A TODIM-Based Decision Support Framework for G-Resilient Supplier Selection in Fuzzy Environment

A novel decision support framework has been proposed herein to solve supplier selection problems by considering green as well as resiliency criteria, simultaneously. In this work subjectivity of evaluation criteria has been tackled by exploring fuzzy set theory. A dominance based approach has been conceptualized which is basically a simplified version of TODIM. Application potential of the proposed dominance based fuzzy decision making approach has been compared to that of fuzzy-TOPSIS, fuzzy-VIKOR and also fuzzy-TODIM. The concept of a unique performance index, i.e. “g-resilient” index has been introduced here to help in assessing suppliers’ performance and thereby selecting the best candidate. The work has also been extended to identify the areas in which suppliers are lagging; these seek further improvement towards g-resilient suppliers’ performance to be boosted up to the desired level.

[1]  Felix T.S. Chan,et al.  Integrating environmental criteria into the supplier selection process , 2003 .

[2]  Narges Banaeian,et al.  Criteria definition and approaches in green supplier selection – a case study for raw material and packaging of food industry , 2015 .

[3]  Ching-Torng Lin,et al.  Agility evaluation using fuzzy logic , 2006 .

[4]  Fred Sollish,et al.  Supplier Selection Criteria , 2012 .

[5]  O. Tang,et al.  Identifying risk issues and research advancements in supply chain risk management , 2011 .

[6]  Luís Alberto Duncan Rangel,et al.  An application of the TODIM method to the multicriteria rental evaluation of residential properties , 2009, Eur. J. Oper. Res..

[7]  Chen-Tung Chen,et al.  A fuzzy approach for supplier evaluation and selection in supply chain management , 2006 .

[8]  K. Lai,et al.  Confirmation of a measurement model for green supply chain management practices implementation , 2008 .

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

[10]  Laurens G. Debo,et al.  Strategic dynamic sourcing from competing suppliers with transferable capacity investment , 2009 .

[11]  S. Chopra,et al.  Managing Risk To Avoid Supply-Chain Breakdown , 2004 .

[12]  Purba Rao,et al.  Greening of Suppliers/In-bound Logistics — In the South East Asian Context , 2006 .

[13]  Anjali Awasthi,et al.  A hybrid approach based on SERVQUAL and fuzzy TOPSIS for evaluating transportation service quality , 2011, Comput. Ind. Eng..

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

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

[16]  Mehrdad Hadipour,et al.  Application of VIKOR and fuzzy AHP for conservation priority assessment in coastal areas: Case of Khuzestan district, Iran , 2014 .

[17]  M. Christopher,et al.  Supply chain risk management: outlining an agenda for future research , 2003 .

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

[19]  M. Christopher,et al.  Building the Resilient Supply Chain , 2004 .

[20]  Gülay Barbarosoğlu,et al.  An Application of the Analytic Hierarchy Process to the Supplier Selection Problem , 1997 .

[21]  Javad Sadeghi,et al.  Evaluating a green supplier selection problem using a hybrid MODM algorithm , 2017, J. Intell. Manuf..

[22]  A. Tversky,et al.  Prospect theory: analysis of decision under risk , 1979 .

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

[24]  Zhang Hua,et al.  Process Planning Support System for Green Manufacturing and its application , 2007 .

[25]  M. Tseng,et al.  Evaluating firm's green supply chain management in linguistic preferences , 2013 .

[26]  Gülçin Büyüközkan,et al.  A Fuzzy MCDM Approach to Evaluate Green Suppliers , 2011 .

[27]  Steven A. Melnyk,et al.  Applying environmental criteria to supplier assessment: A study in the application of the Analytical Hierarchy Process , 2002, Eur. J. Oper. Res..

[28]  Chen-Tung Chen,et al.  Extensions of the TOPSIS for group decision-making under fuzzy environment , 2000, Fuzzy Sets Syst..

[29]  R. Handfield,et al.  Integrating Environmental Management and Supply Chain Strategies , 2005 .

[30]  Yi Peng,et al.  A Fuzzy PROMETHEE Approach for Mining Customer Reviews in Chinese , 2014, Arabian Journal for Science and Engineering.

[31]  Shyi-Ming Chen,et al.  Fuzzy risk analysis based on the ranking of generalized trapezoidal fuzzy numbers , 2007, Applied Intelligence.

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

[33]  Yacov Y Haimes,et al.  On the Definition of Vulnerabilities in Measuring Risks to Infrastructures , 2006, Risk analysis : an official publication of the Society for Risk Analysis.

[34]  Rajesh Gupta,et al.  Selection of logistic service provider using fuzzy PROMETHEE for a cement industry , 2012 .

[35]  Mark Goh,et al.  Fuzzy PROMETHEE GDSS for technical requirements ranking in HOQ , 2015 .

[36]  Michel Bruneau,et al.  Conceptualizing and measuring resilience: A key to disaster loss reduction , 2007 .

[37]  Golam Kabir,et al.  Integrating fuzzy analytic hierarchy process with PROMETHEE method for total quality management consultant selection , 2014 .

[38]  Renato A. Krohling,et al.  Combining prospect theory and fuzzy numbers to multi-criteria decision making , 2012, Expert Syst. Appl..

[39]  Feryal Erhun,et al.  Dual-supply inventory problem with capacity limits on order sizes and unrestricted ordering costs , 2009 .

[40]  M. Helms,et al.  Performance measurement for green supply chain management , 2005 .

[41]  Ahmad Makui,et al.  Extension of fuzzy TOPSIS method based on interval-valued fuzzy sets , 2009, Appl. Soft Comput..

[42]  Christopher S. Tang Robust strategies for mitigating supply chain disruptions , 2006 .

[43]  Rajeev Jain,et al.  A Fuzzy AHP and PROMETHEE method-based heuristic for disassembly line balancing problems , 2014 .

[44]  J. Fiksel Sustainability and Resilience: Toward a Systems Approach , 2006, IEEE Engineering Management Review.

[45]  Birol Elevli,et al.  Logistics freight center locations decision by using Fuzzy-PROMETHEE , 2014 .

[46]  Hui-Ming Wee,et al.  A resilient global supplier selection strategy—a case study of an automotive company , 2016 .

[47]  Shyi-Ming Chen,et al.  A Knowledge-based Method for Fuzzy Query Processing for Document Retrieval , 1997, Cybern. Syst..

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

[49]  Walid Abdul-Kader,et al.  Green supplier selection generic framework: a multi-attribute utility theory approach , 2011 .

[50]  Samir K. Srivastava,et al.  Green Supply-Chain Management: A State-of-the-Art Literature Review , 2007 .

[51]  M. N. Mokhtarian,et al.  A note on "Extension of fuzzy TOPSIS method based on interval-valued fuzzy sets" , 2015, Appl. Soft Comput..

[52]  Qinghua Zhu,et al.  A portfolio‐based analysis for green supplier management using the analytical network process , 2010 .

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

[54]  Ting-Yu Chen,et al.  A PROMETHEE-based outranking method for multiple criteria decision analysis with interval type-2 fuzzy sets , 2013, Soft Computing.

[55]  Muhamad Zameri Mat Saman,et al.  Sustainable Supplier Selection based on Self-organizing Map Neural Network and Multi Criteria Decision Making Approaches☆ , 2012 .

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

[57]  Ching-Torng Lin,et al.  Agility index in the supply chain , 2006 .

[58]  Gülfem Tuzkaya,et al.  A two-phase possibilistic linear programming methodology for multi-objective supplier evaluation and order allocation problems , 2008, Inf. Sci..

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

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

[61]  J. Freeman,et al.  Green supplier selection using an AHP-Entropy-TOPSIS framework , 2015 .

[62]  Thoo Ai Chin,et al.  Green supply chain management, environmental collaboration and sustainability performance , 2015 .

[63]  P. Rao,et al.  Do green supply chains lead to competitiveness and economic performance , 2005 .

[64]  Manjuri Hazarika,et al.  A GREEN PROCESS PLANNING SYSTEM , 2014 .

[65]  Jindong Qin,et al.  An analytical solution to fuzzy TOPSIS and its application in personnel selection for knowledge-intensive enterprise , 2015, Appl. Soft Comput..

[66]  A. Kaufmann,et al.  Introduction to fuzzy arithmetic : theory and applications , 1986 .

[67]  Gökhan Akyüz,et al.  A Fuzzy TODIM Approach for the Supplier Selection Problem , 2015, Int. J. Comput. Intell. Syst..

[68]  Amitava Ray,et al.  A hybrid MCDM model for resilient supplier selection , 2012 .

[69]  Hu-Chen Liu,et al.  A novel approach for failure mode and effects analysis using combination weighting and fuzzy VIKOR method , 2015, Appl. Soft Comput..

[70]  Siba Sankar Mahapatra,et al.  Green supplier evaluation and selection using VIKOR method embedded in fuzzy expert system with interval-valued fuzzy numbers , 2012 .

[71]  Sun Wei,et al.  A decision support tool for sustainable supplier selection in manufacturing firms , 2014 .

[72]  A. Tversky,et al.  Prospect Theory : An Analysis of Decision under Risk Author ( s ) : , 2007 .

[73]  Francisco Rodrigues Lima Junior,et al.  A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection , 2014, Appl. Soft Comput..

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

[75]  Narges Banaeian,et al.  Green Supplier Selection Criteria: From a Literature Review to a Flexible Framework for Determination of Suitable Criteria , 2014 .