Journal ArticleDOI
Risk analysis in green supply chain using fuzzy AHP approach: A case study
TLDR
In this article, a two-phase research approach has been proposed and used in this study, in the first phase, six categories of risks and twenty-five specific risks, associated with the GSC, were identified.Abstract:
Due to increase in customer environmental awareness, competitiveness and strict governmental policies, the approach of incorporating green supply chain management (GSCM), to conserve resources and sustainable production, is gradually becoming more imperative for organizations. However, the successful accomplishment of green supply chain (GSC) production and business activities is relatively difficult due to involvement of different risks. These risks and their respective sources have a tendency to disturb the GSC functioning, and thereby, decline in the ecological-economic performance. Therefore, identification of risks and their subsequent analysis in the GSC are very important to know and understand. The present research analyzes the risks relevant to adoption and effective implementation of GSC practices at industrial viewpoint. A two-phase research approach has been proposed and used in this study. In the first phase, six categories of risks and twenty-five specific risks, associated with the GSC, were identified. The basis of identification of the risks was literature and inputs received from experts from industries. Experts’ opinion has been collected from the officials and managers of four Indian poly product-manufacturing companies. In the second phase, the fuzzy analytic hierarchy process (fuzzy AHP), a qualitative and quantitative analysis was used to analyze the identified risks for determining of their priority of concern. The used fuzzy AHP approach is also useful in dealing with the human subjectivity and ambiguity involved in the process of risk analysis. In this research, an effort has been made to know the most important risk in GSC context, and the findings would be useful for industries in managing and reducing the consequences of the risks in GSC. The analysis of the results indicates that operational category risks are the most important risks in GSC. Sensitivity analysis is also conducted to examine the priority ranking stability.read more
Citations
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Journal ArticleDOI
Evaluating challenges to Industry 4.0 initiatives for supply chain sustainability in emerging economies
Sunil Luthra,Sachin Kumar Mangla +1 more
TL;DR: In this paper, the authors identify key challenges to Industry 4.0 initiatives and analyze the identified key challenges in order to prioritize them for effective Industry4.0 concepts for supply chain sustainability in emerging economies.
Journal ArticleDOI
Supplier selection among SMEs on the basis of their green innovation ability using BWM and fuzzy TOPSIS
TL;DR: The outcome of this research is helpful to rank the suppliers consequently organizations can replicate the proposed framework for supplier selection for their new product range.
Journal ArticleDOI
A review of fuzzy AHP methods for decision-making with subjective judgements
TL;DR: This paper reviews the literature published since 2008 where fuzzy AHP is applied to decision-making problems in industry, particularly the various selection problems.
Journal ArticleDOI
Barriers to effective circular supply chain management in a developing country context
Sachin Kumar Mangla,Sunil Luthra,Nishikant Mishra,Akshit Singh,Nripendra P. Rana,Manoj Dora,Yogesh K. Dwivedi +6 more
TL;DR: In this article, sixteen important barriers were identified to circular supply chain management adoption in Indian context and the listed barriers were then analysed using an integrated Interpretive Structural Modelling - MICMAC approach.
Journal ArticleDOI
Evaluation of sustainable supply chain risk management using an integrated fuzzy TOPSIS- CRITIC approach
Reza Rostamzadeh,Mehdi Keshavarz Ghorabaee,Kannan Govindan,Ahmad Esmaeili,Hossein Bodaghi Khajeh Nobar +4 more
TL;DR: An integrated fuzzy multi-Criteria decision-making (MCDM) approach is proposed based on the technique in order of preference by similarity to ideal solution (TOPSIS) and criteria importance through inter-criteria correlation (CRITIC) methods.
References
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From a literature review to a conceptual framework for sustainable supply chain management
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