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The technique to precisely design the product in a house of quality considering current customers' requirements

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The competitive and turbulent environment generates the need to use various techniques to determine the level of product quality. In this aim, it is necessary to determine the direction of improvement attributes and function of the product based on customer requirements, which are usually uncertain. Therefore, the aim of the article is to propose the technique to improve the product quality by precisely determine the customers' requirements and the importance of the quality parameters for the current attributes of the product. This technique is a combination of methods i.e.: the QFD method (Quality Function Deployment) with the GRA method (Grey Relational Analysis). Using the QFD method, customer requirements were translated into technical features of the product. In turn, using the GRA method the imprecise customers' requirements were reduced and the importance of quality parameters was determined in a more accurate way. A test of a combination of the QFD and GRA methods for the household vacuum cleaner was made. The originality of the article is ensuring a precise study of the current attributes of the product from the point of customer satisfaction.
Wydawca
Rocznik
Strony
9--16
Opis fizyczny
Bibliogr. 20 poz., rys., tab.
Twórcy
  • Rzeszow University of Technology, Rzeszow, Poland
  • Rzeszow University of Technology, Rzeszow, Poland
Bibliografia
  • 1.Ali, A., Hafeez, Y., Hussain, S., Yang S., 2020. Role of Requirement Prioritization Technique to Improve the Quality of Highly-Configurable Systems. IEEE Access, 8, 27549-27573, DOI: 10.1109/ACCESS.2020.2971382
  • 2.Chen, CH., Khoo, LP., Yan, W., 2003. Evaluation of multicultural factors from elicited customer requirements for new product development. Research In Engineering Design Theory Applications And Concurrent Engineering, 14(30), 119-130, DOI: 10.1007/s00163-003-0032-6
  • 3.Chen, LH. et al., 2009. Fuzzy linear programming models for new product design using QFD with FMEA, Applied Mathematical Modelling, 33(2), 633-647, DOI: 10/1016/j.apm.2007.11.029
  • 4.Ertugrul, I. et al., 2016. Grey Relational Analysis Approach In Academic Performance Comparison of University: A Case Study of Turkish Universities, European Scientific Journal, 12, 128-139.
  • 5.Gazda, A., Pacana, A., Malindžák, D., 2013. Study on improving the quality of stretch film by Taguchi method, Przemysl Chemiczny, 92(6), 980-982.
  • 6.Hoła, A., Sawicki, M., Szóstak, M., 2018. Methodology of Classifying the Causes of Occupational Accidents Involving Construction Scaffolding Using Pareto-Lorenz Analysis, Appl. Sci., 8(1), 48, DOI: https://doi.org/10.3390/app8010048
  • 7.Javed, S.A. et al., 2019. Systems Evaluation through New Grey Relational Analysis Approach: An Application on Thermal Conductivity-Petrophysical Parameters’ Relationships, Processes 7, 348, DOI: https://doi.org/10.3390/pr7060348
  • 8.Lawlor, K. B., Hornyak, M., J., 2012. Smart Goals: How The Application Of Smart Goals Can Contribute To Achievement Of Student Learning Outcomes, Developments in Business Simulation and Experiential Learning, 39, 259-267.
  • 9. Li, M. 2013. The method for product design selection with incomplete linguistic weight information based on quality function deployment in a fuzzy environment, Mathematical Problems in Engineering, DOI: 10.1155/2013/943218.
  • 10.Liu, AJ. et al., 2018. Novel Method for Perceiving Key Requirements of Customer Collaboration Low-Carbon Product Design, International Journal of Environmental Research and Public Health, 15(7), DOI: 10.3390/ijerph15071446
  • 11.Pacana, A., Czerwińska, K., Bednarova L., 2018. Discrepancies analysis of casts of diesel engine piston, Metalurgija, 57, 4, 324-326.
  • 12.Pacana, A., Siwiec, D., Bednarova L., 2019. Analysis of the incompatibility of the product with fluorescent method, Metalurgija, 58, 3-4, 337-340.
  • 13.Pacana, A., Siwiec, D., Bednárová, L. 2020. Method of Choice: A Fluorescent Penetrant Taking into Account Sustainability Criteria, Sustainability, 12(14), 1-21, DOI: https://doi.org/10.3390/su12145854
  • 14.Rahim, A., Baksh, M., 2003. Application of quality function deployment (QFD) method for pultrusion machine design planning, Industrial Management & Data Systems, 103(6), 373-387.
  • 15.Ulewicz, R., Siwiec, D., Pacana, A., Tutak, M., Brodny, J. 2021. Multi-Criteria Method for the Selection of Renewable Energy Sources in the Polish Industrial Sector, Energies, 14, 2386, DOI: https://doi.org/10.3390/en14092386
  • 16.Wang, F. et al., 2015. Capturing the key customer requirements for complex equipment design using Grey Relational Analysis, Journal of Grey System, 27, (3), 51-70.
  • 17.Wang, F., Li, H., Liu, AJ., Zhang, X., 2015. Hybrid customer requirements rating method for customer-oriented product design using QFD. Journal Of Systems Engineering And Electronics, 26(3), 533-543, DOI: 10.1109/JSEE.2015.00061
  • 18.Wang, YM., Chin, KS., 2011. A linear goal programming approach to determining the relative importance weights of customer requirements in quality function deployment, Information Sciences, 181(24), 5523-5533, DOI: 10.1016/j.ins.2011.08.016
  • 19.Winiarski, J. 2012. Ryzyko w projektach informatycznych – statystyczne narzędzia oceny, Contemporart Economy, Electronic Scientific Journal, 3(4), 35-42.
  • 20.Xie, et al., 2016. Determining the Importance Ratings of Customer Requirements of Automotive Clutch Based on Quality Function Deployment. International Conference on Mechanics Design, Manufacturing and Automation, 379-386.10.2478/cqpi-2021-0002
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-5f4d54e6-58f2-4d48-93d4-7e28aa06f4e1
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