Ranking the barriers of sustainable textile and apparel supply chains

Rakesh Dulichand Raut · Bhaskar B. Gardas · Balkrishna Eknath Narkhede

64 citations0/0 files storedBenchmarking An International Journal

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Sustainable Supply Chain Management Multi-Criteria Decision Making Software Engineering and Design Patterns

Abstract

Purpose Textile and Apparel (T&A) sector significantly influences socio-economic and environmental dimensions of the sustainability. The purpose of this paper is proposed to establish the interrelationship among the critical barriers to the sustainable development of T&A supply chains by using a multi-criteria decision-making approach and to obtain a ranking of the barriers. Design/methodology/approach In the present investigation through literature review and from expert opinions, 14 significant challenges to the sustainable growth of T&A sector have identified. For establishing the interrelationship and for developing a structural model of the identified challenges, interpretive structural modelling (ISM) methodology is employed. Findings The results of the investigation revealed that lack of effective governmental policies (B8), poor infrastructure (B4), lack of effective level of integration (B6), low foreign investment (B13) and demonetization (B12) are the top most significant challenges. Research limitations/implications The model development based on the expert inputs from the industry and academia, these inputs could be biased influencing the accuracy of the model. Also, inclusion more factors for the analysis will improve the reliability of the model. Originality/value This research is intended to guide the policy and decision makers for improving overall the growth of the T&A supply chain.

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References

2010Issues in SME development in Ghana and South Africa 1994Vendor Selection Using Interpretive Structural Modelling (ISM)1995Delphi: A Versatile Methodology for Conducting Qualitative Research 2011An analysis of the drivers affecting the implementation of green supply chain management 2004Analysis of interactions among the barriers of reverse logistics 2012Interpreting the Interpretive Structural Model 2009A hybrid approach using ISM and fuzzy TOPSIS for the selection of reverse logistics provider 2008Knowledge management barriers: An interpretive structural modeling approach

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