Sustainable Supply Chain Project Management: Strategies for Reducing Carbon Footprints

Sustainable supply chain management (SSCM) has emerged as a pivotal approach for addressing environmental challenges while ensuring economic efficiency. This study explores strategies for integrating sustainability goals into supply chain operations to reduce carbon footprints. By leveraging advanced technologies such as blockchain, artificial intelligence (AI), and data analytics, this research proposes a comprehensive SSCM framework that enhances transparency, resource optimization, and predictive maintenance. The study includes an in-depth literature review, empirical validation through case studies in manufacturing and retail industries, and an analysis of results that demonstrate significant reductions in carbon emissions and waste production. Practical recommendations for supply chain managers, policymakers, and industry stakeholders are provided to foster the adoption of sustainable practices. This research contributes to the theoretical understanding of SSCM while offering actionable strategies for real-world implementation.

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Publication Details

Journal
Journal of Business and Management Studies
Published
2025-03-24
DOI
https://doi.org/10.32996/jbms.2025.7.2.7
Citations
1
Primary Topic
Sustainable Supply Chain Management
Type
article
Field-Weighted Citation Impact
2.23
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article

Sustainable Supply Chain Project Management: Strategies for Reducing Carbon Footprints

Md Imtiaz Faruk, Muhammad Iqbal Hossain, Fatin Wahab Plabon, Jeba Sadia Jyoti
1 citations
Journal of Business and Management Studies
Sustainable Supply Chain Management
2.23
article

Sustainable Supply Chain Project Management: Strategies for Reducing Carbon Footprints

Md Imtiaz Faruk, Muhammad Iqbal Hossain, Fatin Wahab Plabon, Jeba Sadia Jyoti
article en
1 citations

Abstract

Sustainable supply chain management (SSCM) has emerged as a pivotal approach for addressing environmental challenges while ensuring economic efficiency. This study explores strategies for integrating sustainability goals into supply chain operations to reduce carbon footprints. By leveraging advanced technologies such as blockchain, artificial intelligence (AI), and data analytics, this research proposes a comprehensive SSCM framework that enhances transparency, resource optimization, and predictive maintenance. The study includes an in-depth literature review, empirical validation through case studies in manufacturing and retail industries, and an analysis of results that demonstrate significant reductions in carbon emissions and waste production. Practical recommendations for supply chain managers, policymakers, and industry stakeholders are provided to foster the adoption of sustainable practices. This research contributes to the theoretical understanding of SSCM while offering actionable strategies for real-world implementation.

Journal of Business and Management StudiesVol. 7(2)
St. Francis College (US)
Openalex Percentile: Top 13%
Sustainable Supply Chain Management
2.23
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