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How can supply chains react to a chaotic world? When traditional supply chain models fail, what’s left for us to try? Can we trust AI to help navigate the uncertainty?
Chris Tang, professor emeritus in supply chain management at UCLA, believes AI can make supply chains both lean and resilient. Mehmet Gumus, Professor of Operations Management at McGill University, asks him how.
Indeed, global disruptions have exposed weaknesses in traditional supply chain models. Lean networks are too vulnerable to disruptions. Redundant ones are more resilient, but can no longer keep up with the pace and scale of change. So where do we go from here?
They begin their conversation with an overview of the current challenges facing supply chains and the limits of lean and resilient models. Then they explore how AI might help navigate this uncertainty. And finally, they discuss the role of human decision-makers in supply chains orchestrated through AI.
Professor Mehmet Gumus hosts this episode.
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// ABOUT
Delve is the official thought leadership platform of the Desautels Faculty of Management at McGill University. Eric Dicaire is Delve’s managing editor. Professor Saku Mantere is Delve’s editor-in-chief. This episode was produced and edited by Eric Dicaire, and hosted by Mehmet Gumus.
// CHAPTERS
00:00 – Lean vs. Resilient Supply Chains
03:06 – Balancing Customer Needs with Back-End Operations
05:36 – How AI and Hyper-Digitization Are Transforming Supply Chain
09:00 – What Should SMEs Do to Catch the AI Wave?
11:05 – Will AI Replace Supply Chain Jobs?
18:45 – How Should We Teach Supply Chain in the Age of AI?
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