A comprehensive review on recent developments in quality function deployment

Originally developed in Japan in the late 1960s and based on the concepts of quality control and value engineering, quality function deployment (QFD) has been considered a useful tool for product development. It can effectively translate customer requirements into appropriate engineering characteristics for each stage of product development and production such as planning, product design, production process development and manufacture. This paper aims to provide a more balanced review of QFD that exhibits enough depth to be useful to researchers as well as enough breadth to cater for amateur readers. The focus is on materials published between 2005 and 2009. Previous reviews on QFD are commented and followed by reviews on recent developments of new methodologies, technical improvements and integration of QFD with other tools. The reviewed methodologies include fuzzy set theory, multicriteria decision analysis model, artificial neural network and hybrid approaches. Resource allocation, Kano's model, failure mode and effects analysis, robust design and an assortment of other recently developed tools are reviewed and evaluated in the context of their integration with QFD in an effort to improve the effectiveness and applicability of QFD in product design.

[1]  S. R. Devadasan,et al.  Innovative Quality Function Deployment in an Indian automobile electrical accessories manufacturing company: an implementation study , 2008 .

[2]  Richard Y. K. Fung,et al.  Estimating the functional relationships for quality function deployment under uncertainties , 2006, Fuzzy Sets Syst..

[3]  Kurt Matzler,et al.  How to make product development projects more successful by integrating Kano's model of customer satisfaction into quality function deployment , 1998 .

[4]  D. Tripathi,et al.  Relationship between TQM and TPM implementation factors and business performance of manufacturing industry in Indian context , 2005 .

[5]  A. Chaudhuri,et al.  Linking quality function deployment with conjoint study for new product development process , 2005, INDIN '05. 2005 3rd IEEE International Conference on Industrial Informatics, 2005..

[6]  Yu-Cheng Lee,et al.  Quality function deployment implementation based on Fuzzy Kano model: An application in PLM system , 2008, Comput. Ind. Eng..

[7]  A. Charnes,et al.  Data Envelopment Analysis Theory, Methodology and Applications , 1995 .

[8]  Ying-Shen Juang,et al.  An integrated information system for product design planning , 2008, Expert Syst. Appl..

[9]  Richard Y. K. Fung,et al.  A quality-engineering-based approach for conceptual product design , 2007 .

[10]  Liang-Hsuan Chen,et al.  Fuzzy linear programming models for new product design using QFD with FMEA , 2009 .

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

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

[13]  Deok-Hwan Kim,et al.  Robust QFD: framework and a case study , 2007, Qual. Reliab. Eng. Int..

[14]  Deyi Xue,et al.  Importance measures for customer requirements and technical attributes in fuzzy environment , 2006 .

[15]  Yoji Akao,et al.  Quality Function Deployment : Integrating Customer Requirements into Product Design , 1990 .

[16]  Ming-Chyuan Lin,et al.  A Strategy for Managing Customer-oriented Product Design , 2006, Concurr. Eng. Res. Appl..

[17]  J.-C. Thomassian,et al.  Engineering course design based on Quality Function Deployment (QFD) Principles: Incorporation of diverse constituencies and continuous improvement , 2008, 2008 38th Annual Frontiers in Education Conference.

[18]  Kampan Mukherjee,et al.  Development of an AHP-QFD framework for designing a tourism product , 2008 .

[19]  Ingrid Bouwer Utne,et al.  Improving the environmental performance of the fishing fleet by use of Quality Function Deployment (QFD) , 2009 .

[20]  Gülçin Büyüközkan,et al.  A fuzzy optimization model for QFD planning process using analytic network approach , 2006, Eur. J. Oper. Res..

[21]  Genichi Taguchi.  System Of Experimental Design: Engineering Methods To Optimize Quality And Minimize Costs , 1987 .

[22]  Liang Li,et al.  An Overview on the Mathematical Models of Quality Function Deployment , 2008, 2008 International Symposium on Information Science and Engineering.

[23]  Jiafu Tang,et al.  An optimization method for components selection using quality function deployment , 2008 .

[24]  K. Tan,et al.  Integrating Kano's model in the planning matrix of quality function deployment , 2000 .

[25]  Min Xie,et al.  Ranking of customer requirements in a competitive environment , 2008, Comput. Ind. Eng..

[26]  R. Y. K. Fung,et al.  Fuzzy expected value modelling approach for determining target values of engineering characteristics in QFD , 2005 .

[27]  Satish C. Jain,et al.  Simultaneous optimal selection of design and manufacturing tolerances with different stack-up conditions using genetic algorithms , 2003 .

[28]  Eric W.T. Ngai,et al.  A fuzzy QFD program modelling approach using the method of imprecision , 2008 .

[29]  V. Bouchereau,et al.  Analytical approaches to QFD , 1999 .

[30]  Y. Chen,et al.  A methodology of determining aggregated importance of engineering characteristics in QFD , 2007, Comput. Ind. Eng..

[31]  Da Ruan,et al.  Fuzzy group decision-making to multiple preference formats in quality function deployment , 2007, Comput. Ind..

[32]  Ming-Chyuan Lin,et al.  Using AHP and TOPSIS approaches in customer-driven product design process , 2008, Comput. Ind..

[33]  Nancy C. Praizier,et al.  The Qfd Book: The Team Approach to Solving Problems and Satisfying Customers Through Quality Function Deployment , 1993 .

[34]  Glenn Shafer,et al.  A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.

[35]  Che A-da,et al.  Goal Programming in Quality Function Deployment Using Genetic Algorithm , 2007, 2007 International Conference on Management Science and Engineering.

[36]  Yizeng Chen,et al.  A non-linear possibilistic regression approach to model functional relationships in product planning , 2006 .

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

[38]  Arash Shahin,et al.  Integration of CRM and QFD , 2008 .

[39]  Jian-Bo Yang,et al.  An evidential reasoning based approach for quality function deployment under uncertainty , 2009, Expert Syst. Appl..

[40]  Jae Hyun Park,et al.  A quality function deployment methodology with signal and noise ratio for improvement of Wasserman’s weights , 2005 .

[41]  Deok-Hwan Kim,et al.  Robustness indices and robust prioritization in QFD , 2009, Expert Syst. Appl..

[42]  Denis Gien,et al.  Integrating Six Sigma and maintenance excellence with QFD , 2009 .

[43]  Kwang-Jae Kim,et al.  An extended QFD planning model for selecting design requirements with longitudinal effect consideration , 2008, Expert Syst. Appl..

[44]  Chee-Cheng Chen,et al.  Integration of quality function deployment and process management in the semiconductor industry , 2009 .

[45]  Tomohiko Sakao,et al.  A QFD-centred design methodology for environmentally conscious product design , 2007 .

[46]  Da Ruan,et al.  Quality function deployment implementation based on analytic network process with linguistic data: An application in automotive industry , 2005, J. Intell. Fuzzy Syst..

[47]  Tsai-Chi Kuo,et al.  Fuzzy Eco-Design Product Development by Using Quality Function Deployment , 2005, 2005 4th International Symposium on Environmentally Conscious Design and Inverse Manufacturing.

[48]  Kampan Mukherjee,et al.  A QFD Approach to Addressing the Impacts of Tourism Development , 2008 .

[49]  Paulo Augusto Cauchick Miguel,et al.  Review, analysis and classification of the literature on QFD—Types of research, difficulties and benefits , 2008 .

[50]  Chiang Kao,et al.  Fractional programming approach to fuzzy weighted average , 2001, Fuzzy Sets Syst..

[51]  Shiang-Tai Liu.  Rating design requirements in fuzzy quality function deployment via a mathematical programming approach , 2005 .

[52]  Nam P. Suh,et al.  Axiomatic Design: Advances and Applications , 2001 .

[53]  Seyed Hossein Iranmanesh,et al.  Design Parameter Estimation using a Modified QFD Method to Improve Customer Perception , 2005, Concurr. Eng. Res. Appl..

[54]  Andrea Raggi,et al.  A newly developed integrated environment-quality approach for the design of hotel services , 2006 .

[55]  Ying-Feng Kuo,et al.  Revised planning matrix of quality function deployment , 2008 .

[56]  Chun-Yu Lin,et al.  Preliminary study of a fuzzy integrated model for new product development of TFT-LCD , 2008, 2008 IEEE International Conference on Service Operations and Logistics, and Informatics.

[57]  Ramu Ramanathan,et al.  An Introduction to Data Envelopment Analysis , 2003 .

[58]  Sunday Ayoola Oke,et al.  Application of QFD and VA tools in the design of an automobile , 2009 .

[59]  S. R. Devadasan,et al.  Theory and practice of total quality function deployment , 2006 .

[60]  Yan Li,et al.  ANN-Based Fuzzy Reasoning to Determine the Importance of Technical Requirements in QFD , 2008, 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing.

[61]  L. Mu,et al.  A Multi-Objective Fuzzy Model of QFD Product Planning Model Considering Nonlinear Relationship , 2007, 2007 International Conference on Wireless Communications, Networking and Mobile Computing.

[62]  António M. Gonçalves-Coelho,et al.  Improving the use of QFD with Axiomatic Design , 2005, Concurr. Eng. Res. Appl..

[63]  Yian-Kui Liu,et al.  Expected value of fuzzy variable and fuzzy expected value models , 2002, IEEE Trans. Fuzzy Syst..

[64]  Erik K. Antonsson,et al.  Aggregation functions for engineering design trade-offs , 1995, Fuzzy Sets Syst..

[65]  R. E. Young,et al.  Quality function deployment: an overview , 1994 .

[66]  Byung Rae Cho,et al.  The interconnectedness among auxiliary benefits and supporting practices within the Quality Function Deployment process , 2007 .

[67]  G. S. Alʹtshuller,et al.  And Suddenly the Inventor Appeared: TRIZ, the Theory of Inventive Problem Solving , 1996 .

[68]  Anoop Desai,et al.  Work in progress - Developing a curriculum for a minor in ‘sustainability’ by the incorporation of quality function deployment (QFD) techniques , 2009, 2009 39th IEEE Frontiers in Education Conference.

[69]  S. R. Devadasan,et al.  Integrating TPM and QFD for improving quality in maintenance engineering , 2006 .

[70]  Li Pheng Khoo,et al.  A rough set based QFD approach to the management of imprecise design information in product development , 2009, Adv. Eng. Informatics.

[71]  Genichii Taguchi,et al.  Introduction to quality engineering. designing quality into products a , 1986 .

[72]  Jiunn-I Shieh,et al.  Integration of environmental considerations in quality function deployment by using fuzzy logic , 2009, Expert Syst. Appl..

[73]  A.C. Brombacher,et al.  Dynamic benchmarking methodology for quality function deployment , 2008, 2008 IEEE International Conference on Industrial Engineering and Engineering Management.

[74]  Jerzy W. Grzymala-Busse,et al.  Rough Sets , 1995, Commun. ACM.

[75]  Shan-Huo Chen.  Ranking fuzzy numbers with maximizing set and minimizing set , 1985 .

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

[77]  Francesco Aggogeri,et al.  The Effectiveness of the Quality Function Deployment in Managing Manufacturing and Transactional Processes , 2007 .

[78]  Dakun Zhang,et al.  Prioritizing design requirement in fuzzy quality function deployment , 2008, 2008 IEEE International Conference on Service Operations and Logistics, and Informatics.

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

[80]  Richard Y. K. Fung,et al.  A fuzzy expected value-based goal programing model for product planning using quality function deployment , 2005 .

[81]  Hon Keung Yau,et al.  The relationship between quality management and the speed of new product development , 2009 .

[82]  Liang-Hsuan Chen,et al.  A fuzzy model for exploiting quality function deployment , 2003 .

[83]  Louis Cohen,et al.  Quality Function Deployment: How to Make QFD Work for You , 1995 .

[84]  Li Pheng Khoo,et al.  A rough set enhanced fuzzy approach to quality function deployment , 2008 .

[85]  James L. Bossert,et al.  Quality Function Deployment , 2021, Quality Function Deployment.

[86]  Vince Thomson,et al.  Competitive advantage by adjusting design characteristics to satisfy cost targets , 2008 .

[87]  G. Kannan,et al.  Implementation of Fuzzy Quality Function Deployment in an Automobile Component to Improve the Quality Characteristics , 2008 .

[88]  Mujde Erol Genevois,et al.  Green product design for EEE , 2009, 2009 International Conference on Computers & Industrial Engineering.

[89]  Yai Hsiung,et al.  Integrating Competition Strategy to QFD for Technical Design , 2006, JCIS.

[90]  Keijiro Masui,et al.  Applying Quality Function Deployment to environmentally conscious design , 2003 .

[91]  Ramakrishnan Ramanathan,et al.  Incorporating cost and environmental factors in quality function deployment using data envelopment analysis , 2009 .

[92]  William L. Moore,et al.  A Comparison of Quality Function Deployment and Conjoint Analysis in New Product Design , 2002 .

[93]  Elim Liu,et al.  A structural component-based approach for designing product family , 2005, Comput. Ind..

[94]  Reza Baradaran Kazemzadeh,et al.  Integration of marketing research techniques into house of quality and product family design , 2009 .

[95]  Liang-Hsuan Chen,et al.  A fuzzy nonlinear model for quality function deployment considering Kano's concept , 2008, Math. Comput. Model..

[96]  Zaifang Zhang,et al.  Fuzzy group decision-making for multi-format and multi-granularity linguistic judgments in quality function deployment , 2009, Expert Syst. Appl..

[97]  Brian H. Kleiner,et al.  Advantages and disadvantages of group decision‐ making approaches , 1996 .

[98]  Reginald B. H. Tan,et al.  The New International Standards for Life Cycle Assessment: ISO 14040 and ISO 14044 , 2006 .

[99]  Wei Chen,et al.  Product Attribute Function Deployment (PAFD) for Decision-Based Conceptual Design , 2009, IEEE Transactions on Engineering Management.

[100]  Min Xie,et al.  QFD optimization using linear physical programming , 2006 .

[101]  L. Zadeh.  Fuzzy sets as a basis for a theory of possibility , 1999 .

[102]  Kemper Lewis,et al.  Conjoint-HoQ: A quantitative methodology for consumer-driven design , 2007, DAC 2007.

[103]  D. Chang.  Applications of the extent analysis method on fuzzy AHP , 1996 .

[104]  Colin Burvill,et al.  Enhancing the Quality Function Deployment Conceptual Design Tool , 2007 .

[105]  Min Xie,et al.  Dynamic Programming for QFD Optimization , 2005 .

[106]  KhooLi Pheng,et al.  Integrating Rough Numbers with Interval Arithmetic: A Novel Approach to QFD Analysis , 2007 .

[107]  Byung Rae Cho,et al.  Solving Multiresponse Optimization Problems Using Quality Function–Based Robust Design , 2008 .

[108]  Eleonora Bottani,et al.  A FUZZY QFD APPROACH TO ACHIEVE AGILITY , 2009 .

[109]  Nam P. Suh,et al.  principles in design , 1990 .

[110]  Jui-Chin Jiang,et al.  Reconstruct QFD for integrated product and process development management , 2007 .

[111]  S. R. Devadasan,et al.  Infusing agility, innovation and quality in products: an integrated effort through the agile ITQFD technique , 2008 .

[112]  Min Xie,et al.  Dealing with subjectivity in early product design phase: A systematic approach to exploit Quality Function Deployment potentials , 2008, Comput. Ind. Eng..

[113]  R. Ramanathan.  An Introduction to Data Envelopment Analysis: A Tool for Performance Measurement , 2003 .