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By TED
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Get instant insights and key takeaways from this YouTube video by TED.
Historical Precedent and Modern Challenges
π The 1973 toilet paper shortage, triggered by a Johnny Carson joke, illustrates how perception can create real supply chain crises, similar to current, more serious disruptions.
π A supply chain involves a complex journey: mining/growing raw materials suppliers manufacturers distributors/carriers retailers consumers.
π Companies historically avoid building buffers (like extra inventory or idle equipment) due to the steep competition and cost pressures between crises.
Strategies for Resilience: Sharing Risk and Transparency
π€ Sharing or pooling risk like insurance offers a solution for low-probability, high-impact events by allowing industry players to share the cost of stockpiling critical resources (e.g., pharmaceutical APIs).
π Achieving resilience requires radical supply-chain transparency, meaning visibility beyond Tier 1 suppliers to know where raw materials originate and who else competes for those inputs across the entire supply web.
π The semiconductor shortage demonstrated this complex interdependence: auto manufacturers competing for chips with consumer electronics (like tablets and laptops) due to initial order cancellations during the pandemic.
Leveraging Automation and Data
π€ Advanced technologies like AI and machine learning are necessary to handle overwhelming data volumes, predict problems before they occur, and recommend specific management actions.
π An example cited is spotting plastic resin shortages: combining data on decreased production, severe weather events, demand surges for packaging, and trucking rate spikes could trigger warnings.
βοΈ This concept mirrors how the airline industry uses computers to analyze data (weather, passenger location) to efficiently reroute thousands of people during disruptions.
π Stopping the repetition of past mistakes (like the 2009 H1N1 respirator shortage) requires imaginative adoption of shared risk, transparency, and automated recommendations.
Key Points & Insights
β‘οΈ To overcome the trade-off between resilience and efficiency, focus on implementing sharing risk, radical transparency, and automated recommendations.
β‘οΈ Supply chain risk extends beyond direct competitors to any company utilizing the same scarce inputs (e.g., Ford competing with PlayStation 5 manufacturers for microprocessors).
β‘οΈ Implement control tower technologies enhanced by AI to analyze complex datasets and provide actionable alerts (e.g., suggesting alternative suppliers or early notification to customers about potential delays).
πΈ Video summarized with SummaryTube.com on Nov 16, 2025, 17:22 UTC
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Full video URL: youtube.com/watch?v=y_EjCSz1aBo
Duration: 10:23
Get instant insights and key takeaways from this YouTube video by TED.
Historical Precedent and Modern Challenges
π The 1973 toilet paper shortage, triggered by a Johnny Carson joke, illustrates how perception can create real supply chain crises, similar to current, more serious disruptions.
π A supply chain involves a complex journey: mining/growing raw materials suppliers manufacturers distributors/carriers retailers consumers.
π Companies historically avoid building buffers (like extra inventory or idle equipment) due to the steep competition and cost pressures between crises.
Strategies for Resilience: Sharing Risk and Transparency
π€ Sharing or pooling risk like insurance offers a solution for low-probability, high-impact events by allowing industry players to share the cost of stockpiling critical resources (e.g., pharmaceutical APIs).
π Achieving resilience requires radical supply-chain transparency, meaning visibility beyond Tier 1 suppliers to know where raw materials originate and who else competes for those inputs across the entire supply web.
π The semiconductor shortage demonstrated this complex interdependence: auto manufacturers competing for chips with consumer electronics (like tablets and laptops) due to initial order cancellations during the pandemic.
Leveraging Automation and Data
π€ Advanced technologies like AI and machine learning are necessary to handle overwhelming data volumes, predict problems before they occur, and recommend specific management actions.
π An example cited is spotting plastic resin shortages: combining data on decreased production, severe weather events, demand surges for packaging, and trucking rate spikes could trigger warnings.
βοΈ This concept mirrors how the airline industry uses computers to analyze data (weather, passenger location) to efficiently reroute thousands of people during disruptions.
π Stopping the repetition of past mistakes (like the 2009 H1N1 respirator shortage) requires imaginative adoption of shared risk, transparency, and automated recommendations.
Key Points & Insights
β‘οΈ To overcome the trade-off between resilience and efficiency, focus on implementing sharing risk, radical transparency, and automated recommendations.
β‘οΈ Supply chain risk extends beyond direct competitors to any company utilizing the same scarce inputs (e.g., Ford competing with PlayStation 5 manufacturers for microprocessors).
β‘οΈ Implement control tower technologies enhanced by AI to analyze complex datasets and provide actionable alerts (e.g., suggesting alternative suppliers or early notification to customers about potential delays).
πΈ Video summarized with SummaryTube.com on Nov 16, 2025, 17:22 UTC
Find relevant products on Amazon related to this video
As an Amazon Associate, we earn from qualifying purchases

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