A proposed computer system on Kano model for new product development and innovation aspect: A case study is conducted by an attractive attribute of automobile

Voice of Customer is important for new product development. New product development is a complex task in which a great deal of human physical resources, methods, and tools are involved. One of the well- appreciated models is Kano model for customer needs study for product development. Customer requirements are an important component of new product development. The customer expectations to the technical requirements of products are also necessary for new product development. The success of a new product development process for a desired customer satisfaction is sensitive to the customer needs assessment process. In most cases, customer needs of a product or product family are incorporated by setting the customer requirements and their relative importance in the first house of quality of QFD. This procedure is practically informal and does not present an obvious link between customer satisfaction and product attribute. In this view, Kano Model is a superior choice. Kano model has two dimensional questionnaires regarding customer satisfaction, i.e. functional and dysfunctional. Both functional and dysfunctional answer is determined Kano evaluation (product attribute). A computer system has been developed using the Monte-Carlo Simulation technique to simulate functional and dysfunctional answers independently and subsequently the Kano evaluation. Using this system one can determine the minimal number of respondents make a reliable conclusion for a definite product attribute. A case study is conducted for system verification by an attractive attribute regarding Kano model about an automobile. Keywords : Kano Model, Attributes of Product, New Product Development and Innovation, Monte-Carlo Simulation International Journal of Engineering, Science and Technology , Vol. 2, No. 9, 2010, pp. 1-12

[1]  Paul Kauffmann,et al.  Integration of Kano's Model Into QFD for Multiple Product Design , 2007, IEEE Transactions on Engineering Management.

[2]  Lieberman,et al.  Introduction To Operations Research Eight Edition (Pending)HIlang) , 2005 .

[3]  Ibo van de Poel,et al.  Methodological problems in QFD and directions for future development , 2007 .

[4]  Frederick S. Hillier,et al.  Introduction of Operations Research , 1967 .

[5]  Tyson R. Browning,et al.  On customer value and improvement in product development processes , 2003 .

[6]  P. Walley.  Statistical Reasoning with Imprecise Probabilities , 1990 .

[7]  Kikuo Fujita,et al.  Survey and Analysis of Utilization of Tools and Methods in Product Development , 2006 .

[8]  Hermann Kaindl,et al.  Space systems verification program and management process: Importance of Implementing a Distributed-Verification Program with Standardized Modular-Management Process , 2008 .

[9]  Gert de Cooman,et al.  Imprecise probability trees: Bridging two theories of imprecise probability , 2008, Artif. Intell..

[10]  Joseph E. Kasser,et al.  How lessons learned from using QFD led to the evolution of a process for creating quality requirements for complex systems , 2007, Syst. Eng..

[11]  Hideki Kobayashi,et al.  A systematic approach to eco-innovative product design based on life cycle planning , 2006, Adv. Eng. Informatics.

[12]  Chun-Chih Chen,et al.  Integrating the Kano model into a robust design approach to enhance customer satisfaction with product design , 2008 .

[13]  Yu-Cheng Lee,et al.  A new fuzzy concept approach for Kano's model , 2009, Expert Syst. Appl..

[14]  N. Kano,et al.  Attractive Quality and Must-Be Quality , 1984 .

[15]  Tyson R. Browning,et al.  Key concepts in modeling product development processes , 2006, Syst. Eng..

[16]  Xi Yang,et al.  An analytical Kano model for customer need analysis , 2009 .

[17]  Tyson R. Browning,et al.  Key concepts in modeling product development processes , 2006 .

[18]  Eleonora Bottani,et al.  Strategic management of logistics service: A fuzzy QFD approach , 2006 .

[19]  A. M. M. Sharif Ullah,et al.  Analysis of Kano‐model‐based customer needs for product development , 2011, Syst. Eng..

[20]  Yan-Kwang Chen,et al.  Application of neural networks and Kano's method to content recommendation in web personalization , 2009, Expert Syst. Appl..

[21]  Tzong-Ru Lee,et al.  Application of TRIZ and the Kano method to home life industry innovation , 2010 .

[22]  Jie Xu,et al.  An integrated method of rough set, Kano's model and AHP for rating customer requirements' final importance , 2009, Expert Syst. Appl..