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2020 | z. 143 Contemporary Management | 247--253
Tytuł artykułu

Improving the Process of Analysing the Causes of Problem by Integrating the Ishikawa Diagram and FAHP Method

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: The analysis process of the causes of the problem by often used the Ishikawa diagram is not effective when knowledge is lacking with regard to the particular causes and their validity about the problem. Moreover, its subjectivity is affected by the people undertaking the analysis. The aim of this paper is to reveal ways of improving the analysis process of problem causes by utilising the new method of integrated techniques, i.e.: Ishikawa diagram and FAHP method. Design/methodology/approach: An analysis process of problem causes was made by utilizing the integrated techniques, i.e.: Ishikawa diagram and FAHP method. The problem was identified after the FPI method, and it was a linear indication on the bearing cover from 410 steel. Findings: It was shown that implementing the FAHP method in the Ishikawa diagram allows a numerical analysis of the main causes of the problem. Research limitations/implications: Future analysis should be undertaken by applying the 5Why method, in order to fully identify the root cause of the problem. Practical implications: A new method can be used to precisely and reliably analyse different types of problems. Social implications: This method is an effective tool that supports the process of analysing the causes of the problem, and thus the process of making multi-criteria decisions. Originality/value: The article proposes a new method for integrating analysis techniques, i.e. the Ishikawa diagram and the FAHP method, which can be effective in precisely and reliably assessing the causes of the problem. (original abstract)
Twórcy
  • Rzeszow University of Technology, Poland
  • Rzeszow University of Technology, Poland
Bibliografia
  • 1. Balist, J., Heydarzadeh, H., Salehi, E. (2019). Modeling, Evaluation, and Zoning of Marivan county Ecotourism Potential using Fuzzy Logic, FAHP, and TOPSIS. Geographica Pannonica, 23(1), 47-63.
  • 2. 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.
  • 3. Khorramrouz, F., Kajabadi, N.P., Galankashi, M.R. et al. (2019). Application of fuzzy analytic hierarchy process (FAHP) in failure investigation of knowledge-based business plans. SN APPLIED SCIENCES, 1(11), 1-13.
  • 4. 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), 1-20.
  • 5. 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.
  • 6. 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, 1-20.
  • 7. Lyu, H.M., Shen, S.L., Zhou, A. et al. (2019). Data in flood risk assessment of metro systems in a subsiding environment using the interval FAHP-FCA approach. DATA IN BRIEF, 26, 1-7.
  • 8. 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), 1-13.
  • 9. Omrani, S., Jafari, M., Mansori, A. (2019). Analysis of Financial Performance of Cement Industry Manufacturing Companies in Tehran Stock Exchange Using the FAHP Technique and the TOPSIS Method. Independent Journal Of Management & Production, 10(2), 512-536.
  • 10. Pacana, A., Siwiec, D., Bednárowá, L., Hajduová, Z. (2019). Wybrane metody zarządzania jakością stosowane do oceny druku etykiet. Przemysł Chemiczny, 98(1), 110-112.
  • 11. Pacana, A., Siwiec, D., Lucia, B. (2019). Analysis of the incompatibility of the product with fluorescent method. METALURGIJA, 58(3-4), 337-340.
  • 12. Radionovs, A., Užga-Rebrovs, O. (2016). Fuzzy Analytical Hierarchy Process for Ecological Risk Assessment. Information Technology and Management Science, 19, 16-22.
  • 13. Ramandi, M.M., Cheshme, B.G. (2018). Possess of locating the elementary schools using combined FAHP-Fuzzy logic in the GIS. Ukrainian Journal Of Ecology, 8(1), 255-265.
  • 14. Rodcha, R., Tripathi, N.K., Shrestha, R.P. (2019). Comparison of Cash Crop Suitability Assessment Using Parametric, AHP, and FAHP Methods. LAND, 8(5), 1-24.
  • 15. Sehra, S.K., Brar, Y.S., Kaur, N. et al. (2019). Software effort estimation using FAHP and weighted kernel LSSVM machine. SOFT COMPUTING, 23(21), 10881-10900.
  • 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. Zhang, J., Chen, X., Sun, Q. (2019). A Safety Performance Assessment Framework for the Petroleum Industry's Sustainable Development Based on FAHP-FCE and Human Factors. SUSTAINABILITY, 11(13), 1-20.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171592203

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