Evaluation and selection of suppliers considering green perspectives

Purpose – The purpose of this paper is to adapt integrated hierarchical evaluation platform (associated with “green” performance indices) toward evaluation and selection of alternative suppliers under green supply chain (GSC) philosophy. Design/methodology/approach – In this context, incompleteness, vagueness, imprecision, as well as inconsistency associated with subjective evaluation information aligned with ill-defined suppliers’ assessment indices has been tackled through logical exploration of fuzzy set theory. A fuzzy-based multi-level multi-criteria decision-making (FMLMCDM) approach as proposed by Chu and Varma (2012), has been case empirically studied in the context of green suppliers selection. Findings – Result obtained thereof, has been compared to that of fuzzy-TOPSIS to validate application potential of the aforementioned FMLMCDM approach. Originality/value – The proposed method has been found fruitful from managerial implication viewpoint.

[1]  Milind Kumar Sharma,et al.  An application of hybrid data envelopment analytical hierarchy process approach for supplier selection , 2015, J. Enterp. Inf. Manag..

[2]  Amitava Ray,et al.  Resilient supplier selection under a fuzzy environment , 2014 .

[3]  Felix T. S. Chan,et al.  Using case-based reasoning to evaluate supplier environmental management performance , 2003, Expert Syst. Appl..

[4]  Etienne E. Kerre,et al.  Defuzzification: criteria and classification , 1999, Fuzzy Sets Syst..

[5]  Kannan Govindan,et al.  Multi criteria decision making approaches for green supplier evaluation and selection: a literature review , 2015 .

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

[7]  Gwo-Hshiung Tzeng,et al.  Evaluating IT/IS investments: A fuzzy multi-criteria decision model approach , 2006, Eur. J. Oper. Res..

[8]  Christer Carlsson,et al.  Fuzzy multiple criteria decision making: Recent developments , 1996, Fuzzy Sets Syst..

[9]  Hsing-Pei Kao,et al.  An integrated fuzzy TOPSIS and MCGP approach to supplier selection in supply chain management , 2011, Expert Syst. Appl..

[10]  Chang-Lin Yang,et al.  Improving supplier performance using a comprehensive scheme , 2010 .

[11]  Joseph Sarkis,et al.  Green supplier development: analytical evaluation using rough set theory , 2010 .

[12]  Etienne E. Kerre,et al.  Reasonable properties for the ordering of fuzzy quantities (II) , 2001, Fuzzy Sets Syst..

[13]  Qi Liu,et al.  Ranking fuzzy numbers with an area method using radius of gyration , 2006, Comput. Math. Appl..

[14]  Anjali Awasthi,et al.  A fuzzy multicriteria approach for evaluating environmental performance of suppliers , 2010 .

[15]  Lin Lv,et al.  Green partner selection in virtual enterprise based on Pareto genetic algorithms , 2012, The International Journal of Advanced Manufacturing Technology.

[16]  G. Bortolan,et al.  A review of some methods for ranking fuzzy subsets , 1985 .

[17]  Ta-Chung Chu,et al.  Evaluating suppliers via a multiple levels multiple criteria decision making method under fuzzy environment , 2012, Comput. Ind. Eng..

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

[19]  Reza Tavakkoli-Moghaddam,et al.  Employing Fuzzy ANP for Green Supplier Selection and Order Allocations: A Case Study , 2013 .

[20]  Ali H. Diabat,et al.  Integrated fuzzy multi criteria decision making method and multi-objective programming approach for supplier selection and order allocation in a green supply chain , 2013 .

[21]  Thomas Y. Choi,et al.  An exploration of supplier selection practices across the supply chain , 1996 .

[22]  He-Yau Kang,et al.  A green supplier selection model for high-tech industry , 2009, Expert Syst. Appl..

[23]  John R. Current,et al.  Non-cooperative negotiation strategies for vendor selection , 1998, Eur. J. Oper. Res..

[24]  G. Noci,et al.  Designing "green" vendor rating systems for the assessment of suppliers environmental performance , 1997 .

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

[26]  Shad Dowlatshahi,et al.  DESIGNER-BUYER-SUPPLIER INTERFACE: THEORY VERSUS PRACTICE , 2000 .

[27]  Hsuan-Shih Lee,et al.  The revised method of ranking fuzzy numbers with an area between the centroid and original points , 2008, Comput. Math. Appl..

[28]  B. Asady,et al.  The revised method of ranking LR fuzzy number based on deviation degree , 2010, Expert Syst. Appl..

[29]  Joseph Sarkis,et al.  Integrating sustainability into supplier selection with grey system and rough set methodologies , 2010 .

[30]  Shuo-Yan Chou,et al.  A decision support system for supplier selection based on a strategy-aligned fuzzy SMART approach , 2008, Expert Syst. Appl..

[31]  Ali H. Diabat,et al.  A fuzzy multi criteria approach for evaluating green supplier's performance in green supply chain with linguistic preferences , 2013 .

[32]  Vivek K. Sunnapwar,et al.  Development and Validation of Performance Measures for Green Supplier Selection in Indian Industries , 2013 .

[33]  Rita Almeida Ribeiro.  Fuzzy multiple attribute decision making: A review and new preference elicitation techniques , 1996, Fuzzy Sets Syst..

[34]  Ta-Chung Chu,et al.  An extension to fuzzy MCDM , 2009, Comput. Math. Appl..

[35]  Ji-Feng Ding,et al.  An Integrated Fuzzy TOPSIS Method for Ranking Alternatives and Its Application , 2011 .

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

[37]  Cheng-Wen Lee,et al.  Green Suppliers with Environmental Performance in the Supply Chain Perspective , 2008 .

[38]  G. Bruno,et al.  Greener supplier selection: state of the art and some empirical evidence , 2013 .

[39]  M. K. Sharma,et al.  Performance measurement of supply chain management using the analytical hierarchy process , 2007 .

[40]  Saman K. Halgamuge,et al.  A trainable transparent universal approximator for defuzzification in Mamdani-type neuro-fuzzy controllers , 1998, IEEE Trans. Fuzzy Syst..

[41]  Basim Al-Najjar,et al.  Selecting the most efficient maintenance approach using fuzzy multiple criteria decision making , 2003 .

[42]  Yun Chin Chen,et al.  Evaluating the Green Suppliers of the Printed Circuit Board Factories Base on the Fuzzy Analytic Hierarchy Process and Vlsekriterijumska Optimizacija I Kompromisno Resenje , 2011 .

[43]  Wei-Chang Yeh,et al.  Using multi-objective genetic algorithm for partner selection in green supply chain problems , 2011, Expert Syst. Appl..

[44]  Hsu-Shih Shih,et al.  A hybrid MCDM model for strategic vendor selection , 2006, Math. Comput. Model..

[45]  Alain Yee-Loong Chong,et al.  A structural analysis of greening the supplier, environmental performance and competitive advantage , 2015 .

[46]  Giannis T. Tsoulfas,et al.  A model for supply chains environmental performance analysis and decision making , 2008 .

[47]  Saeid Abbasbandy,et al.  Ranking of fuzzy numbers by sign distance , 2006, Inf. Sci..

[48]  Chien-Chang Chou,et al.  A fuzzy MCDM method for solving marine transshipment container port selection problems , 2007, Appl. Math. Comput..

[49]  Siba Sankar Mahapatra,et al.  Agility appraisal for integrated supply chain using generalized trapezoidal fuzzy numbers set , 2013 .

[50]  Atakan Yücel,et al.  A weighted additive fuzzy programming approach for multi-criteria supplier selection , 2011, Expert Syst. Appl..

[51]  A. Hu,et al.  Using DEMATEL to develop a carbon management model of supplier selection in green supply chain management , 2013 .

[52]  Eleonora Bottani,et al.  An adapted multi-criteria approach to suppliers and products selection—An application oriented to lead-time reduction , 2008 .

[53]  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..

[54]  R. J. Kuo,et al.  Integration of artificial neural network and MADA methods for green supplier selection , 2010 .

[55]  Gopal Agarwal,et al.  Green Supplier Assessment in Environmentally Responsive Supply Chains through Analytical Network Process , 2012 .

[56]  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..

[57]  Gülşen Akman,et al.  Evaluating Green Performance of Suppliers via Analytic Network Process and TOPSIS , 2013 .

[58]  Qinghua Zhu,et al.  Evaluating green supplier development programs with a grey-analytical network process-based methodology , 2014, Eur. J. Oper. Res..

[59]  S. H. Ghodsypour,et al.  Fuzzy multiobjective linear model for supplier selection in a supply chain , 2006 .

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

[61]  Gülçin Büyüközkan,et al.  A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers , 2012, Expert Syst. Appl..

[62]  Selin Soner Kara,et al.  Long term supplier selection using a combined fuzzy MCDM approach: A case study for a telecommunication company , 2009, Expert Syst. Appl..

[63]  Xinwang Liu,et al.  Ranking fuzzy numbers with preference weighting function expectations , 2005 .

[64]  W. Pedrycz,et al.  A fuzzy extension of Saaty's priority theory , 1983 .

[65]  Doraid M. Dalalah,et al.  A fuzzy multi-criteria decision making model for supplier selection , 2011, Expert Syst. Appl..

[66]  R. Tong.  SYNTHESIS OF FUZZY MODELS FOR INDUSTRIAL PROCESSES-SOME RECENT RESULTS , 1978 .

[67]  Lotfi A. Zadeh,et al.  The Concepts of a Linguistic Variable and its Application to Approximate Reasoning , 1975 .