An integrated fuzzy-AHP and fuzzy-DEMATEL approach for analyzing sustainable supply chain factors in the mining industry

Rapid industrialization necessitates the utmost balance among economic, environmental, and social performance of manufacturing industries for long-term sustainability. The equity among the performance criteria can be maintained through the adoption of sustainability in the industries’ supply chain. As mining industry is viewed as one of the most polluting industries, it becomes apparent to rectify mining activities through the integration of sustainability into its supply chain. However, the sustainability drive must not compromise long-term economic performance. To address this issue, a case-based study is attempted in the present work to identify and analyze the drivers and barriers responsible for implementing sustainability in the supply chain of Indian mining industries. An integrated approach of the fuzzy analytical hierarchy process (F-AHP) and fuzzy decision-making trial and evaluation laboratory (F-DEMATEL) has been proposed to determine the priority and interdependency between the sustainability implementation factors. Also, sensitivity analysis has been carried out to understand the factors significantly influencing system sustainability. The study reveals that “environmental certification and government regulation” and “lack of regulations on sustainability”’ are the most crucial driver and barrier, respectively, to adopt sustainability in the Indian mining industry. The findings help policy planners provide a framework for promoting sustainable practices. Also, the study provides a robust methodology that can be applied to similar industries interested in enhancing sustainability adoption.

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Publication Details

Journal
Supply Chain Analytics
Published
2025-03-13
DOI
https://doi.org/10.1016/j.sca.2025.100113
Citations
16
Primary Topic
Multi-Criteria Decision Making
Type
article
Field-Weighted Citation Impact
33.71
Controls
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article

An integrated fuzzy-AHP and fuzzy-DEMATEL approach for analyzing sustainable supply chain factors in the mining industry

Siba Sankar Mahapatra, Arpan Paul
16 citations
Supply Chain Analytics
Multi-Criteria Decision Making
33.71
article

An integrated fuzzy-AHP and fuzzy-DEMATEL approach for analyzing sustainable supply chain factors in the mining industry

Siba Sankar Mahapatra, Arpan Paul
article en
16 citations

Abstract

Rapid industrialization necessitates the utmost balance among economic, environmental, and social performance of manufacturing industries for long-term sustainability. The equity among the performance criteria can be maintained through the adoption of sustainability in the industries’ supply chain. As mining industry is viewed as one of the most polluting industries, it becomes apparent to rectify mining activities through the integration of sustainability into its supply chain. However, the sustainability drive must not compromise long-term economic performance. To address this issue, a case-based study is attempted in the present work to identify and analyze the drivers and barriers responsible for implementing sustainability in the supply chain of Indian mining industries. An integrated approach of the fuzzy analytical hierarchy process (F-AHP) and fuzzy decision-making trial and evaluation laboratory (F-DEMATEL) has been proposed to determine the priority and interdependency between the sustainability implementation factors. Also, sensitivity analysis has been carried out to understand the factors significantly influencing system sustainability. The study reveals that “environmental certification and government regulation” and “lack of regulations on sustainability”’ are the most crucial driver and barrier, respectively, to adopt sustainability in the Indian mining industry. The findings help policy planners provide a framework for promoting sustainable practices. Also, the study provides a robust methodology that can be applied to similar industries interested in enhancing sustainability adoption.

Supply Chain AnalyticsVol. 10
National Institute of Technology Rourkela (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 0%
Multi-Criteria Decision Making
33.71
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