An approach for manufacturing strategy development based on fuzzy-QFD

Today most research related to manufacturing strategy development concentrates on descriptive processes and conceptual models, and therefore lacks the capability of assessing the supportive degree of manufacturing strategy to competitive priorities, and is also difficult to assess the congruence among various decisions of the manufacturing strategy. This paper proposes an approach for manufacturing strategy development based on quality function deployment (QFD). The study starts by analyzing the process of manufacturing strategy development and the features of QFD. Thereafter, a methodology related to manufacturing strategy development based on QFD is developed, which comprises two stages and eleven steps. This approach uses QFD as a transforming device to link competitive factors with manufacturing decision categories such as structural decision categories and infrastructural categories, and uses QFD as a main tool in different stages of manufacturing strategy development process. This paper also integrates fuzzy set theory and house of quality (HOQ) in order to provide a structural tool to capture the inherent imprecision and vagueness of decision-relevant inputs and to facilitate the analysis of decision-relevant QFD information. A case is given to illustrate the utilization of the proposed approach at the end of this paper.

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

[2]  Jinwoo Park,et al.  Development of a decision-support system for the formulation of manufacturing strategy , 2002 .

[3]  Atanu Chaudhuri,et al.  A combined QFD and integer programming framework to determine attribute levels for conjoint study , 2009 .

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

[5]  G. Facchinetti,et al.  Note on ranking fuzzy triangular numbers , 1998 .

[6]  Ahmad Rasdan Ismail,et al.  Application of quality function deployment to study critical service quality characteristics and performance measures , 2009 .

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

[8]  Miryam Barad,et al.  Strategy maps as improvement paths of enterprises , 2008 .

[9]  Gin-Shuh Liang,et al.  Applying fuzzy quality function deployment to identify service management requirements for customer quality needs , 2008 .

[10]  Thomas J. Crowe,et al.  Using quality function deployment in manufacturing strategic planning , 1996 .

[11]  Hefin Rowlands,et al.  Methods and techniques to help quality function deployment (QFD) , 2000 .

[12]  Vito Albino,et al.  FUZZY LOGIC IN VENDOR RATING: A COMPARISON BETWEEN A FUZZY LOGIC SYSTEM AND A NEURAL NETWORK , 1998 .

[13]  M. Chuang,et al.  Production technology selection: Deploying market requirements, competitive and operational strategies, and manufacturing attributes , 2009, Int. J. Comput. Integr. Manuf..

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

[15]  Zülal Güngör,et al.  A new mixed integer linear programming model for product development using quality function deployment , 2009, Comput. Ind. Eng..

[16]  Gerald W. Evans,et al.  Fuzzy multicriteria models for quality function deployment , 2000, Eur. J. Oper. Res..

[17]  Juite Wang,et al.  Fuzzy outranking approach to prioritize design requirements in quality function deployment , 1999 .

[18]  Li Pheng Khoo,et al.  Framework of a fuzzy quality function deployment system , 1996 .

[19]  Kristina Säfsten,et al.  Analysis of the congruence between manufacturing strategy and production system in SMME , 2002, Comput. Ind..

[20]  K. Platts,et al.  Manufacturing Audit in the Process of Strategy Formulation , 1990 .

[21]  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..

[22]  Min Xie,et al.  The implementation of quality function deployment based on linguistic data , 2001, J. Intell. Manuf..

[23]  Jan Olhager,et al.  The house of flexibility: using the QFD approach to deploy manufacturing flexibility , 2002 .

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

[25]  Sevin Sozer,et al.  Product planning in quality function deployment using a combined analytic network process and goal programming approach , 2003 .

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

[27]  Jinxing Xie,et al.  An intelligent hybrid system for customer requirements analysis and product attribute targets determination , 1998 .

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

[29]  Patrick G. Brown,et al.  QFD: Echoing the voice of the customer , 1991, AT&T Technical Journal.

[30]  Carl R. Anderson,et al.  An exploratory study of the manufacturing strategy process in practice , 1990 .

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

[32]  E. Lee,et al.  Comparison of fuzzy numbers based on the probability measure of fuzzy events , 1988 .

[33]  Nikos I. Karacapilidis,et al.  A computerized knowledge management system for the manufacturing strategy process , 2006, Comput. Ind..

[34]  Soung Hie Kim,et al.  Using analytic network process and goal programming for interdependent information system project selection , 2000, Comput. Oper. Res..

[35]  R. Yager,et al.  On ranking fuzzy numbers using valuations , 1999 .

[36]  Jan Olhager,et al.  Quantification in manufacturing strategy : a methodology and illustration , 2006 .

[37]  S. Wheelwright,et al.  Restoring Our Competitive Edge: Competing Through Manufacturing , 1984 .

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

[39]  E. Hisdal The philosophical issues raised by fuzzy set theory , 1988 .

[40]  Francisco Herrera,et al.  Multiperson decision-making based on multiplicative preference relations , 2001, Eur. J. Oper. Res..

[41]  Francisco Herrera,et al.  Integrating three representation models in fuzzy multipurpose decision making based on fuzzy preference relations , 1998, Fuzzy Sets Syst..

[42]  Fiorenzo Franceschini,et al.  DESIGN FOR QUALITY: SELECTING A PRODUCT'S TECHNICAL FEATURES , 1997 .

[43]  Filippo Emanuele Ciarapica,et al.  A FUZZY-QFD APPROACH TO SUPPLIER SELECTION , 2006 .

[44]  E. Ertugrul Karsak,et al.  Fuzzy multiple objective programming framework to prioritize design requirements in quality function deployment , 2004, Comput. Ind. Eng..

[45]  G. S. Dangayach,et al.  Manufacturing strategy: Literature review and some issues , 2001 .

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

[47]  Rajesh Jugulum,et al.  Building a robust manufacturing strategy , 1998 .

[48]  Marc Lambrecht,et al.  Buffer Stock Allocation in Serial and Assembly Type of Production Lines , 1990 .

[49]  Felisa M. Córdova,et al.  Application of the analytic hierarchy process in manufacturing strategy formulation , 2003 .

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

[51]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[52]  Andy Neely,et al.  Testing manufacturing strategy formulation processes , 1998 .

[53]  Miryam Barad,et al.  House of Strategy (HOS): from strategic objectives to competitve priorities , 2006 .

[54]  Miryam Barad,et al.  Linking improvement models to manufacturing strategies - a methodology for SMEs and other enterprises , 2001 .