A hierarchical fuzzy TOPSIS approach to assess improvement areas when implementing green supply chain initiatives

Implementing green supply chain management (GSCM) initiatives can generate more business opportunities for firms. It also requires changes in firms’ operational capabilities and resources that may have an adverse effect on firms’ operations performance. In order to achieve sustainable economic and environmental performance, it is essential for companies to evaluate different green initiatives and assess improvement areas when implementing green initiatives. This study proposes a fuzzy hierarchical TOPSIS approach to support such an assessment. It enables decision makers to better understand the complete evaluation process and provide a more accurate, effective and systematic decision support tool. An illustrative case is presented to help researchers and practitioners understand the importance of developing an appropriate organisation strategy in implementing green practices.

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

[2]  Sanjay Sharma,et al.  Selection of a pull production control policy under different demand situations for a manufacturing system by AHP-algorithm , 2009, Comput. Oper. Res..

[3]  Louis Y.Y. Lu,et al.  Environmental principles applicable to green supplier evaluation by using multi-objective decision analysis , 2007 .

[4]  Diyar Akay,et al.  A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method , 2009, Expert Syst. Appl..

[5]  Lei Zhang,et al.  Selection of green product design scheme based on multi-attribute decision-making method , 2010 .

[6]  Roberto Sarmiento,et al.  Identifying improvement areas when implementing green initiatives using a multitier AHP approach , 2010 .

[7]  Fabio De Felice Research and applications of AHP/ANP and MCDA for decision making in manufacturing , 2012 .

[8]  Xiaojun Wang,et al.  A two-stage Fuzzy-AHP model for risk assessment of implementing green initiatives in the fashion supply chain , 2012 .

[9]  Hokey Min,et al.  Green purchasing practices of US firms , 2001 .

[10]  Dimitris Askounis,et al.  A new TOPSIS-based multi-criteria approach to personnel selection , 2010, Expert Syst. Appl..

[11]  Ching-Lai Hwang,et al.  Multiple Attribute Decision Making: Methods and Applications - A State-of-the-Art Survey , 1981, Lecture Notes in Economics and Mathematical Systems.

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

[13]  Younghwa Lee,et al.  Investigating the effect of website quality on e-business success: An analytic hierarchy process (AHP) approach , 2006, Decis. Support Syst..

[14]  Yee-Ming Chen,et al.  Bi‐negotiation integrated AHP in suppliers selection , 2013 .

[15]  A. Rizzi,et al.  A fuzzy TOPSIS methodology to support outsourcing of logistics services , 2006 .

[16]  T. L. Saaty,et al.  Decision making with dependence and feedback , 2001 .

[17]  Drakoulis Martakos,et al.  Customer evaluation for order acceptance using a novel class of fuzzy methods based on TOPSIS , 2009, Expert Syst. Appl..

[18]  K. Peattie Golden goose or wild goose? The hunt for the green consumer , 2001 .

[19]  Emad Roghanian,et al.  Comparison of first aggregation and last aggregation in fuzzy group TOPSIS , 2010 .

[20]  Qinghua Zhu,et al.  Initiatives and outcomes of green supply chain management implementation by Chinese manufacturers. , 2007, Journal of environmental management.

[21]  Chin-Shan Lu,et al.  A taxonomy of green supply chain management capability among electronics-related manufacturing firms in Taiwan. , 2010, Journal of environmental management.

[22]  Chin-Tsai Lin,et al.  An application of AHP and sensitivity analysis for selecting the best slicing machine , 2007, Comput. Ind. Eng..

[23]  M. Bruce,et al.  Lean or agile: A solution for supply chain management in the textiles and clothing industry? , 2004 .

[24]  Hing Kai Chan,et al.  An AHP model for selection of suppliers in the fast changing fashion market , 2010 .

[25]  S. Khoury,et al.  Greening the Supply Chain , 2006 .

[26]  Joseph Sarkis A STRATEGIC DECISION FRAMEWORK FOR GREEN SUPPLY CHAIN MANAGEMENT , 2003 .

[27]  Thu-Hua Liu,et al.  Integrating AHP and DELPHI Methods to Construct A Green Product Assessment Hierarchy for Early Stages of Product Design and Development , 2010 .

[28]  Hing Kai Chan,et al.  An AHP approach in benchmarking logistics performance of the postal industry , 2006 .

[29]  Joseph Sarkis,et al.  RELATIONSHIPS BETWEEN OPERATIONAL PRACTICES AND PERFORMANCE AMONG EARLY ADOPTERS OF GREEN SUPPLY CHAIN MANAGEMENT PRACTICES IN CHINESE MANUFACTURING ENTERPRISES , 2004 .

[30]  M. Yurdakul *,et al.  Development of a performance measurement model for manufacturing companies using the AHP and TOPSIS approaches , 2005 .

[31]  Deng Yong Plant location selection based on fuzzy TOPSIS , 2006 .

[32]  H. Walker,et al.  Drivers and barriers to environmental supply chain management practices: lessons from the public and private sectors , 2008 .

[33]  Stephan Vachon,et al.  Green supply chain practices and the selection of environmental technologies , 2007 .

[34]  Tesheng Li RETRACTED ARTICLE: Applying TRIZ and AHP to develop innovative design for automated assembly systems , 2010 .

[35]  Mithat Zeydan,et al.  A new decision support system for performance measurement using combined fuzzy TOPSIS/DEA approach , 2009 .

[36]  Davy Janssens,et al.  Improved hierarchical fuzzy TOPSIS for road safety performance evaluation , 2012, Knowl. Based Syst..

[37]  S. Khoury,et al.  Greening the Supply Chain , 2006 .

[38]  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..

[39]  R. Ramanathan Supplier selection problem: integrating DEA with the approaches of total cost of ownership and AHP , 2007 .

[40]  Jukka Korpela,et al.  Warehouse operator selection by combining AHP and DEA methodologies , 2007 .

[41]  Abby Ghobadian,et al.  An empirical study of green supply chain management practices amongst UK manufacturers , 2009 .

[42]  İrfan Ertuğrul,et al.  Comparison of fuzzy AHP and fuzzy TOPSIS methods for facility location selection , 2008 .

[43]  Dimitris Askounis,et al.  Support managers' selection using an extension of fuzzy TOPSIS , 2011, Expert Syst. Appl..

[44]  M. Bohanec,et al.  The Analytic Hierarchy Process , 2004 .

[45]  F. Chan,et al.  Global supplier development considering risk factors using fuzzy extended AHP-based approach , 2007 .

[46]  Susana Garrido Azevedo,et al.  The influence of green practices on supply chain performance: A case study approach , 2011 .

[47]  Weijian Mi,et al.  An integration of bidding-oriented product conceptualization and supply chain formation , 2008, Comput. Ind..

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

[49]  Gülçin Büyüközkan,et al.  A two phase multi-attribute decision-making approach for new product introduction , 2007, Inf. Sci..

[50]  Renato A. Krohling,et al.  Fuzzy TOPSIS for group decision making: A case study for accidents with oil spill in the sea , 2011, Expert Syst. Appl..

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

[52]  K. Lai,et al.  Green supply chain management implications for "closing the loop" , 2008 .

[53]  Chialin Chen,et al.  Design for the Environment: A Quality-Based Model for Green Product Development , 2001, Manag. Sci..

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

[55]  Metin Dagdeviren,et al.  Decision making in equipment selection: an integrated approach with AHP and PROMETHEE , 2008, J. Intell. Manuf..