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DETERMINING DESIGN ATTRIBUTES OF A SMALL HOUSEHOLD APPLIANCE USING FUZZY VIKOR-BASED QFD METHOD

Year 2020, Volume: 9 Issue: 1, 272 - 284, 30.01.2020

G.nilay Yücenur , Gökhan Altun Mehmetq Erdem

https://doi.org/10.28948/ngumuh.567969

Abstract

References

  • [1] CHEN, Y.Z., NGAI, E.W.T., “A fuzzy QFD program modelling approach using the method of imprecision”, International Journal of Production Research, 46(24), 6823-6840, 2008. Doi: 10.1080/00207540701463297.
  • [2] MOLDOVAN, L., “QFD employment for a new product design in a mineral water company”, Procedia Technology, 12, 462-468, 2014. Doi: 10.1016/j.protcy.2013.12.515.
  • [3] IONICA, A.C., LEBA, M., “QFD integrated in new product development - biometric identification system case study”, Procedia Economics and Finance, 23, 986-991, 2015. Doi: 10.1016/S2212-5671(15)00454-2.
  • [4] CHOWDHURY, Md.M.H., QUADDUS, M.A., “A multi-phased QFD based optimization approach to sustainable service design”, International Journal of Production Economics, 171(2), 165-178, 2016. Doi: 10.1016/j.ijpe.2015.09.023.
  • [5] LAGER, T., “A conceptual framework for platform-based design of non-assembled products”, Technovation, 68, 20-34, 2017. Doi: 10.1016/j.technovation.2017.09.002.
  • [6] YANG, Q., CHIN, K.S., LI, Y.L., “A quality function deployment-based framework for the risk management of hazardous material transportation process”, Journal of Loss Prevention in the Process Industries. https://doi.org/10.1016/j.jlp.2018.02.001, 2018. Doi: 10.1016/j.jlp.2018.02.001.
  • [7] HO, W., HE, T., LEE, C.K.M., EMROUZNEJAD, A., “Strategic logistics outsourcing. Expert Systems with Applications”, 39(12), 10841-10850, 2012. Doi: 10.1016/j.eswa.2012.03.009.
  • [8] RAJESH, G., MALLIGA, P., “Supplier selection based on AHP-QFD methodology”, Procedia Engineering, 64, 1283-1292, 2013. Doi: 10.1016/j.proeng.2013.09.209.
  • [9] PAKIZEHKAR, H., SADRABADI, M.M., MEHRJARDI, R.Z., ESHAGHIEH, A.E., “The application of integration of Kano’s Model, AHP technique and QFD matrix in prioritizing the bank’s substructions”, Procedia - Social and Behavioral Sciences, 230, 159-166, 2016. Doi: 10.1016/j.sbspro.2016.09.020.
  • [10] LAM, J.S.L., LAI, K.H., “Developing environmental sustainability by ANP-QFD approach: the case of shipping operations”, Journal of Cleaner Production, 105, 275-284, 2015. Doi: 10.1016/j.jclepro.2014.09.070.
  • [11] LAM, J.S.L., “Designing a sustainable maritime supply chain: A hybrid QFD–ANP approach”, Transportation Research Part E: Logistics and Transportation Review, 78, 70-81, 2015. Doi: 10.1016/j.tre.2014.10.003.
  • [12] ASADABADI, M.R., “A customer based supplier selection process that combines quality function deployment, the analytic network process and a Markov chain”, European Journal of Operational Research, 263(3), 1049-1062, 2017. Doi: 10.1016/j.ejor.2017.06.006.
  • [13] LI, M., JIN, L., WANG, J., “A new MCDM method combining QFD with TOPSIS for knowledge management system selection from the user’s perspective in intuitionistic fuzzy environment”, Applied Soft Computing, 21, 28-37, 2014. Doi: 10.1016/j.asoc.2014.03.008.
  • [14] AKBAŞ, H., BİLGEN, B., “An integrated fuzzy QFD and TOPSIS methodology for choosing the ideal gas fuel at WWTPs”, Energy, 125, 484-497, 2017. Doi: 10.1016/j.energy.2017.02.153.
  • [15] AZADI, M., SAEN, R.F., “A combination of QFD and imprecise DEA with enhanced Russell graph measure: A case study in healthcare”, Socio-Economic Planning Sciences, 47(4), 281-291, 2013. Doi: 10.1016/j.seps.2013.05.001.
  • [16] KARSAK, E., DURSUN, M., “An integrated supplier selection methodology incorporating QFD and DEA with imprecise data”, Expert Systems with Applications, 41(16), 6995-7004, 2014. Doi: 10.1016/j.eswa.2014.06.020.
  • [17] CAVALLINI, C., GIORGETTI, A., CITTI, P., NICOLAIE, F., “Integral aided method for material selection based on quality function deployment and comprehensive VIKOR algorithm”, Materials & Design, 47, 27-34, 2013. Doi: 10.1016/j.matdes.2012.12.009.
  • [18] TIWARI, V., JAIN, P.K., TANDON, P., “Product design concept evaluation using rough sets and VIKOR method”, Advanced Engineering Informatics, 30(1), 16-25, 2016. Doi: 10.1016/j.aei.2015.11.005.
  • [19] LI, X., SONG, W., “A rough VIKOR-based QFD for prioritizing design attributes of product-related service”, Mathematical Problems in Engineering Article ID 9642018, 2016. Doi: 10.1155/2016/9642018.
  • [20] TADIC, S., ZEZEVIC, S., KRSTIC, M., “Locating city logistics terminal by applying the combined QFD-VIKOR method”, Paper presented at International Conference on Traffic and Transport Engineering, Belgrade, November 24-25, 2016.
  • [21] WU, S.M., LIU, H.C., WANG, L.E., “Hesitant fuzzy integrated MCDM approach for quality function deployment: A case study in electric vehicle”, International Journal of Production Research, 55(15), 4436-4449, 2017. Doi: 10.1080/00207543.2016.1259670
  • [22] GIORGETTI, A., CAVALLINI, C., ARCIDIACONO, G., CITTI, P., “A Mixed C-VIKOR fuzzy approach for material selection during design phase: A case study in valve seats for high performance engine”, International Journal of Applied Engineering Research, 12(12), 3117-3129, 2017.
  • [23] YANG, S., LIU, J., WANG, K., MIAO, Y., “An Uncertain QFD Approach for the Strategic Management of Logistics Services”, Mathematical Problems in Engineering, Article ID 1486189, doi:10.1155/2016/1486189, 2016. Doi: 10.1155/2016/1486189.
  • [24] LI, M., “The Extension of Quality Function Deployment Based on 2-Tuple Linguistic Representation Model for Product Design under Multigranularity Linguistic Environment”, Mathematical Problems in Engineering. Article ID 989284. doi:10.1155/2012/989284, 2012. Doi: 10.1155/2012/989284.
  • [25] LIU, H.T., “Product design and selection using fuzzy QFD and fuzzy MCDM approaches”, Applied Mathematical Modelling, 35, 482–496, 2011. Doi: 10.1016/j.apm.2010.07.014.
  • [26] ZHANG, N., ZHOU, K., DU, X., “Application of fuzzy logic and fuzzy AHP to mineral prospectivity mapping of porphyry and hydrothermal vein copper deposits in the Dananhu-Tousuquan island arc, Xinjiang, NW China”, Journal of African Earth Sciences, 128, 84-96, 2017. Doi: 10.1016/j.jafrearsci.2016.12.011.
  • [27] SUGANTHI, L., INIYAN, S., SAMUEL, A.A., “Applications of fuzzy logic in renewable energy systems – A review”, Renewable and Sustainable Energy Reviews, 48, 585–607, 2015. Doi: 10.1016/j.rser.2015.04.037.
  • [28] TADIC, S., ZECEVIC, S., KRSTIC, M., “A novel hybrid MCDM model based on fuzzy DEMATEL, fuzzy ANP and fuzzy VIKOR for city logistics concept selection”, Expert Systems with Applications, 41, 8112–8128, 2014. Doi: 10.1016/j.eswa.2014.07.021.
  • [29] TIAN, Z.P., WANG, J.Q., WANG, J., ZHANG, H.Y., “A multi-phase QFD-based hybrid fuzzy MCDM approach for performance evaluation: A case of smart bike-sharing programs in Changsha”, Journal of Cleaner Production, 171, 1068-1083, 2018. Doi: 10.1016/j.jclepro.2017.10.098.
  • [30] WU, Y., XU, C., ZHANG, T., “Evaluation of renewable power sources using a fuzzy MCDM based on cumulative prospect theory: A case in China”, Energy, 147, 1227-1239, 2018. Doi: 10.1016/j.energy.2018.01.115.
  • [31] OPRICOVIC, S., TZENG, G.H., “Extended VIKOR method in comparison with outranking methods”, European Journal of Operational Research, 178, 514-529, 2007. Doi: 10.1016/j.ejor.2006.01.020.
  • [32] SANAYEI, A., MOUSAVI, S.F., YAZDANKHAH, A., “Group decision making process for supplier selection with VIKOR under fuzzy environment”, Expert Systems with Applications, 37, 24-30, 2010. Doi: 10.1016/j.eswa.2009.04.063.

BULANIK VIKOR TEMELLİ KFG YÖNTEMİ KULLANARAK KÜÇÜK BİR EV ALETİNİN TASARIM ÖZELLİKLERİNİN BELİRLENMESİ

Year 2020, Volume: 9 Issue: 1, 272 - 284, 30.01.2020

G.nilay Yücenur , Gökhan Altun Mehmetq Erdem

https://doi.org/10.28948/ngumuh.567969

Abstract

Due to globalization, competition for firms is growing with the growth of markets. Quality Function Deployment (QFD) is a systematic approach which is developed in order to pre-plan the product specifications, process specifications and production stages in the design phase in order to reflect the customer's requests and expectations to the product. This study is concerned with the design of a pomegranate extractor that can be easily used in homes and workplaces according to the desired customer demands. The fuzzy VIKOR method was used to increase the reliability of subjective judgments in the QFD, for determining the relative importance weights of customer needs “WHATs” and ranking design attributes “HOWs”. The solution obtained by fuzzy logic is compared with the solutions obtained by the classical QFD and the small home appliance is designed visually by presenting the evaluations.

Keywords

Customer needs fuzzy logic multi criteria decision making QFD design

References

  • [1] CHEN, Y.Z., NGAI, E.W.T., “A fuzzy QFD program modelling approach using the method of imprecision”, International Journal of Production Research, 46(24), 6823-6840, 2008. Doi: 10.1080/00207540701463297.
  • [2] MOLDOVAN, L., “QFD employment for a new product design in a mineral water company”, Procedia Technology, 12, 462-468, 2014. Doi: 10.1016/j.protcy.2013.12.515.
  • [3] IONICA, A.C., LEBA, M., “QFD integrated in new product development - biometric identification system case study”, Procedia Economics and Finance, 23, 986-991, 2015. Doi: 10.1016/S2212-5671(15)00454-2.
  • [4] CHOWDHURY, Md.M.H., QUADDUS, M.A., “A multi-phased QFD based optimization approach to sustainable service design”, International Journal of Production Economics, 171(2), 165-178, 2016. Doi: 10.1016/j.ijpe.2015.09.023.
  • [5] LAGER, T., “A conceptual framework for platform-based design of non-assembled products”, Technovation, 68, 20-34, 2017. Doi: 10.1016/j.technovation.2017.09.002.
  • [6] YANG, Q., CHIN, K.S., LI, Y.L., “A quality function deployment-based framework for the risk management of hazardous material transportation process”, Journal of Loss Prevention in the Process Industries. https://doi.org/10.1016/j.jlp.2018.02.001, 2018. Doi: 10.1016/j.jlp.2018.02.001.
  • [7] HO, W., HE, T., LEE, C.K.M., EMROUZNEJAD, A., “Strategic logistics outsourcing. Expert Systems with Applications”, 39(12), 10841-10850, 2012. Doi: 10.1016/j.eswa.2012.03.009.
  • [8] RAJESH, G., MALLIGA, P., “Supplier selection based on AHP-QFD methodology”, Procedia Engineering, 64, 1283-1292, 2013. Doi: 10.1016/j.proeng.2013.09.209.
  • [9] PAKIZEHKAR, H., SADRABADI, M.M., MEHRJARDI, R.Z., ESHAGHIEH, A.E., “The application of integration of Kano’s Model, AHP technique and QFD matrix in prioritizing the bank’s substructions”, Procedia - Social and Behavioral Sciences, 230, 159-166, 2016. Doi: 10.1016/j.sbspro.2016.09.020.
  • [10] LAM, J.S.L., LAI, K.H., “Developing environmental sustainability by ANP-QFD approach: the case of shipping operations”, Journal of Cleaner Production, 105, 275-284, 2015. Doi: 10.1016/j.jclepro.2014.09.070.
  • [11] LAM, J.S.L., “Designing a sustainable maritime supply chain: A hybrid QFD–ANP approach”, Transportation Research Part E: Logistics and Transportation Review, 78, 70-81, 2015. Doi: 10.1016/j.tre.2014.10.003.
  • [12] ASADABADI, M.R., “A customer based supplier selection process that combines quality function deployment, the analytic network process and a Markov chain”, European Journal of Operational Research, 263(3), 1049-1062, 2017. Doi: 10.1016/j.ejor.2017.06.006.
  • [13] LI, M., JIN, L., WANG, J., “A new MCDM method combining QFD with TOPSIS for knowledge management system selection from the user’s perspective in intuitionistic fuzzy environment”, Applied Soft Computing, 21, 28-37, 2014. Doi: 10.1016/j.asoc.2014.03.008.
  • [14] AKBAŞ, H., BİLGEN, B., “An integrated fuzzy QFD and TOPSIS methodology for choosing the ideal gas fuel at WWTPs”, Energy, 125, 484-497, 2017. Doi: 10.1016/j.energy.2017.02.153.
  • [15] AZADI, M., SAEN, R.F., “A combination of QFD and imprecise DEA with enhanced Russell graph measure: A case study in healthcare”, Socio-Economic Planning Sciences, 47(4), 281-291, 2013. Doi: 10.1016/j.seps.2013.05.001.
  • [16] KARSAK, E., DURSUN, M., “An integrated supplier selection methodology incorporating QFD and DEA with imprecise data”, Expert Systems with Applications, 41(16), 6995-7004, 2014. Doi: 10.1016/j.eswa.2014.06.020.
  • [17] CAVALLINI, C., GIORGETTI, A., CITTI, P., NICOLAIE, F., “Integral aided method for material selection based on quality function deployment and comprehensive VIKOR algorithm”, Materials & Design, 47, 27-34, 2013. Doi: 10.1016/j.matdes.2012.12.009.
  • [18] TIWARI, V., JAIN, P.K., TANDON, P., “Product design concept evaluation using rough sets and VIKOR method”, Advanced Engineering Informatics, 30(1), 16-25, 2016. Doi: 10.1016/j.aei.2015.11.005.
  • [19] LI, X., SONG, W., “A rough VIKOR-based QFD for prioritizing design attributes of product-related service”, Mathematical Problems in Engineering Article ID 9642018, 2016. Doi: 10.1155/2016/9642018.
  • [20] TADIC, S., ZEZEVIC, S., KRSTIC, M., “Locating city logistics terminal by applying the combined QFD-VIKOR method”, Paper presented at International Conference on Traffic and Transport Engineering, Belgrade, November 24-25, 2016.
  • [21] WU, S.M., LIU, H.C., WANG, L.E., “Hesitant fuzzy integrated MCDM approach for quality function deployment: A case study in electric vehicle”, International Journal of Production Research, 55(15), 4436-4449, 2017. Doi: 10.1080/00207543.2016.1259670
  • [22] GIORGETTI, A., CAVALLINI, C., ARCIDIACONO, G., CITTI, P., “A Mixed C-VIKOR fuzzy approach for material selection during design phase: A case study in valve seats for high performance engine”, International Journal of Applied Engineering Research, 12(12), 3117-3129, 2017.
  • [23] YANG, S., LIU, J., WANG, K., MIAO, Y., “An Uncertain QFD Approach for the Strategic Management of Logistics Services”, Mathematical Problems in Engineering, Article ID 1486189, doi:10.1155/2016/1486189, 2016. Doi: 10.1155/2016/1486189.
  • [24] LI, M., “The Extension of Quality Function Deployment Based on 2-Tuple Linguistic Representation Model for Product Design under Multigranularity Linguistic Environment”, Mathematical Problems in Engineering. Article ID 989284. doi:10.1155/2012/989284, 2012. Doi: 10.1155/2012/989284.
  • [25] LIU, H.T., “Product design and selection using fuzzy QFD and fuzzy MCDM approaches”, Applied Mathematical Modelling, 35, 482–496, 2011. Doi: 10.1016/j.apm.2010.07.014.
  • [26] ZHANG, N., ZHOU, K., DU, X., “Application of fuzzy logic and fuzzy AHP to mineral prospectivity mapping of porphyry and hydrothermal vein copper deposits in the Dananhu-Tousuquan island arc, Xinjiang, NW China”, Journal of African Earth Sciences, 128, 84-96, 2017. Doi: 10.1016/j.jafrearsci.2016.12.011.
  • [27] SUGANTHI, L., INIYAN, S., SAMUEL, A.A., “Applications of fuzzy logic in renewable energy systems – A review”, Renewable and Sustainable Energy Reviews, 48, 585–607, 2015. Doi: 10.1016/j.rser.2015.04.037.
  • [28] TADIC, S., ZECEVIC, S., KRSTIC, M., “A novel hybrid MCDM model based on fuzzy DEMATEL, fuzzy ANP and fuzzy VIKOR for city logistics concept selection”, Expert Systems with Applications, 41, 8112–8128, 2014. Doi: 10.1016/j.eswa.2014.07.021.
  • [29] TIAN, Z.P., WANG, J.Q., WANG, J., ZHANG, H.Y., “A multi-phase QFD-based hybrid fuzzy MCDM approach for performance evaluation: A case of smart bike-sharing programs in Changsha”, Journal of Cleaner Production, 171, 1068-1083, 2018. Doi: 10.1016/j.jclepro.2017.10.098.
  • [30] WU, Y., XU, C., ZHANG, T., “Evaluation of renewable power sources using a fuzzy MCDM based on cumulative prospect theory: A case in China”, Energy, 147, 1227-1239, 2018. Doi: 10.1016/j.energy.2018.01.115.
  • [31] OPRICOVIC, S., TZENG, G.H., “Extended VIKOR method in comparison with outranking methods”, European Journal of Operational Research, 178, 514-529, 2007. Doi: 10.1016/j.ejor.2006.01.020.
  • [32] SANAYEI, A., MOUSAVI, S.F., YAZDANKHAH, A., “Group decision making process for supplier selection with VIKOR under fuzzy environment”, Expert Systems with Applications, 37, 24-30, 2010. Doi: 10.1016/j.eswa.2009.04.063.
There are 32 citations in total.

Details

Primary Language English
Subjects Industrial Engineering
Journal Section Industrial Engineering
Authors

G.nilay Yücenur 0000-0002-2670-6277

Gökhan Altun This is me 0000-0003-3181-8430

Mehmetq Erdem This is me 0000-0002-0297-1850

Publication Date January 30, 2020
Submission Date May 20, 2019
Acceptance Date January 13, 2020
Published in Issue Year 2020 Volume: 9 Issue: 1

Cite

APA Yücenur, G., Altun, G., & Erdem, M. (2020). DETERMINING DESIGN ATTRIBUTES OF A SMALL HOUSEHOLD APPLIANCE USING FUZZY VIKOR-BASED QFD METHOD. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi, 9(1), 272-284. https://doi.org/10.28948/ngumuh.567969
AMA Yücenur G, Altun G, Erdem M. DETERMINING DESIGN ATTRIBUTES OF A SMALL HOUSEHOLD APPLIANCE USING FUZZY VIKOR-BASED QFD METHOD. NOHU J. Eng. Sci. January 2020;9(1):272-284. doi:10.28948/ngumuh.567969
Chicago Yücenur, G.nilay, Gökhan Altun, and Mehmetq Erdem. “DETERMINING DESIGN ATTRIBUTES OF A SMALL HOUSEHOLD APPLIANCE USING FUZZY VIKOR-BASED QFD METHOD”. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi 9, no. 1 (January 2020): 272-84. https://doi.org/10.28948/ngumuh.567969.
EndNote Yücenur G, Altun G, Erdem M (January 1, 2020) DETERMINING DESIGN ATTRIBUTES OF A SMALL HOUSEHOLD APPLIANCE USING FUZZY VIKOR-BASED QFD METHOD. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi 9 1 272–284.
IEEE G. Yücenur, G. Altun, and M. Erdem, “DETERMINING DESIGN ATTRIBUTES OF A SMALL HOUSEHOLD APPLIANCE USING FUZZY VIKOR-BASED QFD METHOD”, NOHU J. Eng. Sci., vol. 9, no. 1, pp. 272–284, 2020, doi: 10.28948/ngumuh.567969.
ISNAD Yücenur, G.nilay et al. “DETERMINING DESIGN ATTRIBUTES OF A SMALL HOUSEHOLD APPLIANCE USING FUZZY VIKOR-BASED QFD METHOD”. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi 9/1 (January 2020), 272-284. https://doi.org/10.28948/ngumuh.567969.
JAMA Yücenur G, Altun G, Erdem M. DETERMINING DESIGN ATTRIBUTES OF A SMALL HOUSEHOLD APPLIANCE USING FUZZY VIKOR-BASED QFD METHOD. NOHU J. Eng. Sci. 2020;9:272–284.
MLA Yücenur, G.nilay et al. “DETERMINING DESIGN ATTRIBUTES OF A SMALL HOUSEHOLD APPLIANCE USING FUZZY VIKOR-BASED QFD METHOD”. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi, vol. 9, no. 1, 2020, pp. 272-84, doi:10.28948/ngumuh.567969.
Vancouver Yücenur G, Altun G, Erdem M. DETERMINING DESIGN ATTRIBUTES OF A SMALL HOUSEHOLD APPLIANCE USING FUZZY VIKOR-BASED QFD METHOD. NOHU J. Eng. Sci. 2020;9(1):272-84.
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