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AHP QFD methodology for a recycled solar collector

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
As it is presented in literature, the AHP-QFD method is a method applicable to many sectors, namely industry. The article is a part of this framework, applying this method for the design of a recycled solar air heater according to customer’s expectations. The methodology is based on the application of QFD to detect consumer requirements, technical characteristics and their relationship matrices. while the AHP method aims to evaluate the weights of each criterion in order to make the right decision. In this study, the manufacturing process was projected from upstream to downstream, as well as a market study was established in October 2020, in Khouribga-Morocco, in which 50 people responded favourably to a survey about the most frequently searched requirements which include size, efficiency, design, price and ecology as well as their importance in a solar collector. Besides, relationship matrices and the weight matrices of the technical criteria have been established, by presenting a consistent ratio “CR” less than 10% showing the consistency of the assessment, and finally a priority given to the characteristics of the recycled solar air heater: cans and thermal insulation more superior to the others characteristics.
Rocznik
Strony
30--39
Opis fizyczny
Bibliogr. 33 poz., rys., tab.
Twórcy
  • Applied Thermodynamics and Solid Combustibles (ATSC), Mohammedia School of Engineers (EMI), Rabat- Morocco; atouzani-kia@gmail.com (A.T.)
  • Applied Thermodynamics and Solid Combustibles (ATSC), Mohammedia School of Engineers (EMI), Rabat- Morocco; atouzani-kia@gmail.com (A.T.)
Bibliografia
  • 1. Ishizaka, A., 2012, Clusters and pivots for evaluating a large number of alternatives in AHP.10.1590/S0101-74382012005000002
  • 2. Calabresea, A., Costaa, R., Levialdia, N., Menichinib, T., 2018. Integrating sustainability into strategic decision-making: A fuzzy AHP method for the selection of relevant sustainability issues. Technological Forecasting & Social Change.10.1016/j.techfore.2018.11.005
  • 3. Ramos, A., Cunha, L., Cunha, P.P., 2014. Analytic hierarchy process (AHP) applied to the landslides study in a coastal area of the central Portugal: Figueira da Foz
  • 4. Yadav, A., Jayswal, S.C., 2013. Using Geometric Mean Method of Analytical Hierarchy Process for Decision Making in Functional Layout.
  • 5. AUT University, 2013. Quality Function Deployment. Creative Industries Research Institue.
  • 6. Hasna, B., Farah, B., Bhihi Fatima-zahra, El badaoui Meryem. La matrice QFD.
  • 7. Bruno, G., Esposito, E., Genovese, A., et al., 2009. The Analytic Hierarchy Process in the Supplier Selection Problem. The 10th International Symposium on The Analytic Hierarchy Process, Pittsburgh.10.13033/isahp.y2009.085
  • 8. Saldana, C., 2019. Quality Function Deployment and Specifications. Woodruff School of Mechanical Engineering Georgia Institute of Technology Atlanta, Georgia, USA.
  • 9. Haktanıra, E., Kahramana, C., 2019. A novel interval-valued Pythagorean fuzzy QFD method and its application to solar photovoltaic technology development. Computers & Industrial Engineering, 361-372.10.1016/j.cie.2019.04.022
  • 10. De Felice, F., Petrillo, A., 2010. A multiple choice decision analysis: an integrated QFD – AHP model for the assessment of customer needs. International Journal of Engineering, Science and Technology, 25-38.10.4314/ijest.v2i9.63849
  • 11. Varolgünes, F.K., Canan, F., de la Cruz del Río-Rama, M., Oliveira, C., 2021. Design of a Thermal Hotel Based on AHP-QFD Methodology. Water Journal, MDPI, 13(15), 2109, DOI: 10.3390/w1315210910.3390/w13152109
  • 12. Rajesha, G., Malligab, P., 2013. Supplier Selection Based on AHP QFD Methodology. International Conference On Design And Manufacturing, ICONDM 2013-Procedia Engineering Science Direct, 1283-1292, DOI: 10.1016/j.proeng.2013.09.20910.1016/j.proeng.2013.09.209https://www.afriquiagaz.com, (Accessed on 04 February 2021).
  • 13. https://www.bidaya.io, (Accessed on 04 February 2021). https://donnees.banquemondiale.org/indicateur/EN.ATM.CO2E.PC?contextual=default&locations=MA, (Accessed on 02 February 2021).
  • 14. https://www.iea.org/data-and-statistics/data-tables?country=MOROCCO&energy=Balances&year=2018, (Accessed on 02 February 2021).
  • 15. Rihar L., Kušar, J., 2021. Implementing Concurrent Engineering and QFD Method to Achieve Realization of Sustainable Project. Sustainability MDPI, 1091, DOI: 10.3390/su1303109110.3390/su13031091
  • 16. Kowalska, M., Pazdzior, M., Krzton-Maziopa, A., 2015. Implementation of QFD method in quality analysis of confectionery products. Journal of Intelligent Manufacturing, 439-447.10.1007/s10845-015-1120-y
  • 17. Lombardi, M., Fargnoli, M., 2018. Prioritization of hazards by means of a QFD based procedure. Safety and Security Studies, 163.10.2495/SAFE-V8-N2-342-353
  • 18. Mehdi Rajabi Asadabadi, 2017. A Customer Based Supplier Selection Process that Combines Quality Function Deployment, the Analytic Network Process and a Markov Chain. European Journal Of Operational Research.10.1016/j.ejor.2017.06.006
  • 19. EL Badaoui, M., Touzani, A., 2020. Modeling of a parabolic trough using two heat transfer fluids and an economic estimation in the Moroccan dairy industry. IOP Conf. Ser.: Mater. Sci. Eng., 811 012029.10.1088/1757-899X/811/1/012029
  • 20. Mukesh ohan Pandey, 2020. Evaluating the strategic design parameters of airports in Thailand to meet service expectations of Low-Cost Airlines using the Fuzzy-based QFD method. Journal Of Air Transport Management, 101738.10.1016/j.jairtraman.2019.101738Jain, N., Singh, A.R., 2014. AHP and QFD Methodology for Supplier Selection. IPEDR.
  • 21. Haber, N., Fargnoli, M., Sakao, T., 2018. Integrating QFD for product-service systems with the Kano model and fuzzy AHP. Total Quality Management & Business Excellence.10.1080/14783363.2018.1470897
  • 22. Wolniak, R., 2018. The use of QFD method advantages and limitation. Production Engineering Archives, 14-17.10.30657/pea.2018.18.02
  • 23. Fattahi, R., Khalilzadeh, M., 2018. Risk evaluation using a novel hybrid method based on FMEA, extended MULTIMOORA, and AHP methods under fuzzy environment. Safety Science, 290-300.10.1016/j.ssci.2017.10.018
  • 24. Ginting, R., Widodo, 2019. Technical characteristics’ determination of crumb rubber product by using quality function deployment (QFD) phase I. IOP Conference Series: Materials Science and Engineering, 602 012048, DOI: 10.1088/1757-899X/602/1/01204810.1088/1757-899X/602/1/012048
  • 25. Ginting1, R., Eka Periana Pane1, Alfin Fauzi Malik1, 2020. Quality improvement of woods product using the quality function deployment (QFD) method at PT. X. AIP Conference Proceedings, 2217, 030147.
  • 26. Ginting, R., 2020. Application of Quality Function Deployment (QFD) Method in Meeting Customer Satisfaction in the Bookshelf Industry. IOP Conference Series: Materials Science and Engineering, 1003 012005, DOI: 10.1088/1757-899X/1003/1/01200510.1088/1757-899X/1003/1/012005
  • 27. Klutho, S., 2013. Mathematical Decision Making -An Overview of the Analytic Hierarchy.
  • 28. Fehlmann, T., 2016. Using ahp in qfd – the impact of the new iso 16355 standards. International Symposium of the Analytic Hierarchy Process, UK10.13033/isahp.y2016.123
  • 29. Vargas, Viana, R., 2010. Using the analytic hierarchy process (ahp) to select and prioritize projects in a portfolio.
  • 30. Ho, W., Dey1, P.K., Lockström M. Strategic Sourcing: A combined QFD and AHP approach in manufacturing.
  • 31. Xinglia, W., Huchang, L., 2018. An approach to quality function deployment based on probabilistic linguistic term sets and ORESTE method for multi-expert multi-criteria decision making. Information Fusion, 13-26.10.1016/j.inffus.2017.11.008
  • 32. Chen, X., Ding, Y., 2017. A decision support model for subcontractor selection using a hybrid approach of QFD and AHPimproved grey correlation analysis. Engineering Construction And Architectural Management.
  • 33. Xi, xi, Qin, Qiuli, 2013. Product quality evaluation system based on AHP fuzzy comprehensive evaluation. Journal of Industrial Engineering and Management, 356-366.10.3926/jiem.685
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-c8ea6cbf-9f15-4ff4-a8a2-65f29e5867da
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