A multicriteria approach based on fuzzy QFD for choosing criteria for supplier selection

Display Omitted Proposes a method to aid the choice and weighting of criteria to supplier selection.Combines fuzzy QFD with a classification procedure based on a two dimensional grid.Assesses the difficulty to get data to evaluate the suppliers on each criterion.The type of item is considered to define of the list of requirements and criteria.The method classifies the criteria into groups so as to guide the final selection. This paper proposes a new multicriteria decision making method to aid the choice and weighting of criteria to be used in the supplier selection process. The method combines the fuzzy QFD technique for weighting the criteria with a procedure for assessing the difficulty to obtain information to evaluate the suppliers on each criterion. The choice and weighting of the criteria derive from a systematic procedure based on the use of linguistic terms to judge the importance of the related requirements and the intensity of the relationship between requirements and criteria. In the final step, the proposed method classifies the criteria into four groups (priority, critical, complementary and costly) so as to guide the final choice of criteria. The method was implemented in Excel and applied to a pilot case in an automotive company, which classified the criteria into groups so as to guide the decision in the final selection. Competitive price, delivery in full on time, product conformance and quality certification were categorized into the priority group meaning that they should be used in the supplier selection process. On the other hand, commitment to cost reduction, financial situation, responsiveness to demand change, commitment to quality improvement and potential for collaboration were classified as critical, meaning that they are important but they require a bigger effort of data collection. The results of the application were considered by the decision makers as consistent and aligned with the strategic competitive priorities of the supply chain. Differently from other studies, the type of item as well as the type of supply chain was formally considered in the determination of the initial list of requirements and criteria. Moreover, final selection of the set of criteria is also dependent on the linguistic evaluation of the degree of difficulty of data collection.

[1]  Chun-Wei R. Lin,et al.  A fuzzy strategic alliance selection framework for supply chain partnering under limited evaluation resources , 2004, Comput. Ind..

[2]  Jafar Razmi,et al.  An integrated fuzzy model for supplier management: A case study of ISP selection and evaluation , 2009, Expert Syst. Appl..

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

[4]  P. K. Humphreysa,et al.  Integrating environmental criteria into the supplier selection process , 2015 .

[5]  Xiaowei Xu,et al.  Multi-criteria decision making approaches for supplier evaluation and selection: A literature review , 2010, Eur. J. Oper. Res..

[6]  Alessio Ishizaka,et al.  Calibrated fuzzy AHP for current bank account selection , 2013, Expert Syst. Appl..

[7]  David J. Barnes,et al.  A literature review of decision-making models and approaches for partner selection in agile supply chains , 2011 .

[8]  K. Kirytopoulos,et al.  Supplier selection in pharmaceutical industry , 2008 .

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

[10]  Constantine S. Katsikeas,et al.  Supply source selection criteria: The impact of supplier performance on distributor performance , 2004 .

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

[12]  Sevinç Ilhan Omurca,et al.  An intelligent supplier evaluation, selection and development system , 2013, Appl. Soft Comput..

[13]  J. Rittscher,et al.  Integration of supplier selection, procurement lot sizing and carrier selection under dynamic demand conditions , 2007 .

[14]  A. Ishizaka,et al.  The 18C's model for a successful long-term outsourcing arrangement , 2012 .

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

[16]  Gülçin Büyüközkan,et al.  A novel fuzzy multi-criteria decision framework for sustainable supplier selection with incomplete information , 2011, Comput. Ind..

[17]  Richard Y. K. Fung,et al.  Design targets determination for inter‐dependent product attributes in QFD using fuzzy inference , 1999 .

[18]  A. Buvik,et al.  Inter-firm cooperation and the problem of free riding behavior: an empirical study of voluntary retail chains , 2003 .

[19]  Charbel José Chiappetta Jabbour,et al.  Selecting green suppliers based on GSCM practices: Using fuzzy TOPSIS applied to a Brazilian electronics company , 2014, Eur. J. Oper. Res..

[20]  Y. Wind,et al.  Industrial buying and creative marketing , 1967 .

[21]  Sławomir Biruk,et al.  Assessing contractor selection criteria weights with fuzzy AHP method application in group decision environment , 2010 .

[22]  Ching-Ter Chang,et al.  Global supplier selection using fuzzy analytic hierarchy process and fuzzy goal programming , 2010 .

[23]  Gary W. Dickson,et al.  AN ANALYSIS OF VENDOR SELECTION SYSTEMS AND DECISIONS , 1966 .

[24]  J. Bertrand,et al.  Operations management research methodologies using quantitative modeling , 2002 .

[25]  Madeleine E. Pullman,et al.  AN ANALYSIS OF THE SUPPLIER SELECTION PROCESS , 1998 .

[26]  Michael E. Wasserman,et al.  THINKING DIFFERENTLY ABOUT PURCHASING PORTFOLIOS: AN ASSESSMENT OF SUSTAINABLE SOURCING , 2010 .

[27]  Cornelia Dröge,et al.  Wholesale operations and vendor evaluation , 1990 .

[28]  Lyès Benyoucef,et al.  Simulation based fuzzy TOPSIS approach for group multi-criteria supplier selection problem , 2012, Eng. Appl. Artif. Intell..

[29]  Gülsen Aydin Keskin,et al.  The Fuzzy ART algorithm: A categorization method for supplier evaluation and selection , 2010, Expert Syst. Appl..

[30]  Chong Wu,et al.  A dynamic feedback model for partner selection in agile supply chains , 2012 .

[31]  K. Tan,et al.  Supplier Selection and Assessment: Their Impact on Business Performance , 2002 .

[32]  Chih-Hung Wu,et al.  Fuzzy DEMATEL method for developing supplier selection criteria , 2011, Expert Syst. Appl..

[33]  Nursel Öztürk,et al.  Supplier selection and performance evaluation in just-in-time production environments , 2011, Expert Syst. Appl..

[34]  K. Govindan,et al.  A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach , 2013 .

[35]  Lima-JuniorFrancisco Rodrigues,et al.  A multicriteria approach based on fuzzy QFD for choosing criteria for supplier selection , 2016 .

[36]  Witold Pedrycz,et al.  Fuzzy Systems Engineering , 2007 .

[37]  W. A. Tiao,et al.  House of quality: A fuzzy logic-based requirements analysis , 1999, Eur. J. Oper. Res..

[38]  W. C. Benton,et al.  Vendor selection criteria and methods , 1991 .

[39]  Daniel Castro-Lacouture,et al.  Housing refurbishment contractors selection based on a hybrid fuzzy-QFD approach , 2009 .

[40]  Witold Pedrycz,et al.  Fuzzy Systems Engineering - Toward Human-Centric Computing , 2007 .

[41]  Mikael Frödell Criteria for achieving efficient contractor‐supplier relations , 2011 .

[42]  V. Mani,et al.  Supplier selection using social sustainability: AHP based approach in India , 2014 .

[43]  E. Ertugrul Karsak,et al.  A QFD-based fuzzy MCDM approach for supplier selection , 2013 .

[44]  Chia-Wei Hsu,et al.  A multi-criteria decision-making approach for evaluating carbon performance of suppliers in the electronics industry , 2014, International Journal of Environmental Science and Technology.

[45]  Ozcan Kilincci,et al.  Fuzzy AHP approach for supplier selection in a washing machine company , 2011, Expert Syst. Appl..

[46]  Kannan Govindan,et al.  Analyzing supplier development criteria for an automobile industry , 2010, Ind. Manag. Data Syst..

[47]  Lotfi A. Zadeh,et al.  Outline of a New Approach to the Analysis of Complex Systems and Decision Processes , 1973, IEEE Trans. Syst. Man Cybern..

[48]  A. M. Fet,et al.  What is required for greener supplier selection? A literature review and conceptual model development , 2013 .

[49]  Ardeshir Bahreininejad,et al.  Sustainable supplier selection: A ranking model based on fuzzy inference system , 2012, Appl. Soft Comput..

[50]  Lauro Osiro,et al.  A fuzzy logic approach to supplier evaluation for development , 2014 .

[51]  A. Hatami-Marbini,et al.  An Extension of the Electre I Method for Group Decision-Making Under a Fuzzy Environment , 2011 .

[52]  L. V. D. Wegen,et al.  Outranking methods in support of supplier selection , 1998 .

[53]  T. Cheng,et al.  The relationship between supplier management and firm's operational performance: A multi-dimensional perspective , 2012 .

[54]  Feyzan Arikan,et al.  A fuzzy solution approach for multi objective supplier selection , 2013, Expert Syst. Appl..

[55]  S. Vinodh,et al.  Application of fuzzy analytic network process for supplier selection in a manufacturing organisation , 2011, Expert Syst. Appl..

[56]  Madjid Tavana,et al.  An integrated green supplier selection approach with analytic network process and improved Grey relational analysis , 2015 .

[57]  Ana Beatriz Lopes de Sousa Jabbour,et al.  Are supplier selection criteria going green? Case studies of companies in Brazil , 2009, Ind. Manag. Data Syst..

[58]  Alessio Ishizaka,et al.  AHPSort: an AHP-based method for sorting problems , 2012 .

[59]  Madeleine Järsjö,et al.  Purchasing Must Become Supply Management , 2013 .

[60]  David J. Barnes,et al.  Formulating partner selection criteria for agile supply chains: A Dempster-Shafer belief acceptability optimisation approach , 2010 .

[61]  Alessio Ishizaka,et al.  Comparison of fuzzy logic, AHP, FAHP and hybrid fuzzy AHP for new supplier selection and its performance analysis , 2014 .

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

[63]  Francisco Rodrigues Lima Junior,et al.  A fuzzy inference and categorization approach for supplier selection using compensatory and non-compensatory decision rules , 2013, Appl. Soft Comput..

[64]  Arpan Kumar Kar,et al.  A hybrid group decision support system for supplier selection using analytic hierarchy process, fuzzy set theory and neural network , 2015, J. Comput. Sci..

[65]  Samuel H. Huang,et al.  Comprehensive and configurable metrics for supplier selection , 2007 .

[66]  L. D. Boer,et al.  A review of methods supporting supplier selection , 2001 .

[67]  Jafar Rezaei,et al.  Production , Manufacturing and Logistics Multi-criteria supplier segmentation using a fuzzy preference relations based AHP , 2012 .

[68]  E. Wilson,et al.  The Relative Importance of Supplier Selection Criteria: A Review and Update , 1994 .

[69]  Jussi Hätönen,et al.  Revising marketing strategies for supplier selection criteria: small firm approach from the information and communications industry , 2010 .

[70]  Reza Farzipoor Saen,et al.  Restricting weights in supplier selection decisions in the presence of dual-role factors , 2010 .

[71]  V. M. Rao Tummala,et al.  An application of the AHP in vendor selection of a telecommunications system , 2001 .

[72]  Jinwoo Park,et al.  An integrative framework for supplier relationship management , 2010, Ind. Manag. Data Syst..

[73]  Wen-Pai Wang,et al.  A fuzzy linguistic computing approach to supplier evaluation , 2010 .

[74]  V. Ravi,et al.  Supplier selection in resilient supply chains: a grey relational analysis approach , 2015 .

[75]  T. Johnsen,et al.  Sustainable purchasing and supply management: a structured literature review of definitions and measures at the dyad, chain and network levels , 2012 .

[76]  James Nga-Kwok Liu,et al.  Application of decision-making techniques in supplier selection: A systematic review of literature , 2013, Expert Syst. Appl..

[77]  Mohammad Jafar Tarokh,et al.  A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting , 2011, Expert Syst. Appl..