and Bil, C. (2019), Maintenance in aeronautics in an Industry 4.0 context: The role of Augmented Reality and Additive Manufacturing, Journal of Computational Design and Engineering, Vol. 6 No.4, pp.516-526.
  • Cleveland, C.J. Encyclopedia of Energy, Elsevier Academic Press, USA, 2004.
  • Crocker, D., Dictionary of Aviation, A & C Black, London, 2007.
  • Dekker, R. and Scarf, P. A. On the impact of optimization models in maintenance decision making: the state of the art. Reliability Engineering & System Safety 1998, 60(2), 111-119.
  • Dijkstra, M. C., Kroon, L. G., Salomon, M., van Nunen, J. A. and van Wassenhove, L. N. Planning the Size and Organization of KLM's Aircraft Maintenance Personnel. Interfaces 1994, 24(6), 47-58.
  • Ezhilarasu, C. M., Skaf, Z., and Jennions, I. K. (2019), The application of reasoning to aerospace Integrated Vehicle Health Management (IVHM): Challenges and opportunities, Progress in Aerospace Sciences, Vol. 105, pp.60-73.
  • Fang, L. and Zhaodong, H. System Dynamics Based Simulation Approach on Corrective Maintenance Cost of Aviation Equipments. Procedia Engineering 2015, 99, 150-155.
  • Fedotova, A., Taratoukhine, V., Ovsyannikov, M., and Becker, J. (2013), Implementation of constraints satisfaction problems methods for solving the periodic maintenance processes scheduling, IFAC Proceedings Volumes, Vol. 46 No. 9, pp.341-346.
  • Friend, C. H. Aircraft Maintenance Management. Longman Group UK. Ltd., United Kingdom, 1992.
  • Goedkoop, M. and Spriensma, R. The Eco-indicator 99—a damage-oriented method for life cycle assessment. Methodology Report, PRé Consultants B.V, 2000.
  • Gopalan, R. The Aircraft Maintenance Base Location Problem. European Journal of Operational Research 2014, 236, 634-642.
  • Gray, D. A. Airworthy: Decision Support for Aircraft Overhaul Maintenance Planning, OR/MS Today 1992, 24-29.
  • Iwata, C., and Mavris, D. (2013), Object-oriented discrete event simulation modeling environment for aerospace vehicle maintenance and logistics process, Procedia Computer Science, Vol. 16, pp.187-196.
  • Kafali, H. and Altuntas, O. The analysis of emission values from commercial flights at Dalaman international airport Turkey, Aircraft Engineering and Aerospace Technology 2020, 92-10,1451-1457
  • Kafalı, H. and Tunca, E. Importance of Maintenance Planning in Aircraft Maintenance. International Engineering and Natural Sciences Conference (IENSC 2019), Dicle University, Diyarbakır, Turkey, 6-8 November 2019.
  • Kala, M., Lalis, A. and Vojtech, T. Analyzing Aircraft Maintenance Findings with Natural Language Processing, Transportation Research Procedia, 2022, 65, 238-245.
  • Keivanpour S. and Kadi, D.A. A Sustainable Approach to Aircraft Engine Maintenance. International Federation of Automatic Control (IFAC) 2015, 48-3, 977-982.
  • Kinnison- H. A. and Siddiqui, T. Aviation Maintenance Management, McGraw-Hill Companies Inc., USA, 2013.
  • Knotts, R.M.H.., Civil aircraft maintenance and support fault diagnosis from a business perspective. Journal of Quality in Maintenance Engineering 1999, 5- 4, 335-348.
  • Lestiani, M.E., Yudoko, G. and Purboyo, Y. Developing a Conceptual Model of Organiztional Safety Risk: Case Studies of Aircraft Maintenance Organizations in Indonesia. Transportation Research Procedia 2017, 25, 136- 148.
  • Lin, L., Lou, B. and Zhong, S. Development and Application of Maintenance Decision Making Support System for Aircraft Fleet. Advances in Engineering Software, 2017, 000, 1-16.
  • Ma, H.L., Sun, Y., Chung, S.H., and Chan, H.K. (2022), Tackling uncertainties in aircraft maintenance routing: A review of emerging Technologies, Transportation Research Part E: Logistics and Transportation Review, Vol. 164, pp.102805.
  • Mascle, C., Baptiste, P., Sainte Beuve, D., and Camelot, A. (2015). Process for advanced management and technologies of aircraft EOL. Procedia CIRP, 26, 299-304.
  • Muchiri, K.A. Maintenance Planning Optimization for the Boeing 737 Next Generation, M.Sc. thesis, Delft University of Technology, Delft, NL, 2002.
  • Papakoustas, N., Papachatakis, P., Xanthakis, V., Mourtzis, D. and Chryssolouris, G. An Approach to Operational Aircraft Maintenance Planning. Decision Support Systems 2010, 48,604-612.
  • Pintelon, L. and Muchiri, P.N. Safety and Maintenance, In Handbook of Maintenance Management and Engineering, Ben-Daya, M., Duffuaa, S.O., Raouf, A., Knezevic, J., Ait-Kadi, D., Springer-Verlag London Limited: UK, 2009; pp. 613-646.
  • PRéConsultant (2019). SimaPro Software, version 7.3, PRé Consultants, (https://simapro.com/).
  • Saltzman, R. M., and Stern, H. I. (2022), The multi-day aircraft maintenance routing problem, Journal of Air Transport Management, Vol. 102, pp.102224.
  • Sanderson, D., Turner, A., Shires, E., Chaplin, J.C., and Ratchev, S. (2020), Implementing large-scale aerospace assembly 4.0 demonstration systems, IFAC-PapersOnLine, Vol. 53 No.2, pp.10267-10274.
  • Saranga, H. and Kumar, U. D. Optimization of Aircraft Maintenance/Support Infrastructure Using Genetic Algorithms Level of Repair Analysis. Annals of Operations Research 2006, 143(1), 91-106.
  • Shanmugam, A. and Robert, T.P. Ranking of Aircraft Maintence Organization Based on Human Factor Performance, Computer and Industrial Engineering 2015, 88, 410-416.
  • Shaukat, S., Katscher, M., Wu, C.L., Delgado, F., and Larrain, H. (2020), Aircraft line maintenance scheduling and optimisation, Journal of Air Transport Management, Vol. 89, pp. 101914.
  • Sürekli Uçuşa Elverişlilik ve Bakım Sorumluluğu Talimatı (SHT-M Rev.03), Ankara: Directiorate General of Civil Aviation (DGCA), 2018.
  • Tanaka, Y., Nagai, S., Ushida, M. and Usui, T. Large Engine Maintenance Technique to Support Flight Operation for Commercial Airlines. Mitsubishi Heavy Industries Technical Review 2003, 40(2), 5-6.
  • US Environmental Protection Agency, EPA Office of Compliance Sector Notebook Project: Air Transportation Industry, 1998. Available online: http://purl.access.gpo.gov/GPO/LPS645
  • van Rijn, C. F. H., van Aken, J. A., Smit, A. C. J. M. Emma, A Maintenance Manning Assessment Tool. In Proceedings 3rd. EsReDa Seminar on Equipment Ageing and Maintenance 1992, 1, 14-15.
  • Verhoeff, M., Verhagen, W.J.C., and Curran, R. (2015), Maximizing operational readiness in military aviation by optimizing flight and maintenance planning, Transportation Research Procedia, Vol. 10, pp.941-950.
  • Wang, Y., Gogu, C., Binaud, N., Bes, C., Haftka, T.T. and Kim, N.H. A Cost Driven Predictive Maintenance Policy for Structural Airframe Maintenance. Chinese Journal of Aeronautics 2017, 30, 1242-1257.
  • Wen, X., Sun, X., Ma, H. and Sun, Y. A Column Generation Approach for Operational Flight Scheduling and Aircraft Maintenance Routing, Journal of Air Transport Management 2022, 105, 1-11.
  • Witteman, M., Deng, Q., and Santos, B. F. (2021). A bin packing approach to solve the aircraft maintenance task allocation problem. European Journal of Operational Research, 294(1), 365-376.
  • Yadav, D.K. Licensing and Recognition of the Aircraft Maintenance Engineers – A Comparative Study. Journal of Air Transport Management 2010, 16, 272-278.
  • Yang, Z. and Yang, G.; Optimization of Aircraft Maintenance Plan Based on Genetic Algorithm. Physics Procedia 2012, 33, 580-586.
  • Yu, J. and Gulliver, S. Improving aircraft maintenance, repair, and overhaul: A novel text mining approach. International Conference on Intelligent Computing and Intelligent Systems, Guangzhou, China, 2011.
  • Yu, T., Zhu, C., Chang, Q., and Wang, J. (2019), Imperfect corrective maintenance scheduling for energy efficient manufacturing systems through online task allocation method, Journal of Manufacturing Systems, Vol. 53, pp.282-290.

Assessing the Environmental Impact of Aircraft Maintenance

Year 2024, , 7 - 14, 26.02.2024
https://doi.org/10.30518/jav.1403284

Abstract

This study intends to investigate the maintenance of the sample aircraft under C-check with the environmental impact approach. With this research, maintenance of both aircraft types is divided into related subsystems and total process hours are determined in man-hours. Thus, it is aimed to show that environmental impacts should be taken into consideration in maintenance planning. The environmental effects that occur during aircraft maintenance operations are analysed. Environmental impact analysis, a basic life cycle analysis, is conducted under ISO 14044. Impacts (Impact on Human Health, Impact on Ecosystem Quality Impact and Resources Impact) have been calculated according to the Eco-Indicator99 database using SimaPro, which is the Life Cycle Analysis program. In the light of all results, it is seen that the C-check for Boeing 737 has a significant negative impact on the resources, ecosystem quality, and human health especially in all ATA100 categories.

References

  • Airbus, Global Market Forecast 2019-2038. Technical report, Airbus, 2019. Available online: https://www.airbus.com/aircraft/market/global-market-forecast.html (accessed on 12.10.2020).
  • Aircraft Maintenance Manual (AMM) of Airbus A320, Flight Data Recording Parameter Library (FDRPL), Airbus, (2004).
  • Aircraft Maintenance Manual 737-300/400/500. - Seattle, Washington, USA: Boeing Commercial Airplanes group, (1999).
  • Altuntas, O. and Karakoc, T.H. Investigation of the environmental concern in aircraft selection for domestic flights in some Turkish airports. Journal of Aeronautics and Space Technologies 2011, 5(1), 11-18.
  • Altuntas, O. Calculation of domestic flight-caused global warming potential from aircraft emissions in Turkish airports. International Journal of Global Warming 2014, 6(4), 367-379.
  • Altuntas, O. Lead emissions from the use of leaded avgas in Turkey. Aircraft Engineering and Aerospace Technology, 2021, 93(3), 493-501.
  • Altuntas, O., Karakoc, T.H. and Hepbaşlı, A. Investigation of environmental impact caused by aircraft engines. International Journal of Global Warming 2013, 5(3), 282-295.
  • Altuntas, O., Sohret, Y. and Karakoc, T.H. Fundamentals of Sustainability. In Sustainable Aviation, 1st ed.; Karakoc, T.H., Colpan, C.O., Altuntas, O., Sohret, Y.; Springer: Springer Nature Switzerland AG, 2019; ISBN: 978-3- 030-14195-0. pp.3-5.
  • Atak, A. and Kingma, S. Safety culture in an Aircraft Maintenance Organization: A View from the Inside. Safety Science 2011, 49, 268-278.
  • Boeing, Commercial Market Outlook, 2019-2038. Technical report, Boeing, 2019. Available online: https://www.boeing.com/commercial/market/commercial-market-outlook/ (accessed on 23.10.2020).
  • Ceruti, A., Marzocca, P., Liverani, A., and Bil, C. (2019), Maintenance in aeronautics in an Industry 4.0 context: The role of Augmented Reality and Additive Manufacturing, Journal of Computational Design and Engineering, Vol. 6 No.4, pp.516-526.
  • Cleveland, C.J. Encyclopedia of Energy, Elsevier Academic Press, USA, 2004.
  • Crocker, D., Dictionary of Aviation, A & C Black, London, 2007.
  • Dekker, R. and Scarf, P. A. On the impact of optimization models in maintenance decision making: the state of the art. Reliability Engineering & System Safety 1998, 60(2), 111-119.
  • Dijkstra, M. C., Kroon, L. G., Salomon, M., van Nunen, J. A. and van Wassenhove, L. N. Planning the Size and Organization of KLM's Aircraft Maintenance Personnel. Interfaces 1994, 24(6), 47-58.
  • Ezhilarasu, C. M., Skaf, Z., and Jennions, I. K. (2019), The application of reasoning to aerospace Integrated Vehicle Health Management (IVHM): Challenges and opportunities, Progress in Aerospace Sciences, Vol. 105, pp.60-73.
  • Fang, L. and Zhaodong, H. System Dynamics Based Simulation Approach on Corrective Maintenance Cost of Aviation Equipments. Procedia Engineering 2015, 99, 150-155.
  • Fedotova, A., Taratoukhine, V., Ovsyannikov, M., and Becker, J. (2013), Implementation of constraints satisfaction problems methods for solving the periodic maintenance processes scheduling, IFAC Proceedings Volumes, Vol. 46 No. 9, pp.341-346.
  • Friend, C. H. Aircraft Maintenance Management. Longman Group UK. Ltd., United Kingdom, 1992.
  • Goedkoop, M. and Spriensma, R. The Eco-indicator 99—a damage-oriented method for life cycle assessment. Methodology Report, PRé Consultants B.V, 2000.
  • Gopalan, R. The Aircraft Maintenance Base Location Problem. European Journal of Operational Research 2014, 236, 634-642.
  • Gray, D. A. Airworthy: Decision Support for Aircraft Overhaul Maintenance Planning, OR/MS Today 1992, 24-29.
  • Iwata, C., and Mavris, D. (2013), Object-oriented discrete event simulation modeling environment for aerospace vehicle maintenance and logistics process, Procedia Computer Science, Vol. 16, pp.187-196.
  • Kafali, H. and Altuntas, O. The analysis of emission values from commercial flights at Dalaman international airport Turkey, Aircraft Engineering and Aerospace Technology 2020, 92-10,1451-1457
  • Kafalı, H. and Tunca, E. Importance of Maintenance Planning in Aircraft Maintenance. International Engineering and Natural Sciences Conference (IENSC 2019), Dicle University, Diyarbakır, Turkey, 6-8 November 2019.
  • Kala, M., Lalis, A. and Vojtech, T. Analyzing Aircraft Maintenance Findings with Natural Language Processing, Transportation Research Procedia, 2022, 65, 238-245.
  • Keivanpour S. and Kadi, D.A. A Sustainable Approach to Aircraft Engine Maintenance. International Federation of Automatic Control (IFAC) 2015, 48-3, 977-982.
  • Kinnison- H. A. and Siddiqui, T. Aviation Maintenance Management, McGraw-Hill Companies Inc., USA, 2013.
  • Knotts, R.M.H.., Civil aircraft maintenance and support fault diagnosis from a business perspective. Journal of Quality in Maintenance Engineering 1999, 5- 4, 335-348.
  • Lestiani, M.E., Yudoko, G. and Purboyo, Y. Developing a Conceptual Model of Organiztional Safety Risk: Case Studies of Aircraft Maintenance Organizations in Indonesia. Transportation Research Procedia 2017, 25, 136- 148.
  • Lin, L., Lou, B. and Zhong, S. Development and Application of Maintenance Decision Making Support System for Aircraft Fleet. Advances in Engineering Software, 2017, 000, 1-16.
  • Ma, H.L., Sun, Y., Chung, S.H., and Chan, H.K. (2022), Tackling uncertainties in aircraft maintenance routing: A review of emerging Technologies, Transportation Research Part E: Logistics and Transportation Review, Vol. 164, pp.102805.
  • Mascle, C., Baptiste, P., Sainte Beuve, D., and Camelot, A. (2015). Process for advanced management and technologies of aircraft EOL. Procedia CIRP, 26, 299-304.
  • Muchiri, K.A. Maintenance Planning Optimization for the Boeing 737 Next Generation, M.Sc. thesis, Delft University of Technology, Delft, NL, 2002.
  • Papakoustas, N., Papachatakis, P., Xanthakis, V., Mourtzis, D. and Chryssolouris, G. An Approach to Operational Aircraft Maintenance Planning. Decision Support Systems 2010, 48,604-612.
  • Pintelon, L. and Muchiri, P.N. Safety and Maintenance, In Handbook of Maintenance Management and Engineering, Ben-Daya, M., Duffuaa, S.O., Raouf, A., Knezevic, J., Ait-Kadi, D., Springer-Verlag London Limited: UK, 2009; pp. 613-646.
  • PRéConsultant (2019). SimaPro Software, version 7.3, PRé Consultants, (https://simapro.com/).
  • Saltzman, R. M., and Stern, H. I. (2022), The multi-day aircraft maintenance routing problem, Journal of Air Transport Management, Vol. 102, pp.102224.
  • Sanderson, D., Turner, A., Shires, E., Chaplin, J.C., and Ratchev, S. (2020), Implementing large-scale aerospace assembly 4.0 demonstration systems, IFAC-PapersOnLine, Vol. 53 No.2, pp.10267-10274.
  • Saranga, H. and Kumar, U. D. Optimization of Aircraft Maintenance/Support Infrastructure Using Genetic Algorithms Level of Repair Analysis. Annals of Operations Research 2006, 143(1), 91-106.
  • Shanmugam, A. and Robert, T.P. Ranking of Aircraft Maintence Organization Based on Human Factor Performance, Computer and Industrial Engineering 2015, 88, 410-416.
  • Shaukat, S., Katscher, M., Wu, C.L., Delgado, F., and Larrain, H. (2020), Aircraft line maintenance scheduling and optimisation, Journal of Air Transport Management, Vol. 89, pp. 101914.
  • Sürekli Uçuşa Elverişlilik ve Bakım Sorumluluğu Talimatı (SHT-M Rev.03), Ankara: Directiorate General of Civil Aviation (DGCA), 2018.
  • Tanaka, Y., Nagai, S., Ushida, M. and Usui, T. Large Engine Maintenance Technique to Support Flight Operation for Commercial Airlines. Mitsubishi Heavy Industries Technical Review 2003, 40(2), 5-6.
  • US Environmental Protection Agency, EPA Office of Compliance Sector Notebook Project: Air Transportation Industry, 1998. Available online: http://purl.access.gpo.gov/GPO/LPS645
  • van Rijn, C. F. H., van Aken, J. A., Smit, A. C. J. M. Emma, A Maintenance Manning Assessment Tool. In Proceedings 3rd. EsReDa Seminar on Equipment Ageing and Maintenance 1992, 1, 14-15.
  • Verhoeff, M., Verhagen, W.J.C., and Curran, R. (2015), Maximizing operational readiness in military aviation by optimizing flight and maintenance planning, Transportation Research Procedia, Vol. 10, pp.941-950.
  • Wang, Y., Gogu, C., Binaud, N., Bes, C., Haftka, T.T. and Kim, N.H. A Cost Driven Predictive Maintenance Policy for Structural Airframe Maintenance. Chinese Journal of Aeronautics 2017, 30, 1242-1257.
  • Wen, X., Sun, X., Ma, H. and Sun, Y. A Column Generation Approach for Operational Flight Scheduling and Aircraft Maintenance Routing, Journal of Air Transport Management 2022, 105, 1-11.
  • Witteman, M., Deng, Q., and Santos, B. F. (2021). A bin packing approach to solve the aircraft maintenance task allocation problem. European Journal of Operational Research, 294(1), 365-376.
  • Yadav, D.K. Licensing and Recognition of the Aircraft Maintenance Engineers – A Comparative Study. Journal of Air Transport Management 2010, 16, 272-278.
  • Yang, Z. and Yang, G.; Optimization of Aircraft Maintenance Plan Based on Genetic Algorithm. Physics Procedia 2012, 33, 580-586.
  • Yu, J. and Gulliver, S. Improving aircraft maintenance, repair, and overhaul: A novel text mining approach. International Conference on Intelligent Computing and Intelligent Systems, Guangzhou, China, 2011.
  • Yu, T., Zhu, C., Chang, Q., and Wang, J. (2019), Imperfect corrective maintenance scheduling for energy efficient manufacturing systems through online task allocation method, Journal of Manufacturing Systems, Vol. 53, pp.282-290.
There are 54 citations in total.

Details

Primary Language English
Subjects Air-Space Transportation
Journal Section Research Articles
Authors

Haşim Kafalı 0000-0002-7740-202X

Early Pub Date February 22, 2024
Publication Date February 26, 2024
Submission Date December 11, 2023
Acceptance Date February 8, 2024
Published in Issue Year 2024

Cite

APA Kafalı, H. (2024). Assessing the Environmental Impact of Aircraft Maintenance. Journal of Aviation, 8(1), 7-14. https://doi.org/10.30518/jav.1403284

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