Identifying the source of the problem by using implemented the FAHP method in the selected quality management techniques

• Autorzy: Siwiec Dominika , Pacana Andrzej

Identyfikatory

DOI

10.30657/pea.2020.26.02

• Języki publikacji: EN

Abstrakty

EN

Making a complex analysis of the problem in order to identify the root of its occurrence, is the process burdened with the risk of uncertainty. This risk is in case of the quality analysis, in which the choice and making a decision is not confirmed by reliable information (number). This risk is in case of the quality analysis, in which the choice and making a decision is not confirmed by reliable information (number). But these techniques do not include the risk of uncertainty, so their sequence should be expanded about the appropriate method, to take this into account. It was considered beneficial to demonstrate that this method is the Fuzzy Analytic Hierarchy Process method (FAHP). The aim of the study to implement the FAHP method in the sequence of traditional quality management techniques (Ishikawa diagram and 5Why method) and proposition new, not practiced yet the method to complex analysis of the problem and identify the root of its root cause. The subject of the study was the furniture front, on which the incompatibility was identified (shortened foil). From the categories to which the potential causes of the inadequate foil were assigned, by using the Ishikawa diagram and the FAHP method in an integrated manner, were defined the most important categories (method and machine) in a precise (numerical) way. Next, using the same tools, the relationship between the potential causes was analysed and selected the main causes of the problem. Then, by using the 5Why method the root of the problem was defined (lack of the new machine and failure to comply with labor standards). The obtained results could differ depending on the subjectivity, however, the method itself proved to be effective and can be used to solve other types of the problem.

Słowa kluczowe

EN

Ishikawa diagram; FAHP; 5Why; incompatibility; quality management

PL

Fuzzy Analytic Hierarchy Process; FAHP; diagram Ishikawy; schemat Ishikawy; metoda 5Why; zarządzanie jakością

• Wydawca: Oficyna Wydawnicza Stowarzyszenia Menedżerów Jakości i Produkcji
• Czasopismo: Production Engineering Archives
• Rocznik: 2020
• Tom: Vol. 26, Iss. 1
• Strony: 5--10
• Opis fizyczny: Bibliogr. 17 poz., rys., tab.

Twórcy

autor

Siwiec Dominika

• Rzeszow University of Technology, The Faculty of Mechanical Engineering and Aeronautics al. Powstańców Warszawy 8, 35-959 Rzeszów, Poland

autor

Pacana Andrzej

• Rzeszow University of Technology, The Faculty of Mechanical Engineering and Aeronautics al. Powstańców Warszawy 8, 35-959 Rzeszów, Poland

Bibliografia

• 1. Babak, D.R., Turan, E.E., 2012. Selection of academic staff using the fuzzy analytic hierarchy proces (fahp): a pilot study. Tehnički vjesnik, 19(4), 923-929.
• 2. Bhanu, C.B., Amit, K.G., 2019. Sensitivity analysis of fuzzy-analytic hierarchical process (FAHP) decisionmaking model in selection of underground metal mining method. Journal of Sustainable Mining, 18, 8-17.
• 3. Chang, Y., Dong, S., 2017. Study on post evaluation of high-speed railway based on FAHP and Matlab simulation calculation. Tehnicki Vjesnik-Technical Gazette, 24(6), 1749-1758.
• 4. Faran, A., Kemal, K., 2019. Fuzzy Analytic Hierarchy Process: A performance analysis of various algorithms. Fuzzy Sets and Systems, 362, 110-128.
• 5. Ghunaim, H., Dichter, J., 2019. Applying the FAHP to Improve the Performance Evaluation Reliability of Software Defect Classifiers. IEEE ACCESS, 7, 62794-62804.
• 6. Jalal, M. P., Noorzai, E., Roushan, T.Y., 2019. Root Cause Analysis of the Most Frequent Claims in the Building Industry through the SCoP3E Ishikawa Diagram. Journal of Legal Affairs and Dispute Resolution in Engineering and Construction, 11(2).
• 7. Kiani, M., Hosseini, S. H., Taji, M. et al., 2019. Risk assessment of blasting operations in open pit mines using fahp method. Mining of Mineral Deposits, 13(3), 76-86.
• 8. Ligus, M., 2017. Evaluation of Economic, Social and Environmental Effects of Low-Emission Energy Technologies Development in Poland: A Multi-Criteria Analysis with Application of a Fuzzy Analytic Hierarchy Process (FAHP). Energies, 10(10).
• 9. Lira, L.H., Hirai, F.E., Oliveira, M. et al., 2017. Use of the Ishikawa diagram in a case-control analysis to assess the causes of a diffuse lamellar keratitis outbreak. Arquivos Brasileiros De Oftalmologia, 80(5), 281-284.
• 10. Mir, S. A., Padma, T., 2016. Evaluation and prioritization of rice production practices and constraints under temperate climatic conditions using Fuzzy Analytical Hierarchy Process (FAHP). Spanish Journal of Agricultural Research, 14(4).
• 11. Mochammad, S.D.P., Septi, A., Fuziah and Aris, G., 2018. Fuzzy Analytical Hierarchy Process Method to Determine the Quality of Gemstones. Advances in Fuzzy Systems, 2018, 1-6.
• 12. Pacana, A., Czerwińska, K., Siwiec, D., 2018. Narzędzia i metody zarządzania jakością, Oficyna Wydawnicza Stowarzyszenia Menedżerów Jakości i Produkcji, Częstochowa.
• 13. Pacana, A., Siwiec, D., Bednárowá, L., 2019. Analysis of the incompatibility of the product with fluorescent method. Metalurgija, 58 (3-4), 337-340.
• 14. Pacana, A., Siwiec, D., Bednárowá, L., Hajduová, Z., 2019. Wybrane metody zarządzania jakością stosowane do oceny druku etykiet. Przemysł Chemiczny, 98(1), 110-112.
• 15. Radionovs, A., Užga-Rebrovs, O., 2016. Fuzzy Analytical Hierarchy Process for Ecological Risk Assessment. Information Technology and Management Science, 19, 16-22.
• 16. 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), 1594-1596.
• 17. Yulian, F., Nadifatul Q., Arif, S. F., Dahlan, A., 2018. Decision Support System for Islamic Couple Selection Using Fuzzy-AHP and WSM Method Based Web. MATEC Web of Conferences, 197.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).