Enhancing the efficacy of supplier selection decision-making on the initial stage of new product development: A hybrid fuzzy approach considering the strategic and operational factors simultaneously

The majority of the existing supplier selection approaches obtained their optimal solutions based on the operational metrics. This study considers the strategic and operational factors simultaneously to secure the efficacy of supplier selection (VS) on initial stage of new product development (NPD). We suggest strategic factors come from the supplier's management system itself (i.e., customer-, long-term-, and process-oriented criteria) while the related performances indices of supplier constitute operational factors (i.e., producer-, short-term- and outcome-oriented criteria). The work adopts supplier's process capability indices (PCIs) and process yields as operational factors to estimate their quality capabilities. The business process-oriented criteria related with the performance of business process improvement (BPI) are employed as the strategic criteria for supplier assessment visit. A fuzzy approach with supply risk consideration is employed then to aggregate the total scores of individual suppliers objectively. An empirical case study is performed to demonstrate the efficacy of the proposed system and to identify the best potential supplier(s) for further development. The results and processes of the case study also provide interesting managerial implications. The derived application of Herzberg's two-factor theory to the realm of supplier selection is discussed as well.

[1]  Mohamed Zairi,et al.  Business process management: a boundaryless approach to modern competitiveness , 1997, Bus. Process. Manag. J..

[2]  Chen-Tung Chen,et al.  A fuzzy approach to select the location of the distribution center , 2001, Fuzzy Sets Syst..

[3]  Srinivas Talluri,et al.  Production , Manufacturing and Logistics Vendor evaluation with performance variability : A max – min approach , 2003 .

[4]  G. Tzeng,et al.  Evaluating sustainable fishing development strategies using fuzzy MCDM approach , 2005 .

[5]  Pei-Chann Chang,et al.  Fuzzy Delphi and back-propagation model for sales forecasting in PCB industry , 2006, Expert Syst. Appl..

[6]  Da Ruan,et al.  Fuzzy group decision-making for facility location selection , 2003, Inf. Sci..

[7]  Seyed Hassan Ghodsypour,et al.  A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming , 1998 .

[8]  G. A. Miller.  THE PSYCHOLOGICAL REVIEW THE MAGICAL NUMBER SEVEN, PLUS OR MINUS TWO: SOME LIMITS ON OUR CAPACITY FOR PROCESSING INFORMATION 1 , 1956 .

[9]  W. B. Lee,et al.  Design of a case based intelligent supplier relationship management system - the integration of supplier rating system and product coding system , 2003, Expert Syst. Appl..

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

[11]  Ronald R. Yager,et al.  Fuzzy set and possibility theory , 1984, IEEE Transactions on Systems, Man, and Cybernetics.

[12]  Jing-Shing Yao,et al.  Inventory without backorder with fuzzy total cost and fuzzy storing cost defuzzified by centroid and signed distance , 2003, Eur. J. Oper. Res..

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

[14]  Ying-Ming Wang,et al.  Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment , 2006, Expert Syst. Appl..

[15]  Reza Mohammady Garfamy.  Supplier Selection and Business Process Improvement: An Exploratory Multiple Case Study , 2010 .

[16]  N. L. Johnson,et al.  Distributional and Inferential Properties of Process Capability Indices , 1992 .

[17]  Ching-Lai Hwang,et al.  Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.

[18]  F. Herzberg.  Work and the nature of man , 1967 .

[19]  S. Talluri,et al.  A Model for Strategic Supplier Selection , 2002 .

[20]  Victor E. Kane,et al.  Process Capability Indices , 1986 .

[21]  Luiz Cesar Ribeiro Carpinetti,et al.  Quality management and improvement: A framework and a business-process reference model , 2003, Bus. Process. Manag. J..

[22]  Reza Mohammady Garfamy.  Supplier Selection and Business Process Improvement , 2006 .

[23]  Liang-Yuh Ouyang,et al.  Models for a fuzzy inventory of two replaceable merchandises without backorder based on the signed distance of fuzzy sets , 2003, Eur. J. Oper. Res..

[24]  F. Liu,et al.  The voting analytic hierarchy process method for selecting supplier , 2005 .

[25]  Gwo-Hshiung Tzeng,et al.  Fuzzy MCDM approach for planning and design tenders selection in public office buildings , 2004 .

[26]  N. Saccani,et al.  Integration techniques in customer-supplier relationships: An empirical research in the Italian industry of household appliances , 2004 .

[27]  Kuen-Suan Chen,et al.  One‐sided capability indices CPU and CPL: decision making with sample information , 2002 .

[28]  N. Anantharaman,et al.  A MULTI-CRITERIA GROUP DECISIONMAKING MODEL FOR SUPPLIER RATING , 2002 .

[29]  Chong Leng Tan,et al.  Empirical analysis of supplier selection and involvement, customer satisfaction, and firm performance , 2001 .

[30]  K. Platts,et al.  Supplier logistics performance measurement: Indications from a study in the automotive industry , 2004 .

[31]  R. N. Maddox,et al.  Two-factor Theory and Consumer Satisfaction: Replication and Extension , 1981 .

[32]  Michael C. Jensen,et al.  THE NATURE OF MAN , 1994 .

[33]  Sang-Chan Park,et al.  An effective supplier selection method for constructing a competitive supply-relationship , 2005, Expert Syst. Appl..

[34]  Lisa M. Ellram,et al.  Supplier Selection and Evaluation in Small versus Large Electronics Firms , 1995 .

[35]  P. Yetton,et al.  The relationships among group size, member ability, social decision schemes, and performance , 1983 .

[36]  Hepu Deng,et al.  Multicriteria analysis with fuzzy pairwise comparison , 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).

[37]  Hung-Chi Chang,et al.  An application of fuzzy sets theory to the EOQ model with imperfect quality items , 2004, Comput. Oper. Res..

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

[39]  Srinivas Talluri,et al.  A methodology for strategic sourcing , 2004, Eur. J. Oper. Res..

[40]  A. Cakravastia,et al.  Integrated model for supplier selection and negotiation in a make-to-order environment , 2004 .

[41]  D. Dubois,et al.  Operations on fuzzy numbers , 1978 .

[42]  Shuo-Yan Chou,et al.  Vendor selection in a modified re-buy situation using a strategy-aligned fuzzy approach , 2007 .

[43]  Caroline M. Eastman,et al.  Response: Introduction to fuzzy arithmetic: Theory and applications : Arnold Kaufmann and Madan M. Gupta, Van Nostrand Reinhold, New York, 1985 , 1987, Int. J. Approx. Reason..

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

[45]  Michael Tracey,et al.  Building Supply Chains: A Key To Enhancing Manufacturing Performance , 2000 .

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

[47]  J. A. Chen,et al.  A decision support system for order selection in electronic commerce based on fuzzy neural network supported by real-coded genetic algorithm , 2004, Expert Syst. Appl..

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

[49]  J. Current,et al.  An optimization approach to determining the number of vendors to employ , 2000 .

[50]  R. Handfield,et al.  Involving Suppliers in New Product Development , 1999 .

[51]  C. Posthoff,et al.  Search with fuzzy numbers , 1995, Proceedings of 1995 IEEE International Conference on Fuzzy Systems..