The green supplier selection as a key element in a supply chain: a review of cases studies
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Structured methodology for supplier selection and evaluation in a supply chain
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Evaluation and selection of green suppliers using fuzzy vikor and fuzzy topsis
2019
Determinants of the green supplier selection
10.1016/j.sbspro.2015.04.874 · 2015
An interactive solution approach for multiple objective supplier selection problem with fuzzy parameters
10.1007/s10845-013-0782-6 · 2015
Emerging supplier selection criterion in the context of traditional vs green supply chain management
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Designing ‘green’ vendor rating systems for the assessment of a supplier's environmental performance
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Applying environmental criteria to supplier assessment: a study in the application of the analytical hierarchy process
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Environmental principles applicable to green supplier evaluation by using multi-objective decision analysis
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Comparative investigation on green supplier selection of the American, Japanese and Taiwanese electronics industry in China
2008
A green supplier selection model for high-tech industry
10.1016/j.eswa.2008.11.052 · 2009
Supplier performance evaluation for green supply chain management
2010
Using fuzzy multi-agent decision-making in environmentally conscious supplier management
10.1016/s0007-8506(07)60607-6 · 2003
Green project partnership in the supply chain: the case of the package printing industry
10.1016/j.jclepro.2005.07.014 · 2006
Employing dynamic fuzzy membership functions to assess environmental performance in the supplier selection process
10.1080/00207540500357476 · 2006
Extension method for green supplier selection
2008
Application of analytic network process on supplier selection to hazardous substance management in green supply chain management
2007
Applying hazardous substance management to supplier selection using analytic network process
10.1016/j.jclepro.2008.05.004 · 2009
A novel fuzzy multi-criteria decision framework for sustainable supplier selection with incomplete information
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Evaluation of the green supply chain management practices: a fuzzy ANP approach
2010
Using multi-objective genetic algorithm for partner selection in green supply chain problems
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Using case-based reasoning to evaluate supplier environmental management performance
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Integrating environmental criteria into the supplier selection process
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Research on green suppliers' evaluation based on AHP & genetic algorithm
2009
Integration of artificial neural network and Mada methods for green supplier selection
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Developing green supplier selection procedure: a Dea approach
2010
Implementation of green supply chain management in uncertainty
2010
Supplier selection using analytic network process and data envelopment analysis
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A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method
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Integration of AHP-TOPSIS method for prioritizing the solutions of reverse logistics adoption to overcome its barriers under fuzzy environment
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A robust hybrid multi-criteria decision making methodology for contractor evaluation and selection in third-party reverse logistics
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Novel fuzzy hybrid multi-criteria group decision making approaches for the strategic supplier selection problem
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Fuzzy axiomatic design approach based green supplier selection: a case study from Singapore
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Green supplier selection and order allocation in a low-carbon paper industry: integrated multi-criteria heterogeneous decision-making and multi-objective linear programming approaches
10.1007/s10479-015-2004-4 · 2016
Selecting green suppliers based on GSCM practices: using fuzzy TOPSIS applied to a Brazilian electronics company
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Green supplier selection and evaluation using DEA-type composite indicators
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The influence of greening the suppliers and green innovation on environmental performance and competitive advantage in Taiwan
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Influence of perceived value on purchasing decisions of green products in Brazil
10.1016/j.jclepro.2015.07.100 · 2016
Sustainability-oriented innovation of SMEs: a systematic review
10.1016/j.jclepro.2013.07.017 · 2014
Green product innovation: where we are and where we are going
10.1002/bse.1886 · 2016
