Applying repertory grids technique for knowledge elicitation in quality function deployment

The repertory grids technique is applied in quality function deployment to elicit the voice of the customers and to derive the importance for each customer requirement from a group of customers. In addition, the repertory grids technique can be used in the relationship matrix to quantify the numerical relationships between customer requirements and technical measures from a group of team members. An integration of the repertory grids technique and quality function deployment would make quality function deployment systematically to gather customer needs for better product or service planning and to determine the relationships between customer requirements and technical measures since the final analyses rely heavily on the results of this relationship matrix. A case illustration is provided to show the usefulness of applying the repertory grids technique in quality function deployment.

[1]  Joseph Moses Juran,et al.  Quality Planning and Analysis: From Product Development Through Usage , 1982 .

[2]  Ming-Lu Wu,et al.  A systematic approach to quality function deployment with a full illustrative example , 2005 .

[3]  Lai K. Chan,et al.  PRIORITIZING THE TECHNICAL MEASURES IN QUALITY FUNCTION DEPLOYMENT , 1998 .

[4]  Ping Wang,et al.  Using grey theory in quality function deployment to analyse dynamic customer requirements , 2005 .

[5]  Hsin-Hung Wu,et al.  Applying a markov chain model in quality function deployment , 2008 .

[6]  Min Xie,et al.  LISTENING TO THE FUTURE VOICE OF THE CUSTOMER USING FUZZY TREND ANALYSIS IN QFD , 2001 .

[7]  F. M. Gryna.  Quality planning and analysis , 1970 .

[8]  Hsin-Hung Wu,et al.  Applying a hidden Markov chain model in quality function deployment to analyze dynamic customer requirements , 2009 .

[9]  Mohamed Zairi,et al.  Key enablers for the effective implementation of QFD: a critical analysis , 2005, Ind. Manag. Data Syst..

[10]  Hsin-Hung Wu,et al.  A power law-based quality function deployment in decision-making processes , 2006 .

[11]  Abbie Griffin,et al.  The Voice of the Customer , 1993 .

[12]  Hsing-Pei Kao,et al.  Rating the importance of customer needs in quality function deployment by fuzzy and entropy methods , 1999 .

[13]  J. Hauser,et al.  The House of Quality , 1988 .

[14]  Hsin-Hung Wu,et al.  Using a Markov chain model in quality function deployment to analyse customer requirements , 2006 .

[15]  A. Huff,et al.  STRATEGIC GROUPS: A COGNITIVE PERSPECTIVE , 1993 .

[16]  Ming-Lu Wu,et al.  Quality function deployment: A literature review , 2002, Eur. J. Oper. Res..

[17]  Fiorenzo Franceschini,et al.  An application of quality function deployment to industrial training courses , 1998 .

[18]  Min Xie,et al.  An integrated approach to innovative product development using Kano’s model and QFD , 2000 .

[19]  Gwo-Jen Hwang.  Knowledge elicitation and integration from multiple experts , 1992, Proceedings ICCI `92: Fourth International Conference on Computing and Information.

[20]  Keith Swigger,et al.  Validation of the repertory grid for use in modeling knowledge , 1992 .

[21]  G. Kelly.  The Psychology of Personal Constructs , 2020 .

[22]  Ming-Lu Wu,et al.  Quality Function Deployment: A Comprehensive Review of Its Concepts and Methods , 2002 .

[23]  Hsin-Hung Wu,et al.  Applying grey model to prioritise technical measures in quality function deployment , 2006 .

[24]  G. Neimeyer.  Applications of Repertory Grid Technique to Vocational Assessment , 1989 .

[25]  Kenneth M. Ford,et al.  An Approach to Knowledge Acquisition Based on the Structure of Personal Construct Systems , 1991, IEEE Trans. Knowl. Data Eng..

[26]  Tobias Ley,et al.  Identifying Employee Competencies in Dynamic Work Domains: Methodological Considerations and a Case Study , 2003, J. Univers. Comput. Sci..

[27]  Miyoung Jeong,et al.  Quality function deployment: An extended framework for service quality and customer satisfaction in the hospitality industry , 1998 .

[28]  Min Xie,et al.  Prioritizing quality characteristics in dynamic quality function deployment , 2006 .

[29]  Richard Adams,et al.  Perceptions of innovations: exploring and developing innovation classification , 2003 .