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Applying the Anticipatory Failure Determination at a Very Early Stage of a System’s Development: Overview and Case Study

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Anticipatory Failure Determination (AFD) is a tool used in the TRIZ (Theory of Inventive Problem Solving) methodology. This article introduces its concept and describes the process of AFD in different versions of the method. The article presents the application of the AFD method at a very early state of a system’s development, i.e. its concept formulation stage, which corresponds to a technology readiness level (TRL) equal to 2. The system under analysis is a set of devices used to reduce displacement ship hull resistance. The system was modelled using functional analysis. An analysis of system resources was then carried out. Possible direct, indirect, and accident-related failures were identified. A multi-criteria analysis of the causes of system failures was conducted from which the top 10 potential failures were selected. Observations were made on the applicability of AFD in respect to systems not yet implemented.
Rocznik
Strony
205--215
Opis fizyczny
Bibliogr. 35 poz., fig., tab.
Twórcy
autor
  • Maritime University of Szczecin, Poland
  • Maritime University of Szczecin, Poland
autor
  • ICG Training & Consulting, Netherlands
Bibliografia
  • 1. Altshuller, G., Zlotin, B., Zusman, A., Filatov, V. (1989). Poisk nowych idiej: ot ozarienijak tiechnołogii (Searching for New Ideas). Kiszeniew: Kartia Mołdowieniaske.
  • 2. AULIVE (2017). Product Inspiration. [online] AULIVE. Available at: http://www.productioninspiration.com/ [Accessed: 15 Jul. 2017].
  • 3. Bejger, A., Gawdzińska, K. (2011). Identification of Structural Defects of Metal Composite Castings with the Use of Elastic Waves. Archives of Metallurgy and Materials, Vol. 56, Issue 1, pp. 129-133, doi: 10.2478/v10172-011-0014-z.
  • 4. Biały, W. (2014). Innovative solutions in the overhaul of the main fan of the ventilation system in a mine. Scientific Journals of the Maritime University of Szczecin, Zeszyty Naukowe Akademii Morskiej w Szczecinie, 39(111), pp. 25-30.
  • 5. Boratyńska-Sala A. (2016). Banki „efektów” w teorii i praktyce TRIZ (Effectiveness of database in the theory and practice of TRIZ). Zarządzanie Przedsiębiorstwem, Vol. 19, nr 4, pp. 2-9.
  • 6. Cempel, C. (2013). Inżynieria kreatywności w projektowaniu innowacji. Radom – Poznań: ITE – PIB, pp. 131-157.
  • 7. Chybowski, L. (2017a). Sposób i układ minimalizacji oporu kadłuba i usuwania porostów wypornościowego statku wodnego (Method and system for minimization of hull resistance and removal of fouling covering displacement vessels). Patent application: P.423394, 09 Nov. 2017, Polish Patent Office.
  • 8. Chybowski, L. (2017b). The usage of the Miniature Dwarfs method in the improvement of passenger ship construction. Scientific Journals of the Maritime University of Szczecin, Zeszyty Naukowe Akademii Morskiej w Szczecinie, nr 51 (123), pp. 28-34, doi: 10.17402/227.
  • 9. Chybowski, L., Bejger, A., Gawdzińska, K. (2018). Application of Subversion Analysis in the Search for the Causes of Cracking in a Marine Engine Injector Nozzle. World Academy of Science, Engineering and Technology International Journal of Industrial and Manufacturing Engineering. Vol.12, No. 4, 2018, pp. 302-308.
  • 10. Chybowski, L., Gawdzińska, K., Przetakiewicz, W. (2017). AHP based multi-criteria function analysis as a TRIZ tool for complex technical systems (Ed. Valeri Souchkov) Proceedings of the 13th MATRIZ TRIZfest 2017 International Conference. September 14-16, 2017. Kraków, Poland. International TRIZ Association - MATRIZ, Knoxville 2017, pp. 31-45.
  • 11. Chybowski, L., Kuźniewski, B. (2016). Utilising water wave energy – technology profile. Scientific Journals of the Maritime University of Szczecin, Zeszyty Naukowe Akademii Morskiej w Szczecinie, 47(118), pp. 183-186, doi: 10.17402/167.
  • 12. Derlukiewicz, D., Ptak, M., Koziołek, S. (2016). Proactive Failure Prevention by Human-Machine Interface in Remote-Controlled Demolition Robots. Advances in Intelligent Systems and Computing, Volume 445, pp. 711-720.
  • 13. Gawdzińska, K., Chybowski, L., Przetakiewicz, W. (2016). Proper matrix-reinforcement bonding in cast metal matrix composites as a factor of their good quality. Archives of Civil and Mechanical Engineering, 16(3), pp. 553-563, doi: 10.1016/j.acme.2015.11.004.
  • 14. Howard ,T., J., Culley, S., J., Dekoninck, E., A. (2009). Stimulating Creativity: A More Practical Alternative to TRIZ. Proceedings of ICED 09 – the 17th International Conference on Engineering Design, Stanford University, Stanford, CA, Vol. 5, pp. 205-216, [online] Available at: https://www.designsociety.org/publication/28693/stimulating_creativity_a_more_practical_alternative_to_triz [Accessed: 02 Nov. 2017].
  • 15. Jensen, A., Aven, T. (2015a). Case studies on Hazard/threat identification – using different creative methods to support the Anticipatory Failure Determination approach. [online] Available at: http://www6.uis.no/ansatt/jensen/ [Accessed: 02 Feb. 2018].
  • 16. Jensen, A., Aven, T. (2015b). Hazard/threat identification—using different creative methods to suport the Anticipatory Failure Determination approach. Safety and Reliability of Complex Engineered Systems (Eds. L. Podofillini et al.). Proceedings of the 25th European Safety and Reliability Conference ESREL 2015, pp. 801-806.
  • 17. Jensen, A., Aven, T. (2015c). Using the AFD threat identification based approach to generate potential risk reduction measures – an example. [online] Available at: http://www6.uis.no/ansatt/jensen/ [Accessed: 02 Nov. 2017].
  • 18. Kaplan, S. (1997). Finding Failures before They Find Us: An Introduction to The Theory of Scenario Structuring and the Method of Anticipatory Failure Determination. Proceedings of the 9th Symposium on Quality Function Deployment, June, 1997.
  • 19. Kaplan, S., Visnepolschi, S., Zlotin, B., Zusman, A. (1999). New Tools for Failure and Risk analysis. Anticipatory Failure Determination® (AFD) and the Theory of Scenario Structuring. Detroit: Ideation International Inc.
  • 20. Mayer, O. (2017). Flexible lighting distribution on “party ships”. Scientific Journals of the Maritime University of Szczecin, Zeszyty Naukowe Akademii Morskiej w Szczecinie, 49(121), pp. 9-16, doi: 10.17402/195.
  • 21. Midor, K., Klimecka-Tatar, D., Chybowski, L. (2017). Innowacje w przemyśle – wybrane aspekty. (Innovations in the industry – selected issues). Gliwice: PA NOVA S.A..
  • 22. NASA (2017). Definition Of Technology Readiness Levels. [online] NASA website. Available at: https://esto.nasa.gov/files/TRL_definitions.pdf [Accessed: 27 Dec. 2017].
  • 23. Oxford Creativity (2017) TRIZ Effects Database. [online] Oxford Creativity. Available at: http://wbam2244.dns-systems.net//EDB_Welcome.php [Accessed: 15 Jul. 2017].
  • 24. Pajor, M., Marchelek, K., Powalka, B. (1999). Experimental verification of method of machine tool - cutting process system model reduction in face milling. Computational Methods and Experimental Measurements IX, pp. 503-512.
  • 25. Proseanic, V., Tananko, D., Visnepolschi, S. (2000). The experience of the Anticipatory Failure Determination (AFD) method applied to Hitching/Ringing Problems. TRIZCON2000, The Second Annual Altshuller Institute TRIZ Conference Proceedings, Nashua, 2000, pp. 119-126.
  • 26. Smith, L., R., Phadke, M., S. (2005). Some Thoughts about Problem Solving in a DMAIC Framework. Int. J. Six Sigma and Competitive Advantage, Vol. 1, No. 2, pp. 151-166.
  • 27. Souchkov, V., V. (2016). Anticipatory Failures analysis. Training Course. Module of MATRIZ Level 3 Certification Training. Enschede: ICG Training & Consulting.
  • 28. Sunday, E. (2014). Extension and Modification of Anticipatory Failure Determination Approach Based on I-TRIZ. M.S. Thesis supervised by T. Aven. University of Stavanger. [online] Available at: https://brage.bibsys.no/xmlui/handle/11250/223619 [Accessed: 02 Nov. 2017].
  • 29. Ungvari, S. (1999). The Anticipatory Failure Determination Fact Sheet. [online] TRIZ-Journal. Available at: http://www.metodolog.ru/triz-journal/archives/1999/10/a/index.htm [Accessed: 31 Sep. 2017].
  • 30. Visnepolschi, S. (2008). How to Deal with Failures (The Smart Way). Southfield: Ideation International Inc.
  • 31. Zaplata, I, Pajor, M. (2016). The Influence of Presumed Border Conditions on FEM Thermal Analysis Results Based on the Example of an LNG Tank Support Saddle. Advances in Mechanics: Theoretical, Computational and Interdisciplinary Issues, pp. 601-604.
  • 32. Zihui, W., Rong, C. (2010). Research of the Failure Cause Analysis and Solving Model Based on TRIZ& AFD. 2010 International Conference on Computer Design and Applications (ICCDA 2010), Vol. 5, pp. 617-620.
  • 33. Zlotin, B., Zusman, A. (1991). Rieszenije issledowatielskich zadacz (Solving All Scientific Problems). Kiszeniew: Kartia Mołdowieniaske.
  • 34. Zolkiewski, S. (2013). Vibrations of beams with a variable cross-section fixed on rotational rigid disks. Latin American Journal of Solids and Structures, Vol. 10, Issue 1, pp. 39-57.
  • 35. Zusman, A., Smith, L., R. (2016). I-TRIZ (Ideation TRIZ). In: The Innovation Tools Handbook, Volume 3: Creative Tools, Methods, and Techniques that Every Innovator Must Know (Ed. H. J. Harrington, F. Voehl). Boca Raton – London – New York: CRC Press, pp. 151-194.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c19cd12a-3bb6-40d6-8080-c1a43d71e59a
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