Advertisement

Examination of Factors Affecting Customer Oriented Product Design in Automotive Industry

  • Cigdem KadaifciEmail author
  • Irem Ucal Sari
Chapter
  • 20 Downloads
Part of the Studies in Systems, Decision and Control book series (SSDC, volume 279)

Abstract

Existing competitive environment leads manufacturers to focus on customer expectations more than ever. One of the reasons behind this focus is that the design concepts which are flexible to customer needs add incredible value to the product. In this chapter, customer oriented product design for an automobile is examined according to design concepts and their causal relationships using fuzzy cognitive mapping (FCM) to help automotive industry to be customer focused. Individual assessments are used in the analysis rather than aggregate them to obtain common customer’s preferences. It is found that the relations and the steady states of the concepts are differentiated among the customers. The results of the study can be used as a road map for automotive industry for customer oriented product design.

References

  1. 1.
    Ahmadi, S., Yeh, C.H., Papageorgiou, E.I., Martin, R.: An FCM–FAHP approach for managing readiness-relevant activities for ERP implementation. Comput. Ind. Eng. 88, 501–517 (2015)CrossRefGoogle Scholar
  2. 2.
    Ahmadi, S., Forouzideh, N., Alizadeh, S., Papageorgiou, E.: Learning fuzzy cognitive maps using imperialist competitive algorithm. Neural Comput. Appl. 26(6), 1333–1354 (2015)CrossRefGoogle Scholar
  3. 3.
    Axelrod, R.: The analysis of cognitive maps. Struct. Decis. 55–73 (1976)Google Scholar
  4. 4.
    Blom, J., Josefsson, A.: (2013). Customer-oriented product development: an explorative study within a car manufacturer. Master Thesis. Department of Product and Production Development, Chalmers University of Technology, Gothenburg, SwedenGoogle Scholar
  5. 5.
    Bueno, S., Salmeron, J.L.: Benchmarking main activation functions in fuzzy cognitive maps. Expert Syst. Appl. 36(3), 5221–5229 (2009)CrossRefGoogle Scholar
  6. 6.
    Cheah, W.P., Kim, Y.S., Kim, K.Y., Yang, H.J.: Systematic causal knowledge acquisition using FCM constructor for product design decision support. Expert Syst. Appl. 38(12), 15316–15331 (2011)CrossRefGoogle Scholar
  7. 7.
    Chen, R.Y.: Intelligent IoT-based tracing system for backward design using FCM and fuzzy rule. In: 2013 Fourth Global Congress on Intelligent Systems, pp. 229–233. IEEE (2013)Google Scholar
  8. 8.
    Chen, R.Y.: Autonomous tracing system for backward design in food supply chain. Food Control 51, 70–84 (2015)CrossRefGoogle Scholar
  9. 9.
    Chen, R.Y.: Fuzzy dual experience-based design evaluation model for integrating engineering design into customer responses. Int. J. Interact. Design Manuf. (IJIDeM) 10(4), 439–458 (2016)MathSciNetCrossRefGoogle Scholar
  10. 10.
    Dai, W H.: Customer oriented product design by adaptive clustering analysis. In Applied Mechanics and Materials, vol. 26, pp. 690–693. Trans Tech Publications (2010)Google Scholar
  11. 11.
    Dong, Y., Guo, G., Liu, W.: Requirement elicitation in product emotional design using fuzzy clustering and fuzzy cognitive model. Proc. Inst. Mech. Eng. B J. Eng. Manuf. 228(1), 156–160 (2014)CrossRefGoogle Scholar
  12. 12.
    Efe, B.: Fuzzy cognitive map based quality function deployment approach for dishwasher machine selection. Appl. Soft Comput. 83, 105660 (2019)CrossRefGoogle Scholar
  13. 13.
    Elarusi, A., Attar, A., Lee, H.: Optimal design of a thermoelectric cooling/heating system for car seat climate control (CSCC). J. Electron. Mater. 46(4), 1984–1995 (2017)CrossRefGoogle Scholar
  14. 14.
    Ellis, D.S., Jacobs, L.W.: Marketing utilities: a new look. J. Acad. Mark. Sci. 5(1–2), 21–26 (1977)CrossRefGoogle Scholar
  15. 15.
    Fornasiero, R., Carpanzano, E.: Advances in customer-oriented manufacturing and value chain management. Int. J. Comput. Integr. Manuf. 30(7), 677–679 (2017)CrossRefGoogle Scholar
  16. 16.
    Gologlu, C., Mizrak, C.: An integrated fuzzy logic approach to customer-oriented product design. J. Eng. Des. 22(2), 113–127 (2011)CrossRefGoogle Scholar
  17. 17.
    He, C., Sun, X., Xiao, W.: Research on evaluation of CMF based on vision in automobile seat design. In: International Conference on Applied Human Factors and Ergonomics, pp. 146–158. Springer, Cham (2019)Google Scholar
  18. 18.
    Hu, J., Fang, J., Qiu, R., Wu, Y.: Customer requirement analysis of engineering project safety management intelligent system. ICCREM 2018: Innovative Technology and Intelligent Construction, pp. 252–262. American Society of Civil Engineers, Reston, VA (2018)CrossRefGoogle Scholar
  19. 19.
    Ibragimova, E., Vermeeren, A., Vink, P., Mueller, N., Verboom, L.: The smart steering wheel cover design: a case study of industrial-academic collaboration in human-computer interaction. In: International Conference on HCI in Business, pp. 688–698. Springer, Cham (2015)Google Scholar
  20. 20.
    İlhan, E.Ü., Çelik, H.: Perceived quality and craftsmanship—common terminology proposal for automotive world with guidance of Kansei engineering. In: Advances in Affective and Pleasurable Design, pp. 391–399. Springer, Cham (2017)Google Scholar
  21. 21.
    Jie, Y., Yu, Y., Chuan, Z., Xiaolei, W., Qiang, Z.: Customer’s kansei cognition model in product shape design. J. Comput. Aided Design Comput. Graph. 22(3), 538–544 (2010)Google Scholar
  22. 22.
    Kabasakal, I., Keskin, F. D., Ventura, K., Soyuer, H.: From mass customization to product personalization in automotive industry: potentials of industry 4.0. J. Manage. Market. Logistics 4(3), 244–250 (2017)Google Scholar
  23. 23.
    Khalid, H.M., Helander, M.G.: A framework for affective customer needs in product design. Theor. Issues Ergon. Sci. 5(1), 27–42 (2004)CrossRefGoogle Scholar
  24. 24.
    Kosko, B.: Fuzzy cognitive maps. Int. J. Man Mach. Stud. 24(1), 65–75 (1986)CrossRefGoogle Scholar
  25. 25.
    Kumar, A., Mangla, S.K., Luthra, S., Rana, N.P., Dwivedi, Y.K.: Predicting changing pattern: building model for consumer decision making in digital market. J. Enterp. Inf. Manage. 31(5), 674–703 (2018)CrossRefGoogle Scholar
  26. 26.
    Lin, M.C., Chen, L.A.: An integrated prototyping and knowledge representation procedure for customer-oriented product design. Int. J. Prod. Dev. 2(4), 353–370 (2005)CrossRefGoogle Scholar
  27. 27.
    Lin, M.C., Chen, L.A.: A matrix approach to the customer-oriented product design. Concurrent Eng. 13(2), 95–109 (2005)CrossRefGoogle Scholar
  28. 28.
    Lin, M.C., Chen, M.S., Lin, C.C., Lin, C.P.: A customer-oriented decision-making procedure for the design of electronic viewfinder interchangeable lens cameras. In: Concurrent Engineering Approaches for Sustainable Product Development in a Multi-disciplinary Environment, pp. 969–980. Springer, London (2013)Google Scholar
  29. 29.
    Lin, M.C., Lin, Y.H., Liu, S.F., Chen, M.S.: An integrated analysis of customer requirements for bicycle leisure activity functional clothing design. In: Advances in Ergonomics in Design, pp. 391–403. Springer, Cham (2016)Google Scholar
  30. 30.
    Lin, M.C., Wang, C.C., Chen, T.C.: A strategy for managing customer-oriented product design. Concurrent Eng. 14(3), 231–244 (2006)CrossRefGoogle Scholar
  31. 31.
    Matzler, K., Hinterhuber, H.H., Bailom, F., Sauerwein, E.: How to delight your customers. J. Prod. Brand Manage. 5(2), 6–18 (1996)CrossRefGoogle Scholar
  32. 32.
    Miao, Y., Liu, Y., Chen, Y., Zhou, J., Ji, P.: Two uncertain chance-constrained programming models to setting target levels of design attributes in quality function deployment. Inf. Sci. 415, 156–170 (2017)CrossRefGoogle Scholar
  33. 33.
    Mohammed, A., Hussain, M.I., Zain, Z.B.: Application of user centered design for customer requirement in design process for automotive manufacturing organizations. IOSR J. Mech. Civil Eng. 14(2), 27–31 (2017)Google Scholar
  34. 34.
    Nahm, Y.E.: New competitive priority rating method of customer requirements for customer-oriented product design. Int. J. Precision Eng. Manuf. 14(8), 1377–1385 (2013)CrossRefGoogle Scholar
  35. 35.
    Nahm, Y.E.: A novel approach to prioritize customer requirements in QFD based on customer satisfaction function for customer-oriented product design. J. Mech. Sci. Technol. 27(12), 3765–3777 (2013)CrossRefGoogle Scholar
  36. 36.
    Nepal, B., Yadav, O.P., Murat, A.: A fuzzy-AHP approach to prioritization of CS attributes in target planning for automotive product development. Expert Syst. Appl. 37(10), 6775–6786 (2010)CrossRefGoogle Scholar
  37. 37.
    Papageorgiou, E.I., Markinos, A., Gemptos, T.: Application of fuzzy cognitive maps for cotton yield management in precision farming. Expert Syst. Appl. 36(10), 12399–12413 (2009)CrossRefGoogle Scholar
  38. 38.
    Papakostas, G.A., Boutalis, Y.S., Koulouriotis, D.E., Mertzios, B.G.: Fuzzy cognitive maps for pattern recognition applications. Int. J. Pattern Recogn. Artif. Intell. 22(08), 1461–1486 (2008)CrossRefGoogle Scholar
  39. 39.
    Ren, H., Tan, Y., Zhang, N.: Research on form design of automotive dashboard based on Kansei engineering. In: IOP conference series: materials science and engineering, vol. 573, No. 1, p. 012090. IOP Publishing (2019)Google Scholar
  40. 40.
    Salmeron, J.L., Mansouri, T., Moghadam, M.R.S., Mardani, A.: Learning fuzzy cognitive maps with modified asexual reproduction optimisation algorithm. Knowl. Based Syst. 163, 723–735 (2019)CrossRefGoogle Scholar
  41. 41.
    Sioukas, A.V.: User involvement for effective customization: an empirical study on voice networks. IEEE Trans. Eng. Manage. 42(1), 39–49 (1995)CrossRefGoogle Scholar
  42. 42.
    Storto, C.L.: Small group problem-solving and knowledge creation: a fuzzy cognitive maps investigation. Adv. Sci. Lett. 22(5–6), 1282–1286 (2016)CrossRefGoogle Scholar
  43. 43.
    Taha, Z., Alli, H., Rashid, A., Hanim, S.: Users’ requirements and preferences in the success of a new product: a case study of automotive design. In: Applied Mechanics and Materials, vol. 215, pp. 484–488. Trans Tech Publications (2012)Google Scholar
  44. 44.
    Tama, I.P., Azlia, W., Hardiningtyas, D.: Development of customer oriented product design using Kansei engineering and Kano model: Case study of ceramic souvenir. Procedia Manuf. 4, 328–335 (2015)CrossRefGoogle Scholar
  45. 45.
    Tsadiras, A.K.: Comparing the inference capabilities of binary, trivalent and sigmoid fuzzy cognitive maps. Inf. Sci. 178(20), 3880–3894 (2008)CrossRefGoogle Scholar
  46. 46.
    Townsend, V., Urbanic, J.: Fuzzy cognitive modeling with users for design system analysis. Res. Eng. Des. 1–29 (2019)Google Scholar
  47. 47.
    Ulrich, K.T., Eppinger, S.D.: Product Design and Development, 5th edn. McGraw-Hill (2012)Google Scholar
  48. 48.
    Uzochukwu, B.M., Udoka, S.J., Balogun, F.: Development and implementation of product sustainment simulator utilizing fuzzy cognitive map (FCM). Benchmarking: Int. J. 23(2), 425–442 (2016)Google Scholar
  49. 49.
    Wang, F., Li, H., Liu, A., Zhang, X.: Hybrid customer requirements rating method for customer-oriented product design using QFD. J. Syst. Eng. Electron. 26(3), 533–543 (2015)CrossRefGoogle Scholar
  50. 50.
    Wu, K., Liu, J., Chi, Y.: Wavelet fuzzy cognitive maps. Neurocomputing 232, 94–103 (2017)CrossRefGoogle Scholar
  51. 51.
    Xirogiannis, G., Glykas, M., Staikouras, C.: Fuzzy cognitive maps in banking business process performance measurement. In: Fuzzy Cognitive Maps, pp. 161–200. Springer, Berlin, Heidelberg (2010)Google Scholar
  52. 52.
    Xu, Y., Chen, G., Zheng, J.: An integrated solution—KAGFM for mass customization in customer-oriented product design under cloud manufacturing environment. Int. J. Adv. Manuf. Technol. 84(1–4), 85–101 (2016)CrossRefGoogle Scholar
  53. 53.
    Yong, D.: Plant location selection based on fuzzy TOPSIS. Int. J. Adv. Manuf. Technol. 28, 839–844 (2006)CrossRefGoogle Scholar
  54. 54.
    You, H., Ryu, T., Oh, K., Yun, M.H., Kim, K.J.: Development of customer satisfaction models for automotive interior materials. Int. J. Ind. Ergon. 36(4), 323–330 (2006)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Management Faculty, Industrial Engineering DepartmentIstanbul Technical UniversityIstanbulTurkey

Personalised recommendations