Aircraft operators maintenance decisions supporting method

• Autorzy: Szrama Sławomir , Gill Adrian

Identyfikatory

DOI

10.5604/01.3001.0015.0466

• Języki publikacji: EN

Abstrakty

EN

A key element of exploitation processes constitutes maintenance operations and tasks. While being conducted in the proper way, they have a crucial effect on achieving the assumed by aircraft designer and operator goals. Properly conducted maintenance operations allow to meet all the technical objects readiness requirements as well as to achieve desired acceptable risk level. Maintenance system effectiveness might be generally a crucial task for company or entity responsible for the maintenance. In this context, particularly relevant become technical object maintenance procedures and tasks developed by their manufacturers. Experience of the article authors quite early shows the need of the maintenance programmes modification. Aircraft manufacturers usually are not so eager to develop and implement maintenance programme modifications. Presented situation is very much the case in aviation transport. This was the reason why authors of this article decided to prepare and develop this elaboration which might constitute the assistance and supports complex technical objects users in maintenance decision. The main purpose of this article is to present maintenance decisions’ supporting method for the aircraft operators. This article provides guidelines which include a description of risk in the context of aviation maintenance and introduction of some methodologies, tools and criteria that support identification, analysis and evaluation of risk. Authors included idea, how the aircraft preventive maintenance could be used to mitigate aircraft failure risk during flight operations. It also shows how to adopt and develop effective maintenance program using tools for adequate risk analysis, optimal interval assignments, and selection of the most effective maintenance task. Authors presented methodology and described steps of the logic diagram analysis for the aircraft systems and their components, in order to manage and adopt aircraft maintenance program to fulfil aircraft airworthiness requirements and operational availability. The whole methodology was described on the basis of the F 16 aircraft maintenance system and with reference to the maintenance data. This article might also constitute an introduction to the aircraft maintenance programme development method.

Słowa kluczowe

EN

aircraft; exploitation processes; MSG-3; Risk Based Maintenance; RBM; preventive maintenance

PL

samolot; procesy eksploatacyjne; MSG; konserwacja; RBM; konserwacja zapobiegawcza

• Wydawca: Warsaw University of Technology, Faculty of Transport
• Czasopismo: Archives of Transport
• Rocznik: 2021
• Tom: Vol. 59, iss. 3
• Strony: 93--111
• Opis fizyczny: Bibliogr. 59 poz., rys., tab.

Twórcy

autor

Szrama Sławomir

• 31st Tactical Air Force Base Poznan-Krzesiny, Poznan, Poland

• https://orcid.org/0000-0003-0729-071X

autor

Gill Adrian

• Faculty of Civil and Transport Engineering, Poznan University of Technology, Poznan, Poland

• https://orcid.org/0000-0002-2655-4584

Bibliografia

• [1] ABDUL, H., ASIF, R. S., QADEER, A., FAISAL, K., SALIM, A., 2019. A decision support tool for bi-objective risk-based maintenance scheduling of an LNG gas sweetening unit. Journal of Quality in Maintenance Engineering, 25(1), 65-89. https://doi.org/10.1108/JQME-04-2017-0027.
• [2] AIR TRANSPORT ASSOCIATION OF AMERICA. ATA MSG-3. Operator/Manufacturer Scheduled Maintenance Development, 2007. USA, Pennsylvania.
• [3] AMBÜHL, S., DALSGAARD SØRENSEN, J., 2017. Sensitivity of Risk-Based Maintenance 108 Szrama, S., Gill, A., Archives of Transport, 59(3), 93-111, 2021 Planning of Offshore Wind Turbine Farms. Energies . https://doi.org/10.3390/en10040505.
• [4] ARZAGHI, E., ABAEI, M. M., ABBASSI, R., GARANIYA, V., CHIN, C., KHAN, F., 2017. Risk-based maintenance planning of subsea pipelines through fatigue crack growth monitoring. Engineering Failure Analysis, 79, 928-939. https://doi.org/https://doi.org/10.1016/j.engfail anal.2017.06.003.
• [5] AUST, J., PONS, D., 2019. Bowtie Methodology for Risk Analysis of Visual Borescope Inspection during Aircraft Engine Maintenance. Aerospace . https://doi.org/10.3390/aerospace6100110.
• [6] AYSE, K. Y., 2019. Strategic approach to managing human factors risk in aircraft maintenance organization: risk mapping. Aircraft Engineering and Aerospace Technology, 91(4), 654–668. https://doi.org/10.1108/AEAT-06-2018-0160.
• [7] CHENG, M.-Y., CHIU, Y.-F., CHIU, C.-K., PRAYOGO, D., WU, Y.-W., HSU, Z.-L., LIN, C.-H., 2019. Risk-based maintenance strategy for deteriorating bridges using a hybrid computational intelligence technique: a case study. Structure and Infrastructure Engineering, 15(3), 334–350. https://doi.org/10.1080/1573.2479.2018.1547767.
• [8] CIVIL AVIATION SAFETY AUTHORITY. Airworthiness Bulletins, AWB 02-1, Issue 1 - On-condition maintenance, 2001.
• [9] CONSILVIO, A., DI FEBBRARO, A., SACCO, N., 2016. Stochastic Scheduling Approach for Predictive Risk-Based Railway Maintenance. 2016 IEEE International Conference on Intelligent Rail Transportation (Icirt), 197–203.
• [10] CULLUM, J., BINNS, J., LONSDALE, M., ABBASSI, R., GARANIYA, V., 2018. Risk-Based Maintenance Scheduling with application to naval vessels and ships. Ocean Engineering, 148, 476–485. /https://doi.org/10.1016/j.oceaneng.2017.11.044.
• [11] DEPARTMENT OF DEFENSE., 2012. Department of Defense Standard Practice - System Safety (MIL‐STD‐882E).
• [12] DEPARTMENT OF THE AIR FORCE - HEADQUARTERS AIR FORCE SAFETY CENTER., 2020. Safety Investigation and Hazard Reporting AFI 91-204.
• [13] EUROPEAN COMMISSION. COMMISSION REGULATION (EU) No 1321/2014 on the continuing airworthiness of aircraft and aeronautical products, parts and appliances, and on the approval of organisations and personnel involved in these tasks, 2014.
• [14] FAA, 2009. Risk Management Handbook (FAA-H-8083-2). Federal Aviation Administration, U.S. Department of Transportation. Retrieved from http://www.faa.gov/library/manuals/aviation/.
• [15] GILL, A., 2017. Optimisation of the technical object maintenance system taking account of risk analysis results. Eksploatacja i Niezawodność - Maintenance and Reliability, 19(3), 420–431. https://doi.org/10.17531/ein.2017.3.13.
• [16] HALADUICK, S., DANN, M. R., 2017. Risk-Based Maintenance Planning for Deteriorating Pressure Vessels With Multiple Defects. Journal of Pressure Vessel Technology, 139(4). https://doi.org/10.1115/1.4036428.
• [17] ICAO, 2018. Safety Management Manual (Doc 9859) (Fourth Edi). Quebec: International Civil Aviation Organization.
• [18] KADZIŃSKI, A., 2013. Studium wybranych aspektów niezawodności systemów oraz obiektów pojazdów szynowych [Study on selected dependability aspects of systems and rail vehicles objects]. Poznań: Wydawnictwo Politechniki Poznańskiej.
• [19] KAEWUNRUEN, S., SRESAKOOLCHAI, J., MA, W., PHIL-EBOSIE, O., 2021. Digital Twin Aided Vulnerability Assessment and Risk-Based Maintenance Planning of Bridge Infrastructures Exposed to Extreme Conditions. Sustainability. https://doi.org/10.3390/su13042051.
• [20] KHAN, F. I., HADDARA, M. R., 2004. Risk-based maintenance of ethylene oxide production facilities. Journal of Hazardous Materials, 108(3), 147-159. http://dx.doi.org/10.1016/j.jhazmat.2004.01.011.
• [21] KUMAR, U., GRANHOLM, S., 1990. Reliability centred maintenance: a tool for higher profitability. Maintenance, 5(3), 23-26.
• [22] LEE, J., MITICI, M., 2020. An integrated assessment of safety and efficiency of aircraft maintenance strategies using agent-based modelling and stochastic Petri nets. Reliability Engineering and System Safety, 202(May), 107052. https://doi.org/10.1016/j.ress.2020.107052.
• [23] LEONI, L., BAHOOTOROODY, A., DE CARLO, F., PALTRINIERI, N., 2019. Developing a risk-based maintenance model for a Natural Gas Regulating and Metering Station using Bayesian Network. Journal of Loss Prevention in the Process Industries, 57, 17–24. https://doi.org/10.1016 /j.jlp.2018.11.003.
• [24] LOCKHEED MARTIN CORPORATION, 2018. Technical Manual PL16-16CJ-06 Work Unit Code Manual. Lockheed Martin Corporation.
• [25] LOCKHEED MARTIN CORPORATION, 2020. Technical Order PL1F-16CJ-6 Scheduled Inspections and Maintenance Requirements. Lockheed Martin Corporation.
• [26] MAKLAKOVS, J., TEREŠČENKO, J., ŠESTAKOVS, V., 2019. Risk Assessment of the Adverse Events in Air Transportation. Transport and Aerospace Engineering, 7(1), 5-13. https://doi.org/10.2478/tae-2019-0001.
• [27] MATUSEVYCH, O., KUZNETSOV, V., SYCHENKO, V., 2018. The method for increasing the efficiency of equipment’s maintenance in railway traction power supply systems. Archives of Transport, 47(3), 39-47. https://doi.org/10.5604/01.3001.0012.6506.
• [28] MŁYNARSKI, S., PILCH, R., SMOLNIK, M., SZYBKA, J., WIĄZANIA, G., 2020. A model of an adaptive strategy of preventive maintenance of complex technical objects. Eksploatacja i Niezawodność, 22(1), 35-41. https://doi.org/10.17531/ein.2020.1.5.
• [29] MODARRES, M., 2006. Risk analysis in engineering: techniques, tools, and trends. CRC press.
• [30] MOUBRAY, J., 2001. Reliability-centered maintenance. Industrial Press Inc.
• [31] NAVAL AIR SYSTEMS COMMAND. Management manual guidelines for the naval aviation reliability-centered maintenance (RCM) process, 2005. USA: Naval Air Systems Command (Navair 00-25-403).
• [32] NIELSEN, J. S., TCHERNIAK, D., ULRIKSEN, M. D., 2021. A case study on risk-based maintenance of wind turbine blades with structural health monitoring. Structure and Infrastructure Engineering, 17(3), 302-318. https://doi.org/10.1080/15732479.2020.1743326.
• [33] NOWLAN, F. S., HEAP, H. F., 1978. Reliability-centered maintenance. United Air Lines Inc San Francisco Ca.
• [34] PAMPLONA, D. A., ALVES, C. J. P., 2020. Does a fighter pilot live in the danger zone? A risk assessment applied to military aviation. Transportation Research Interdisciplinary Perspectives, 5, 100114. https://doi.org/10.1016 /j.trip.2020.100114.
• [35] PN-EN IEC 60812:2018-12., 2018. Failure mode and effect analysis (FMEA i FMECA). Polski Komitet Normalizacyjny.
• [36] POGAČNIK, B., DUHOVNIK, J., TAVČAR, J., 2017. Prognozowanie uszkodzeń statków powietrznych dla celów obsługi konserwacyjnej na podstawie ich parametrów oraz danych z eksploatacji. Eksploatacja i Niezawodność, 19(4), 624-633. https://doi.org/10.17531/ein.2017.4.17.
• [37] PUI, G., BHANDARI, J., ARZAGHI, E. BBASSI, R., GARANIYA, V., 2017. Risk-based maintenance of offshore managed pressure drilling (MPD) operation. Journal of Petroleum Science and Engineering, 159, 513-521. https://doi.org/https://doi.org/10.1016/j.petrol.2017.09.066.
• [38] RATNAYAKE, R. M. C., ANTOSZ, K., 2017. Development of a Risk Matrix and Extending the Risk-based Maintenance Analysis with Fuzzy Logic. Procedia Engineering, 182, 602-610. https://doi.org/https://doi.org/10.1016/j.proeng.2017.03.163.
• [39] RAUSAND, M., 1998. Reliability-Centered Maintenance. Reliability Engineering and System Safety, 60(2), 121-132.
• [40] RIOS INSUA, D., ALFARO, C., GOMEZ, J., HERNANDEZ-CORONADO, P., BERNAL, F., 2018. A framework for risk management decisions in aviation safety at state level. Reliability Engineering System Safety, 179, 74-82. https://doi.org/10.1016/j.ress.2016.12.002.
• [41] RUSIN, A., WOJACZEK, A., 2019. Improving the availability and lengthening the life of power unit elements through the use of risk-based maintenance planning. Energy, 180, 28-35. https://doi.org/https://doi.org/10.1016/j.energy.2019.05.079.
• [42] SAE, 1999. Evaluation Criteria for Reliability-Centered Maintenance (RCM) Processes JA1011_199908. The Engineering Society for Advancing Mobility Land Sea Air and Space.
• [43] SAE, 2002. A Guide to the Reliability-Centered Maintenance (RCM) Standard JA1012_200201.
• [44] SAMARANAYAKE, P., KIRIDENA, S., 2012. Aircraft maintenance planning and scheduling: An integrated framework. Journal of Quality in Maintenance Engineering, 18(4), 432-453. https://doi.org/10.1108/1355251121.1281598.
• [45] SECRETARY OF THE AIR FORCE, 2018.Technical Manual T.O.00-20-1 Aerospace Equipment Maintenance Inspections, Documentation, Policies and procedures. Retrieved from https://www.tinker.af.mil/Portals/106/Documents/Technical Orders/AFD-180615-00-20-1.pdf.
• [46] SHUKRI, S. A., MILLAR, R. M., GRATTON, G., GARNER, M., 2016. The potential risk of communication media in conveying critical information in the aircraft maintenance organisation: A case study. IOP Conference Series: Materials Science and Engineering, 152(1), 1–13. https://doi.org/10.1088/1757-899X/152/1/012044.
• [47] SKLET, S., 2006. Safety barriers: Definition, classification, and performance. Journal of Loss Prevention in the Process Industries,19(5), 494-506. https://doi.org/10.1016/j.jlp.2005.12.004.
• [48] STIPANOVIC, I., BUKHSH, Z. A., REALE, C., GAVIN, K., 2021. A Multiobjective Decision-Making Model for Risk-Based Maintenance Scheduling of Railway Earthworks. Applied Sciences. https://doi.org/10.3390/app11030965.
• [49] SZKODA, M., SATORA, M., KONIECZEK, Z., 2020. Effectiveness assessment of diesel locomotives operation with the use of mobile maintenance points. Archives of Transport, 54(2), 7–19. https://doi.org/10.5604/01.3001.0014.262.
• [50] TSAGKAS, V., NATHANAEL, D., MARMARAS, N., 2014. A pragmatic mapping of factors behind deviating acts in aircraft maintenance. Reliability Engineering System Safety, 130, 106–114. https://doi.org/10.1016/j.ress.2014.05.011.
• [51] UTOMI, E. A., FAH, T. K., 2020. Fuzzy Reliability and Risk-Based Maintenance of Buried Pipelines Using Multiobjective Optimization. Journal of Infrastructure Systems, 26(2), 4020008. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000537.
• [52] VALA, S., CHEMWENO, P., PINTELON, L., MUCHIRI, P., 2018. A risk-based maintenance approach for critical care medical devices: a case study application for a large hospital in a developing country. International Journal of System Assurance Engineering and Management, 9(5), 1217-1233. https://doi.org/10.1007/s13198-018-0705-1.
• [53] VINCOLI, J. W., 2014. Basic Guide to System Safety, Third Edition. John Wiley Sons Inc. https://doi.org/10.1002/9781118904589.
• [54] WANG, L., AN, M., QIN, Y., JIA, L., 2018. A Risk-Based Maintenance Decision-Making Approach for Railway Asset Management. International Journal of Software Engineering and Knowledge Engineering, 28(04), 453-483. https://doi.org/10.1142/S0218194018400065.
• [55] WARD, M., MCDONALD, N., MORRISON, R., GAYNOR, D., NUGENT, T., 2010. A performance improvement case study in aircraft maintenance and its implications for hazard identification. Ergonomics, 53(2), 247-267. https://doi.org/10.1080/00140130903194138.
• [56] YAZDI, M., NEDJATI, A., ABBASSI, R., 2019. Fuzzy dynamic risk-based maintenance investment optimization for offshore process facilities. Journal of Loss Prevention in the Process Industries, 57, 194-207. https://doi.org/10.1016/j.jlp.201.8.11.014.
• [57] YETER, B., GARBATOV, Y., GUEDES SOARES, C., 2020. Risk-based maintenance planning of offshore wind turbine farms. Reliability Engineering System Safety, 202, 107062. https://doi.org/10.1016/j.ress.2020.107062.
• [58] ZAREEI, M. R., IRANMANESH, M., 2018. Optimal Risk-Based Maintenance Planning of Ship Hull Structure. Journal of Marine Science and Application, 17(4), 603-624. https://doi.org/10.1007/s11804-018-00058-2.
• [59] ZIO, E., FAN, M., ZENG, Z., KANG, R., 2019. Application of reliability technologies in civil aviation: Lessons learnt and perspectives. Chinese Journal of Aeronautics, 32(1), 143-158. https://doi.org/10.1016/j.cja.2018.05.014.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).