Green supply implementation based on fuzzy QFD: an application in GPLM system

Quality function deployment (QFD) has been widely used in many fields; it is one of the structured approaches that are used to translate customer needs into specific quality development. However, in the traditional QFD approach, each element's interdependence and customer requirements (CRs) for green supply are not usually treated systematically. The important function of green product lifecycle management (GPLM) is to develop an attractive system which ensures customer satisfaction for green supply. Therefore, one of the important topics in the development of the GPLM system is to take into green consideration. This study presents an integrative approach by incorporating GPLM with fuzzy analysis into the matrix of QFD and obtaining the priority ranking of engineering characteristics (ECs). To illustrate these findings, we have incorporated an example which suggests that the proposed approach can contribute to the creation of attractive GPLM attributes and GPLM innovation. Several ECs and CRs are identified and analyzed. The results of this study can provide an effective procedure for improving a product's design characteristics under GPLM, enhancing customer satisfaction, and launching a green product in the marketplace.

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

[2]  Andre A. Keller,et al.  Fuzzy multi-objective optimization modeling with mathematica , 2009 .

[3]  Sui Pheng Low,et al.  A fuzzy quality function deployment system for buildable design decision-makings , 2003 .

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

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

[6]  Mohammad Saleh Owlia,et al.  Ranking the strategic actions of Iran mobile cellular telecommunication using two models of fuzzy QFD , 2010 .

[7]  So Young Sohn,et al.  Fuzzy QFD for supply chain management with reliability consideration , 2001, Reliab. Eng. Syst. Saf..

[8]  HAKAN TOZAN,et al.  Fuzzy forecasting applications on supply chains , 2008 .

[9]  Didier Dubois,et al.  Fuzzy sets and systems ' . Theory and applications , 2007 .

[10]  Irina Khutsishvili,et al.  The combined decision making technology based on the statistical and fuzzy analysis and its application in forecast's modeling , 2009 .

[11]  Li Pheng Khoo,et al.  Towards a QFD-based expert system: A novel extension to fuzzy QFD methodology using rough set theory , 2010, Expert Syst. Appl..

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

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

[14]  Chih-Chung Lo,et al.  USING FUZZY QFD TO ENHANCE MANUFACTURING STRATEGIC PLANNING , 2003 .

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

[16]  Don Gunther,et al.  Quality Function Deployment - How to Make QFD Work for You , 2000 .

[17]  Y. Zhang,et al.  Green QFD-II: A life cycle approach for environmentally conscious manufacturing by integrating LCA and LCC into QFD matrices , 1999 .

[18]  C. Voloşencu Properties of fuzzy systems , 2009 .

[19]  Susan Carlson Skalak House of Quality , 2002 .

[20]  Jiafu Tang,et al.  Rating technical attributes in fuzzy QFD by integrating fuzzy weighted average method and fuzzy expected value operator , 2006, Eur. J. Oper. Res..

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

[22]  Ching-Torng Lin,et al.  A Fuzzy Logic-Based Approach for Implementing Quality Function Deployment , 2003 .

[23]  Ashraf Labib,et al.  A Fuzzy Quality Function Deployment (FQFD) model for deriving optimum targets , 2001 .

[24]  Ming Zhou Fuzzy logic and optimization models for implementing QFD , 1998 .

[25]  Hans-Jürgen Zimmermann,et al.  Fuzzy Set Theory - and Its Applications , 1985 .

[26]  Michael W. Grieves,et al.  Product Lifecycle Management: Driving the Next Generation of Lean Thinking , 2005 .

[27]  Jao-Hong Cheng,et al.  An application of fuzzy Delphi and fuzzy AHP for multi-criteria evaluation model of fourth party logistics , 2008 .

[28]  Liang-Hsuan Chen,et al.  An evaluation approach to engineering design in QFD processes using fuzzy goal programming models , 2006, Eur. J. Oper. Res..

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

[30]  Mao-Jiun J. Wang,et al.  Ranking fuzzy numbers with integral value , 1992 .

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

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

[33]  Antti Saaksvuori,et al.  Product lifecycle management , 2004 .

[34]  Jirava Pavel,et al.  Modelling of rough-fuzzy classifier , 2008 .

[35]  Didier Dubois,et al.  Ranking fuzzy numbers in the setting of possibility theory , 1983, Inf. Sci..