Leveraging Artificial Intelligence to Advance Sustainability and Resource Management in Supply Chains

Chaymae BOUDRAA; Driss HELMI

doi:10.23882/ijdam.26257

Autores/as

Chaymae BOUDRAA Mohammed First University, Oujda, Morocco
Driss HELMI Mohammed First University, Oujda, Morocco https://orcid.org/0009-0004-5642-1944

DOI:

https://doi.org/10.23882/ijdam.26257

Palabras clave:

Artificial intelligence, Sustainability, supply chain, circular economy, sustainable suppy chain management, Resource optimization

Resumen

This research investigation examines ways artificial intelligence (AI) could enhance supply chain sustainability with a focus on resource efficiency and values of the circular economy. For the purpose of exploring AI applications in waste mitigation, logistics optimization, and handling product lifecycle, the study employs a systematic literature review of scientific documents from the Scopus database. AI's contribution to decision-making processes, such as resource preservation systems, and closed-loop manufacturing processes, is emphasized. The paper presents an accurate assessment of AI's benefits and drawbacks in sustainable supply chains by tackling issues including data quality, ethical concerns, and potential rebound outcomes. The results reveal that AI can serve as a catalyst towards encouraging environmentally conscious industrial practices, supporting evidence-based business strategies and shaping laws and regulations to promote the shift. By highlighting AI's ability to effectively use resources while supporting responsible production and consumption, the current research further contributes to the current topic over AI's value as an important enabler of sustainability instead of solely a technological solution.

Keywords: Artificial Intelligence, Sustainability, Supply Chains, Circular Economy, Resource Optimization, sustainable supply chain management

Biografía del autor/a

Driss HELMI, Mohammed First University, Oujda, Morocco

Citas

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