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Abstract
Digitisation and automation are driving a paradigm shift towards autonomous supply chains, where intelligent systems orchestrate end-to-end processes with minimal human intervention. This paper explores the concept of the autonomous supply chain, its potential benefits and the challenges associated with its realisation. By examining the roles of cognitive planning, strategic sourcing, procurement, manufacturing, warehousing and logistics, the paper envisions a future where machines manage machines, leveraging artificial intelligence (AI), machine learning (ML) and advanced analytics. This transition, however, raises critical considerations around governance, performance measurement, human capital and environmental sustainability. Through industry examples, the paper focuses on the partnerships, standards and technological infrastructure required to navigate the path towards autonomous supply chain operations. Ultimately, the paper contributes to the discourse on the transformative potential and responsible development of self-driving supply chains.
The full article is available to subscribers to the journal.
Author's Biography
Deborah Dull is the founder of the global Circular Supply Chain Network and a multi-book author specialising in circular supply chains. She runs a non-profit and develops technology for circular supply chains. With a background spanning roles at Zero100, GE Digital, the Bill & Melinda Gates Foundation, Genpact and Microsoft, Deborah is an expert in launch management, inventory management and innovation. A sought-after speaker and author, she has been published widely and presented at numerous industry events. Deborah holds degrees in supply chain and operations management from Western Washington University (BA) and the University of Liverpool (MSc), and is pursuing her DBA at Heriot-Watt University.
Citation
Dull, Deborah (2025, February 26). Envisioning the autonomous supply chain: Implications, challenges and pathways. In the Journal of Supply Chain Management, Logistics and Procurement, Volume 7, Issue 3. https://doi.org/10.69554/CUAN8458.Publications LLP