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Evaluating sustainable supply chain indicators using fuzzy AHP

Evaluating sustainable supply chain indicators using fuzzy AHP PurposeSustainability in supply chain is gaining attention in recent years due to environmental concern, enforced legislation, green issues, social responsibility, etc. Sustainable supply chain (SSC) has revolved around the various dimensions including economy, environment and societal factors since its inception. The purpose of this paper is to identify, prioritize and evaluate the indicators of SSC so that organizations can cultivate strategies to implement them on priority.Design/methodology/approachThis paper proposes a methodology based on fuzzy analytic hierarchy process to prioritize the indicators of SSC. A numerical analysis of Indian automotive industry is presented to demonstrate the use of the proposed method. This proposed method considered fuzzy framework that can handle impreciseness and uncertainty. Sensitivity analysis is also performed to test the robustness of the proposed model.FindingsPotential indicators are identified from relevant literature and validated by industry experts. This research finalizes the SSC indicators under three dimensions so that prioritization of identified indicators can be developed and the insights relationship of factors would be explored. The results of the study found that environmental and social dimensions of sustainability contribute more toward the sustainability.Research limitations/implicationsThis study is limited to identify evaluation factors and other factors have not been identified and categorized. Evaluation is done by experts in this area so it is natural that views of decision makers may be subjective and vary with regard to industry type, priorities, resources, etc.Practical implicationsThis study will help industry to identify, evaluate and prioritize factors for successful implementation of sustainability in their supply chain. Automotive companies could device these factors by applying the outcome of the study in their operations with higher priority to integrate sustainability in their supply chain.Originality/valueThese factors are identified to implement sustain ability into supply chain practices for automotive industry. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Benchmarking: An International Journal Emerald Publishing

Evaluating sustainable supply chain indicators using fuzzy AHP

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References (114)

Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
1463-5771
DOI
10.1108/BIJ-11-2015-0111
Publisher site
See Article on Publisher Site

Abstract

PurposeSustainability in supply chain is gaining attention in recent years due to environmental concern, enforced legislation, green issues, social responsibility, etc. Sustainable supply chain (SSC) has revolved around the various dimensions including economy, environment and societal factors since its inception. The purpose of this paper is to identify, prioritize and evaluate the indicators of SSC so that organizations can cultivate strategies to implement them on priority.Design/methodology/approachThis paper proposes a methodology based on fuzzy analytic hierarchy process to prioritize the indicators of SSC. A numerical analysis of Indian automotive industry is presented to demonstrate the use of the proposed method. This proposed method considered fuzzy framework that can handle impreciseness and uncertainty. Sensitivity analysis is also performed to test the robustness of the proposed model.FindingsPotential indicators are identified from relevant literature and validated by industry experts. This research finalizes the SSC indicators under three dimensions so that prioritization of identified indicators can be developed and the insights relationship of factors would be explored. The results of the study found that environmental and social dimensions of sustainability contribute more toward the sustainability.Research limitations/implicationsThis study is limited to identify evaluation factors and other factors have not been identified and categorized. Evaluation is done by experts in this area so it is natural that views of decision makers may be subjective and vary with regard to industry type, priorities, resources, etc.Practical implicationsThis study will help industry to identify, evaluate and prioritize factors for successful implementation of sustainability in their supply chain. Automotive companies could device these factors by applying the outcome of the study in their operations with higher priority to integrate sustainability in their supply chain.Originality/valueThese factors are identified to implement sustain ability into supply chain practices for automotive industry.

Journal

Benchmarking: An International JournalEmerald Publishing

Published: Aug 7, 2017

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