PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2020 | z. 148 Contemporary management | 695--708
Tytuł artykułu

The Proposition of the Method Improving the Identify the Root of Problem

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: The aim of the work was to propose the integrated decision method with quality techniques to precision identify the root of the problem. Design/methodology/approach: The proposed method was integrated methods as the Ishikawa diagram, 5Why method and AHP method. An idea of the proposed method was improving the process of identifying the problem by using a new mixed-method, ie. after Ishikawa diagram the methods 5Why and AHP. Findings: It was demonstrated, that it is purposeful using the proposed mixed method (ie. qualitative and quantitative) to expand the horizon of identifying the root cause. Research limitations/implications: The limitation is the subjectivism of the entity using the method, which is revealed during assessing the causes of a problem. Therefore, future works will be based on the minimalization of subjectivism by using the fuzzy Saaty scale. Practical implications: The proposed method is a new approach to analyse different types of problems and support the process of solve decision problems. Therefore, this method can be practice in service and production enterprises to identify the root of product incompatibility. Social implications: Using the method allows improving the process of making the decision about causes of the problem, and limits the possibility of wrong decision about the source of the problem. Originality/value: The proposed method was used a new proposal of mixed-method, ie. it was used integrated the Ishikawa diagram, 5Why method and AHP method. The presented method is some kind of a new approach to identify the root of the problem. (original abstract)
Twórcy
  • Rzeszow University of Technology, Poland
  • Rzeszow University of Technology, Poland
Bibliografia
  • 1. Braglia, M., Frosolini, M., Gallo, M. (2017). SMED enhanced with 5-Whys Analysis to improve set-upreduction programs: the SWAN approach. International Journal Of Advanced Manufacturing Technology, 90, 5-8, pp. 1845-1855. doi: https://doi.org/ 10.1007/s00170-016-9477-4.
  • 2. Chokkalingam, B., Raja, V., Anburaj, J., Immanual, R., Dhineshkumar M. (2017). Investigation of shrinkage defect in castings by quantitative Ishikawa diagram. Archives Of Foundry Engineering, 17, 1, pp. 174-178.
  • 3. Horvathova, P., Copikova, A., Mokra, K. (2019). Methodology proposal of the creation of competency models and competency model for the position of a sales manager in an industrial organisation using the AHP method and Saaty's method of determining weights. Economic Research-Ekonomska Istrazivanja, 32, 1, pp. 2594-2613. doi: 10.1080/ 1331677X.2019.1653780.
  • 4. Iwanejko, R., Rybicki, S. (2008). Praktyczne aspekty stosowania metody heirarchicznego wyboru AHP w zagadnieniach zaopatrzenia w wodę. XX Jubileuszkowa-Krajowa, VIII międzynarodowa Konferencja Naukowo-Techniczna "Zaopatrzenie w wodę, jakość i ochrona wód", Polska.
  • 5. Kawalec, P. (2014). Metody mieszane w kontekście procesu badawczego w naukoznawstwie. Zagadnienia Naukoznawstwa, 1, 199, pp. 1-22.
  • 6. Lindhard, S. (2014). Applying the 5 WHYs to Identify Root Causes to Non-completions in On-Site Construction. In Lecture Notes in Production Engineering, Conference: 7th World Conference on Mass Customization, Personalization, and Co-Creation (MCPC), Denmark, pp. 51-61.
  • 7. Liu, K., Wang, Y., Lin, L. et al. (2017). An Analysis of Impact Factors for Positioning Performance in WLAN Fingerprinting Systems Using Ishikawa Diagrams and a Simulation Platform. Mobile Information Systems, pp. 1-20. doi: 10.1155/2017/8294248.
  • 8. Luca, L. (2016). A new model of Ishikawa diagram for quality assessment. IOP Conf. Series: Materials Science and Engineering, 161, pp. 1-6, doi:10.1088/1757- 899X/161/1/012099.
  • 9. Meyer, V.R. (2003). Measurement uncertainty of liquid chromatographic analyses visualized by Ishikawa diagrams. Journal Of Chromatographic Science, 41, 8, pp. 439-443. doi: 10.1093/chromsci/41.8.439.
  • 10. Molina-Azorin, J.F. (2016). Mixed methods research: An opportunity to improve our studies and our research skills. European Journal of Management and Business Economics, 25, 2, pp. 37-38. doi: 10.1016/j.redeen.2016.05.001.
  • 11. Pacana, A., Czerwińska, K., Siwiec, D. (2018). Narzędzia i wybrane metody zarządzania jakością. Teoria i praktyka. Oficyna Częstochowa: Wydawnicza Stowarzyszenia Menedżerów Jakości i Produkcji.
  • 12. Pacana, A., Siwiec, D., Bednarova, L. (2019). Analysis of the incompatibility of the product with fluorescent method. Metalurgija, 58, 3-4, pp. 337-340.
  • 13. Pacana, A., Siwiec, D., Bednárová, L., Hajduová, Z. (2019). The selected methods of quality management used for the evaluation of label printing. Przemysł Chemiczny, 98, 1, pp. 110-112. doi: 10.15199/62.2019.1.17.
  • 14. Pacana, A., Siwiec, D., Bednárowá, L., Hajduová, Z. (2019). Wybrane metody zarządzania jakością stosowane do oceny druku etykiet. Przemysł Chemiczny, 98, 1, pp. 110-112. doi: 10.15199/62.2019.1.17.
  • 15. Saaty, T.L. (2007). Time dependent decision-making; dynamic priorities in the AHP/ANP: Generalizing from points to functions and from real to complex variables. Mathematical And Computer Modelling, 46, 7-8, pp. 860-891. doi: 10.1016/j.mcm.2007.03.028.
  • 16. Shin, D.G., Lee, S.I., Son, K.S. (2015). Countermeasure for construction machinery produced using 5Why technique. International Journal of Engineering and Technology, 7, 4, pp. 1478-1486.
  • 17. Shorten, A., Smith, J. (2017). Mixed methods research: expanding the evidence base. Evid Based Nurs, 20, 3, pp. 74-75. doi: http://dx.doi.org/10.1136/eb-2017-102699.
  • 18. Silva, D., Viana, S., Ferreira, B. et al. (2019). Causes and Solution Strategies for Hanseniasis in Children: Ishikawa Diagram. Revista De Pesquisa-Cuidado E Fundamental Online, 11, 3, pp. 739-747. doi: 10.9789/2175-5361.2019.v11i3.739-747.
  • 19. Siwiec, D., Bednárowá, L., Pacana, A., Zawada, M., Rusko, M. (2019). Wspomaganie decyzji w procesie doboru penetrantów fluorescencyjnych do przemysłowych badań nieniszczących. Przemysł Chemiczny, 98, 10, pp. 1594-1596. doi: 10.15199/62.2019.10.12.
  • 20. Siwiec, D., Bednárowá, L., Pacana, A. (2020). Metoda doboru penetrantów dla przemysłowych badań nieniszczących. Przemysł Chemiczny, 99, 5, pp. 771-773. doi: 10.15199/62.2020.5.18.
  • 21. Stoltmann, A. (2016). Application of AHP Method for Comparing the Criteria Used in Locating Wind Farms. Acta Energetica, 3, 28, pp. 144-149. doi: 10.12736/issn.2300- 3022.2016313.
  • 22. Stone, D.J., Alexandrov, B.T., Penso, J.A. (2018). Alloy Composition and Critical Temperatures in Type 410 Steel Welds. Welding Journal, 97, 10, pp. 286S-300S. doi: 10.29391/2018.97.025.
  • 23. Ulewicz, R. (2003). Quality Control System in Production of the Castings from Spheroid Cast Iron. Metalurgija, 42, 1, pp. 61-63.
  • 24. Uszczelnienie mechaniczne. Available online https://www.aesseal.com/pl/resources/ academy/czym-jest-uszczelnienie-mechaniczne, 28.04.2020.
  • 25. Wykorzystanie komputerowego wspomagania w zakresie metody 5Why w przemyśle. Available online http://www.ptzp.org.pl/files/konferencje/kzz/artyk_pdf_2011/116.pdf, 28.04.2020.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171608111

Zgłoszenie zostało wysłane

Zgłoszenie zostało wysłane

Musisz być zalogowany aby pisać komentarze.
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.