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Open Access Journal Article

Supply Chain Analytics for Sustainable Operations

by Emily Brown 1,*
1
Emily Brown
*
Author to whom correspondence should be addressed.
MAD  2023 5(2):42; https://doi.org/10.69610/j.mad.20230830
Received: 15 June 2023 / Accepted: 19 July 2023 / Published Online: 30 August 2023
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Abstract

This paper explores the integration of supply chain analytics into sustainable operations, emphasizing the role of data-driven insights in optimizing processes and minimizing environmental impact. The study delves into the methodologies and tools employed in supply chain analytics, focusing on how these can be leveraged to enhance sustainable practices. By analyzing case studies and industry trends, the paper identifies key challenges and opportunities in applying analytics to sustainable supply chains. It highlights the importance of integrating environmental, social, and governance (ESG) factors into analytics models to achieve holistic sustainability. Furthermore, the paper discusses the potential of emerging technologies, such as artificial intelligence and blockchain, in transforming sustainable operations. The findings suggest that a comprehensive approach to supply chain analytics can lead to more efficient, eco-friendly, and socially responsible operations, ultimately contributing to the broader goals of sustainable development.

Keywords: Supply Chain Analytics; Sustainable Operations; Environmental Impact; Data-Driven Insights; ESG Integration.;
Copyright: © 2023 by Brown. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Cite This Paper
APA Style
Brown, E. (2023). Supply Chain Analytics for Sustainable Operations. Management Analytics and Decision, 5(2), 42. doi:10.69610/j.mad.20230830
ACS Style
Brown, E. Supply Chain Analytics for Sustainable Operations. Management Analytics and Decision, 2023, 5, 42. doi:10.69610/j.mad.20230830
AMA Style
Brown E. Supply Chain Analytics for Sustainable Operations. Management Analytics and Decision; 2023, 5(2):42. doi:10.69610/j.mad.20230830
Chicago/Turabian Style
Brown, Emily 2023. "Supply Chain Analytics for Sustainable Operations" Management Analytics and Decision 5, no.2:42. doi:10.69610/j.mad.20230830

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ACS Style
Brown, E. Supply Chain Analytics for Sustainable Operations. Management Analytics and Decision, 2023, 5, 42. doi:10.69610/j.mad.20230830
AMA Style
Brown E. Supply Chain Analytics for Sustainable Operations. Management Analytics and Decision; 2023, 5(2):42. doi:10.69610/j.mad.20230830
Chicago/Turabian Style
Brown, Emily 2023. "Supply Chain Analytics for Sustainable Operations" Management Analytics and Decision 5, no.2:42. doi:10.69610/j.mad.20230830
APA style
Brown, E. (2023). Supply Chain Analytics for Sustainable Operations. Management Analytics and Decision, 5(2), 42. doi:10.69610/j.mad.20230830

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References

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