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New Product Design Using Chebyshev’s Inequality Based Interval-Valued Intuitionistic Z-Fuzzy QFD Method
Volume 33, Issue 1 (2022), pp. 1–33
Pub. online: 4 February 2022      Type: Research Article      Open accessOpen Access
Received
1 May 2021
Accepted
1 January 2022
Published
4 February 2022

Abstract

In Quality function deployment (QFD) approach, customers tend to express their needs in linguistic terms rather than exact numerical values and these needs generally contain vague and imprecise information. To overcome this challenge and to use the method more effectively for complex customer-oriented design problems, this paper introduces a novel intuitionistic Z-fuzzy QFD method based on Chebyshev’s inequality (CI) and applies it for a new product design. CI provides the assignment of a more objective reliability function. The reliability value is based on the maximum probability obtained from CI. Then, the expected values of lower and upper bounds of interval-valued intuitionistic fuzzy (IVIF) numbers are determined. A competitive analysis among our firm and competitor firms and an integrative analysis for the different functions of QFD is presented. The proposed Z-fuzzy QFD method is applied to the design and development of a hand sanitizer for struggling with COVID-19.

References

 
Akbaş, H., Bilgen, B. (2017). An integrated fuzzy QFD and TOPSIS methodology for choosing the ideal gas fuel at WWTPs. Energy, 125, 484–497.
 
Amaladhasan, S., Parthiban, P., Dhanalakshmi, R. (2018). Analysis and prioritisation of eco drivers in supply Chain. International Journal of Logistics Systems and Management, 31(3), 336–362.
 
Aouag, H., Soltani, M., Mouss, M.D. (2020). Enhancement of value stream mapping application process through using fuzzy DEMATEL and fuzzy QFD approaches: a case study considering economic and environmental perspectives. Journal of Modelling in Management. 16(3), 1002–1023.
 
Atanassov, K.T. (1986). Intuitionistic fuzzy sets. Fuzzy Sets and Systems, 20(1), 87–96.
 
Atanassov, K.T. (1994). New operations defined over the intuitionistic fuzzy sets. Fuzzy Sets Syst, 61, 137–142.
 
Atanassov, K.T. (2020). Circular intuitionistic fuzzy sets. Journal of Intelligent and Fuzzy Systems, 39(5), 5981–5986.
 
Babbar, C., Amin, S.H. (2018). A multi-objective mathematical model integrating environmental concerns for supplier selection and order allocation based on fuzzy QFD in beverages industry. Expert Systems with Applications, 92, 27–38.
 
Baskar, C., Parameshwaran, R., Nithyavathy, N. (2020). Implementation of fuzzy-based integrated framework for sesame seed separator development. Soft Computing, 24(10), 7715–7734.
 
Beheshtinia, M.A., Farzaneh Azad, M. (2019). A fuzzy QFD approach using SERVQUAL and kano models under budget constraint for hotel services. Total Quality Management and Business Excellence, 30(7–8), 808–830.
 
Bevilacqua, M., Ciarapica, F.E., Marchetti, B. (2012). Development and test of a new fuzzy-QFD approach for characterizing customers rating of extra virgin olive oil. Food Quality and Preference, 24(1), 75–84.
 
Bhuvanesh Kumar, M., Parameshwaran, R. (2018). Fuzzy integrated QFD, FMEA framework for the selection of lean tools in a manufacturing organisation. Production Planning and Control, 29(5), 403–417.
 
Bhuvanesh Kumar, M., Parameshwaran, R. (2020). A comprehensive model to prioritize lean tools for manufacturing industries: a fuzzy FMEA, AHP and QFD-based approach. International Journal of Services and Operations Management, 37(2), 170–196.
 
Bilişik, Ö.N., Şeker, Ş., Aydın, N., Güngör, N., Baraçlı, H. (2019). Passenger satisfaction evaluation of public transportation in İstanbul by using fuzzy quality function deployment methodology. Arabian Journal for Science and Engineering, 44(3), 2811–2824.
 
Büyüközkan, G., Güleryüz, S. (2015). Extending fuzzy QFD methodology with GDM approaches: An application for IT planning in collaborative product development. International Journal of Fuzzy Systems, 17(4), 544–558.
 
Büyüközkan, G., Uztürk, D. (2020). Smart fridge design with interval-valued intuitionistic fuzzy QFD. Advances in Intelligent Systems and Computing, 1029, 1170–1179.
 
Büyüközkan, G., Güler, M., Mukul, E. (2020). An integrated fuzzy QFD methodology for customer oriented multifunctional power bank design. Studies in Systems, Decision and Control, 279, 73–91.
 
Celik, M., Cebi, S., Kahraman, C., Er, I.D. (2009). An integrated fuzzy QFD model proposal on routing of shipping investment decisions in crude oil tanker market. Expert Systems with Applications, 36(3 PART 2), 6227–6235.
 
Chang, W. (2012). A new perspective on EFL teaching: applying fuzzy QFD in TRIZ for teaching quality improvement. International Journal of Systematic Innovation, 2(2), 43–53.
 
Chen, R. (2016). Green design quality management in industrial Chain using fuzzy decision tree and QFD. International Journal of Productivity and Quality Management, 19(3), 345–365.
 
Chen, C., Huang, S. (2011). Implementing KM programmes using fuzzy QFD. Total Quality Management and Business Excellence, 22(4), 387–406.
 
Chiadamrong, N., Tham, T.T. (2017). An integrated approach with SEM, fuzzy-QFD and MLP for supply chain management strategy development. International Journal of Logistics Systems and Management, 28(1), 84–125.
 
Chowdhury, M.M.H., Quaddus, M.A. (2016). A multi-phased QFD based optimization approach to sustainable service design. International Journal of Production Economics, 171, 165–178.
 
Cuong, B. (2015). Picture fuzzy sets. Journal of Computer Science and Cybernetics, 30(4), 409.
 
Çevik Onar, S., Büyüközkan, G., Öztayşi, B., Kahraman, C. (2016). A new hesitant fuzzy QFD approach: an application to computer workstation selection. Applied Soft Computing Journal, 46, 1–16.
 
Dat, L.Q., Phuong, T.T., Kao, H., Chou, S., Nghia, P.V. (2015). A new integrated fuzzy QFD approach for market segments evaluation and selection. Applied Mathematical Modelling, 39(13), 3653–3665.
 
De Almeida, M.F.L., Silva Da Luz, C.E., De Andrade Martins, G. (2018). Fuzzy quality function deployment (fuzzy-QFD) applied to new defense product development. Paper presented at the Towards Sustainable Technologies and Innovation. In: Proceedings of the 27th Annual Conference of the International Association for Management of Technology, IAMOT 2018.
 
Deveci, M., Öner, S.C., Canıtez, F., Öner, M. (2019). Evaluation of service quality in public bus transportation using interval-valued intuitionistic fuzzy QFD methodology. Research in Transportation Business and Management, 33, 100387.
 
Efe, B., Yerlikaya, M.A., Efe, Ö.F. (2020). Mobile phone selection based on a novel quality function deployment approach. Soft Computing, 24(20), 15447–15461.
 
Fan, J., Yu, S., Yu, M., Chu, J., Tian, B., Li, W., Chen, C. (2020). Optimal selection of design scheme in cloud environment: a novel hybrid approach of multi-criteria decision-making based on F-ANP and F-QFD. Journal of Intelligent and Fuzzy Systems, 38(3), 3371–3388.
 
Fitriana, R., Kurniawan, W., Anwar, M.R. (2019). Measurement and proposal of improving marketing process to improve the quality of aftersales services with fuzzy quality function deployment and data mining methods in OV agency. IOP Conference Series: Materials Science and Engineering, 528(1), 012072.
 
Hakim, A., Gheitasi, M., Soltani, F. (2016). Fuzzy model on selecting processes in business process reengineering. Business Process Management Journal, 22(6), 1118–1138.
 
Haktanır, E. (2020). Prioritization of competitive suppliers using an interval-valued Pythagorean fuzzy QFD & COPRAS methodology. Journal of Multiple-Valued Logic & Soft Computing, 34(1/2), 177–199.
 
Haktanır, E., Kahraman, C. (2019). A novel interval-valued Pythagorean fuzzy QFD method and its application to solar photovoltaic technology development. Computers and Industrial Engineering, 132, 361–372.
 
Haktanır, E., Kahraman, C., Kutlu Gündoğdu, F. (2021). Delivery drone design using spherical fuzzy quality function deployment. Studies in Fuzziness and Soft Computing, 392, 399–430.
 
Haq, A.N., Boddu, V. (2017). Analysis of enablers for the implementation of leagile supply chain management using an integrated fuzzy QFD approach. Journal of Intelligent Manufacturing, 28(1), 1–12.
 
Hong, W., Wang, H. (2005). Fuzzy QFD approach to developing an integrated service strategy. International Journal of Fuzzy Systems, 7(3), 120–132.
 
Jafarzadeh, H., Akbari, P., Abedin, B. (2018). A methodology for project portfolio selection under criteria prioritisation, uncertainty and projects interdependency – combination of fuzzy QFD and DEA. Expert Systems with Applications, 110, 237–249.
 
Jamalnia, A., Mahdiraji, H.A., Sadeghi, M.R., Hajiagha, S.H.R., Feili, A. (2014). An integrated fuzzy QFD and fuzzy goal programming approach for global facility location-allocation problem. International Journal of Information Technology and Decision Making, 13(2), 263–290.
 
Juan, Y., Perng, Y., Castro-Lacouture, D., Lu, K. (2009). Housing refurbishment contractors selection based on a hybrid fuzzy-QFD approach. Automation in Construction, 18(2), 139–144.
 
Kahraman, C., Ertay, T., Büyüközkan, G. (2006). A fuzzy optimization model for QFD planning process using analytic network approach. European Journal of Operational Research, 171(2), 390–411.
 
Kang, X. (2020). Aesthetic product design combining with rough set theory and fuzzy quality function deployment. Journal of Intelligent and Fuzzy Systems, 39(1), 1131–1146.
 
Kang, X., Yang, M., Wu, Y., Ni, B. (2018). Integrating evaluation grid method and fuzzy quality function deployment to new product development. Mathematical Problems in Engineering, 2018, 2451470.
 
Karasan, A., Kahraman, C. (2019). A novel intuitionistic fuzzy DEMATEL – ANP – TOPSIS integrated methodology for freight village location selection. Journal of Intelligent & Fuzzy Systems, 36, 1335–1352.
 
Kavosi, M., Mavi, R.K. (2011). Fuzzy quality function deployment approach using TOPSIS and analytic hierarchy process methods. International Journal of Productivity and Quality Management, 7(3), 304–324.
 
Kayapınar, S., Erginel, N. (2019). Designing the airport service with fuzzy QFD based on SERVQUAL integrated with a fuzzy multi-objective decision model. Total Quality Management and Business Excellence, 30(13–14), 1429–1448.
 
Keshteli, R.N., Davoodvandi, E. (2017). Using fuzzy AHP and fuzzy TOPSIS in fuzzy QFD: a case study in ceramic and tile industry of Iran. International Journal of Productivity and Quality Management, 20(2), 197–216.
 
Khademi-Zare, H., Zarei, M., Sadeghieh, A., Saleh Owlia, M. (2010). Ranking the strategic actions of Iran mobile cellular telecommunication using two models of fuzzy QFD. Telecommunications Policy, 34(11), 747–759.
 
Kutlu Gündoğdu, F., Kahraman, C. (2019). Spherical fuzzy sets and spherical fuzzy TOPSIS method. Journal of Intelligent and Fuzzy Systems, 36(1), 337–352.
 
Kutlu Gündoğdu, F., Kahraman, C. (2020). A novel spherical fuzzy QFD method and its application to the linear delta robot technology development. Engineering Applications of Artificial Intelligence, 87, 103348.
 
Lee, G.H., Park, S.H. (2021). Fuzzy QFD-based prioritization of work activities of construction for safety. ICIC Express Letters, Part B: Applications, 12(1), 1–8.
 
Lee, Z., Pai, C., Yang, C. (2012). Customer needs and technology analysis in new product development via fuzzy QFD and Delphi. WSEAS Transactions on Business and Economics, 9(1), 1–15.
 
Li, S., Tang, D., Wang, Q., Zhu, H. (2020). Analysis and extraction of consumer information for the evaluation of design requirement depending on consumer involvement. Mechanisms and Machine Science, 77, 342–353.
 
Liu, A., Hu, H., Zhang, X., Lei, D. (2017). Novel two-phase approach for process optimization of customer collaborative design based on fuzzy-QFD and DSM. IEEE Transactions on Engineering Management, 64(2), 193–207.
 
Liu, H. (2009). The extension of fuzzy QFD: From product planning to part deployment. Expert Systems with Applications, 36(8), 11131–11144.
 
Liu, S., Zhang, Y., Lai, Y., Wang, M. (2018). A novel method of design elements based on EGM and fuzzy QFD. International Journal of Product Development, 22(5), 408–420.
 
Lu, C., Lin, L., Yeh, H. (2019). A multi-phased FQFD for the design of brand revitalisation. Total Quality Management and Business Excellence, 30(7–8), 848–871.
 
Ma, H., Chu, X., Li, Y. (2019a). An integrated approach to identify function components for product redesign based on analysis of customer requirements and failure risk. Journal of Intelligent and Fuzzy Systems, 36(2), 1743–1757.
 
Ma, H., Chu, X., Xue, D., Chen, D. (2019b). Identification of to-be-improved components for redesign of complex products and systems based on fuzzy QFD and FMEA. Journal of Intelligent Manufacturing, 30(2), 623–639.
 
Milunovic Koprivica, S., Filipovic, J. (2018). Application of traditional and fuzzy quality function deployment in the product development process. Engineering Management Journal, 30(2), 98–107.
 
Mohanraj, R., Sakthivel, M., Vinodh, S., Vimal, K.E.K. (2015). A framework for VSM integrated with fuzzy QFD. TQM Journal, 27(5), 616–632.
 
Mousavi, S.M., Malekly, H., Hashemi, H., Mojtahedi, S.M.H. (2008). A two-phase fuzzy decision making methodology for bridge scheme selection. In: 2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008, pp. 415–419.
 
Nejatian, M., Zarei, M.H. (2013). Moving towards organizational agility: are we improving in the right direction? Global Journal of Flexible Systems Management, 14(4), 241–253.
 
Noorul Haq, A., Boddu, V. (2015). An integrated fuzzy QFD and TOPSIS approach to enhance leanness in supply Chain. International Journal of Business Performance and Supply Chain Modelling, 7(2), 171–188.
 
Ocampo, L.A., Labrador, J.J.T., Jumao-as, A.M.B., Rama, A.M.O. (2020). Integrated multiphase sustainable product design with a hybrid quality function deployment – multi-attribute decision-making (QFD-MADM) framework. Sustainable Production and Consumption, 24, 62–78.
 
Osiro, L., Lima-Junior, F.R., Carpinetti, L.C.R. (2018). A group decision model based on quality function deployment and hesitant fuzzy for selecting supply chain sustainability metrics. Journal of Cleaner Production, 183, 964–978.
 
Osorio-Gómez, J.C., Manotas-Duque, D.F. (2018). Fuzzy QFD and TOPSIS for dispatching prioritization in maritime transportation considering operational risk. Best Practices in Manufacturing Processes: Experiences from Latin America, 97–116.
 
Palanisamy, P., Zubar, H.A. (2013). Hybrid MCDM approach for vendor ranking. Journal of Manufacturing Technology Management, 24(6), 905–928.
 
Piengang, F.C.N., Beauregard, Y., Kenné, J. (2019). An APS software selection methodology integrating experts and decisions-maker’s opinions on selection criteria: a case study. Cogent Engineering, 6(1), 1594509.
 
Rattawut, V. (2016). Integration of Fuzzy-QFD and AHP base on a fuzzy scale for mini-CNC milling machine retrofit. In: 2015 World Congress on Industrial Control Systems Security, WCICSS 2015, pp. 89–94.
 
Raut, R.D., Mahajan, V.C. (2015). A new strategic approach of fuzzy-quality function deployment and analytical hierarchy process in construction industry. International Journal of Logistics Systems and Management, 20(2), 260–290.
 
Roghanian, E., Alipour, M. (2014). A fuzzy model for achieving lean attributes for competitive advantages development using AHP-QFD-PROMETHEE. Journal of Industrial Engineering International, 10(3), 68.
 
Seker, S. (2020a). Fuzzy AHP-QFD methodology and its application to retail chain. Advances in Intelligent Systems and Computing, 1029, 1189–1197.
 
Seker, S. (2020b). Fuzzy quality function Deployment Method for smart phone product design. Studies in Systems, Decision and Control, 279, 57–71.
 
Senthilkannan, N., Parameshwaran, R. (2019). Performance analysis and quality improvement using fuzzy MCDM and lean tools in a paper industry. International Journal of Integrated Supply Management, 12(3), 205–229.
 
Shuofang, L., Yang, Z., Yuchung, L., Minghong, W. (2018). Study methods of design elements based on EGM and fuzzy QFD. In: 2018 International Conference on Engineering Simulation and Intelligent Control, ESAIC 2018, pp. 83–86.
 
Smarandache, F. (1998). Neutrosophy: Neutrosophic Probability, Set, and Logic, Analytic Synthesis & Synthetic Analysis. American Research Press, pp. 105.
 
Sohn, S.Y., Choi, I.S. (2001). Fuzzy QFD for supply chain management with reliability consideration. Reliability Engineering and System Safety, 72(3), 327–334.
 
Su, C., Lin, C. (2008). A case study on the application of fuzzy QFD in TRIZ for service quality improvement. Quality and Quantity, 42(5), 563–578.
 
Tavana, M., Mousavi, N., Golara, S. (2013). A fuzzy-QFD approach to balanced scorecard using an analytic network process. International Journal of Information and Decision Sciences, 5(4), 331–363.
 
Taylan, O. (2013). A hybrid methodology of fuzzy grey relation for determining multi attribute customer preferences of edible oil. Applied Soft Computing Journal, 13(5), 2981–2989.
 
Tsai, C., Lo, C., Chang, A.C. (2003). Using fuzzy qfd to enhance manufacturing strategic planning. Journal of the Chinese Institute of Industrial Engineers, 20(1), 33–41.
 
Verma, D., Chilakapati, R., Fabrycky, W.J. (1998). Analyzing a quality function deployment matrix: an expert system-based approach to identify inconsistencies and opportunities. Journal of Engineering Design, 9(3), 252–262.
 
Vinodh, S., Chintha, S.K. (2011). Application of fuzzy QFD for enabling sustainability. International Journal of Sustainable Engineering, 4(4), 313–322.
 
Vinodh, S., Manjunatheshwara, K.J., Karthik Sundaram, S., Kirthivasan, V. (2017). Application of fuzzy quality function deployment for sustainable design of consumer electronics products: a case study. Clean Technologies and Environmental Policy, 19(4), 1021–1030.
 
Vongvit, R., Kongprasert, N., Fournaise, T., Collange, T. (2017). Integration of fuzzy-QFD and TRIZ methodology for product development. In: 2017 3rd International Conference on Control, Automation and Robotics, ICCAR 2017, pp. 326–329.
 
Wang, C. (2019). Integrating a novel intuitive fuzzy method with quality function deployment for product design: case study on touch panels. Journal of Intelligent and Fuzzy Systems, 37(2), 2819–2833.
 
Wang, D., Yu, H., Wu, J., Meng, Q., Lin, Q. (2019). Integrating fuzzy based QFD and AHP for the design and implementation of a hand training device. Journal of Intelligent and Fuzzy Systems, 36(4), 3317–3331.
 
Wang, F., Li, X., Rui, W., Zhang, Y. (2007). A fuzzy QFD-based method for customizing positioning of logistics service products of 3PLS. In: 2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007, pp. 3326–3329.
 
Wang, H., Fang, Z., Wang, D., Liu, S. (2020). An integrated fuzzy QFD and grey decision-making approach for supply chain collaborative quality design of large complex products. Computers and Industrial Engineering, 140, 106212.
 
Xiao, S., Wu, J., He, E., Yang, Z. (2015). Identification of software NFR based on the fuzzy-QFD model. International Journal of Security and its Applications, 9(11), 145–154.
 
Yaakob, A.M., Gegov, A. (2015). Fuzzy rule based approach with z-numbers for selection of alternatives using TOPSIS. In: 2015 IEEE International Conference on Fuzzy Systems.
 
Yager, R.R. (2013). Pythagorean fuzzy subsets. In: Joint IFSA World Congress and NAFIPS Annual Meeting, Edmonton, Canada, pp. 57–61.
 
Yang, M., Li, Y., Liu, Y., Gao, X. (2010). A method for problem selection in the $6\sigma $ definition stage. Advanced Materials Research, 139–141, 1485–1489.
 
Yang, S., Ong S, K., c. Nee A, Y. (2013). Design for remanufacturing – a fuzzy-QFD approach. In: Re-Engineering Manufacturing for Sustainability – Proceedings of the 20th CIRP International Conference on Life Cycle Engineering, pp. 655–661.
 
Yazdani, M., Kahraman, C., Zarate, P., Onar, S.C. (2019). A fuzzy multi attribute decision framework with integration of QFD and grey relational analysis. Expert Systems with Applications, 115, 474–485.
 
Yu, L., Wang, L., Bao, Y. (2018). Technical attributes ratings in fuzzy QFD by integrating interval-valued intuitionistic fuzzy sets and Choquet integral. Soft Computing, 22(6), 2015–2024.
 
Zadeh, L.A. (1965). Fuzzy Sets. Information and Control, 8(3), 338–353.
 
Zadeh, L.A. (2011). A note on Z-numbers. Information Sciences, 181(14), 2923–2932.
 
Zaim, S., Sevkli, M., Camgöz-Akdağ, H., Demirel, O.F., Yesim Yayla, A., Delen, D. (2014). Use of ANP weighted crisp and fuzzy QFD for product development. Expert Systems with Applications, 41(9), 4464–4474.
 
Zhang, Z., Yang, J., Ye, Y., Hu, Y., Zhang, Q. (2012). A type of score function on intuitionistic fuzzy sets with double parameters and its application to pattern recognition and medical diagnosis. Procedia Engineering, 29, 4336–4342.

Biographies

Haktanir Elif
https://orcid.org/
elif.haktanir@altinbas.edu.tr

E. Haktanır is currently a lecturer at Altinbas University. She received her MSc and PhD degrees in industrial engineering from Istanbul Technical University. Her research interests are fuzzy decision making, multi-criteria decision making, statistical decision making, quality control and management, and new product development. She is an organization committee member of International Conference on Intelligent and Fuzzy Systems, INFUS. Her refereed articles have appeared in a variety of journals including Computers & Industrial Engineering, Journal of Intelligent & Fuzzy Systems, Journal of Multiple-Valued Logic & Soft Computing.

Kahraman Cengiz
kahramanc@itu.edu.tr

C. Kahraman received his MSc and Phd degrees in industrial engineering from Istanbul Technical University. He is on the editorial board of some journals such as International Journal of Computational Intelligence Systems (Atlantis Press), Journal of Enterprise Information Management (Emerald), New Mathematics and Natural Computation (World Scientific), and Human and Ecological Risk Assessment (Taylor And Francis). He has also been the guest editor of special issues of some international journals such as Information Sciences (Elsevier), Journal of Enterprise Information Management (Emerald), International Journal of Approximate Reasoning (Elsevier), Human and Ecological Risk Assessment, and Stochastic Environmental Research and Risk Assessment. He is the editor of the Springer books Fuzzy Applications in Industrial Engineering, Fuzzy Multi-Criteria Decision Making: Theory and Applications with Recent Developments, Fuzzy Engineering Economics with Applications, Intelligence Systems in Environmental Management: Theory and Applications, Computational Intelligence Systems in Industrial Engineering, Fuzzy Statistical Decision-Making – Theory and Applications, Production Engineering and Management under Fuzziness, Fuzzy Logic in Its 50th Year: New Developments, Directions and Challenges, Supply Chain Management Under Fuzziness Recent Developments and Techniques, Intelligent Techniques in Engineering Management Theory and Applications, and Intelligent Decision Making in Quality Management Theory and Applications.


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Keywords
quality function deployment interval-valued intuitionistic fuzzy sets Z-fuzzy numbers Chebyshev’s inequality new product design

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