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Modernizing Your Supply Chain is Faster and Less Expensive Than You Thought with Professor David Simchi-Levi from MIT

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Contenido proporcionado por Alloy.ai. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Alloy.ai o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

We sit down with world-renowned supply chain guru, Professor David Simchi-Levi. This MIT professor and head of the MIT Data Science Lab, shares his insights on supply chain digitization and delivering on the promise of increased forecast accuracy while reducing risks. It's a transformative discussion on how you, with a moderate financial investment, can swiftly digitize your supply chain while reaping the rewards. Our discussion touches on:

  • How a unified view of demand and segmentation can allow you to craft bespoke supply chain strategies for different products, channels, and markets.
  • The fusion of analytics, data, and algorithms with intuition, experience, and domain knowledge.
  • The pioneering work done by the MIT Data Science Lab on supply chain resiliency and how giants like Ford Motor Company leveraged this technology.

We're not just talking theories. We dive straight into how supply chain management can be optimized using smart S&OP and smart execution. Learn We share real-life examples of how a consumer-packaged goods manufacturing company used data sources to predict retail orders, making concepts easy to grasp and apply in your own businesses.
In this discussion we reference:

  continue reading

Capíttulos

1. Modernizing Your Supply Chain is Faster and Less Expensive Than You Thought with Professor David Simchi-Levi from MIT (00:00:00)

2. Supply Chain Digitization (00:00:01)

3. Digitized Supply Chain and Demand Analysis (00:18:31)

4. Science and Art in Supply Chain Forecasting (00:29:25)

5. Supply Chain Resiliency and Digitization (00:33:24)

15 episodios

Artwork
iconCompartir
 
Manage episode 380634549 series 3514811
Contenido proporcionado por Alloy.ai. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Alloy.ai o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

We sit down with world-renowned supply chain guru, Professor David Simchi-Levi. This MIT professor and head of the MIT Data Science Lab, shares his insights on supply chain digitization and delivering on the promise of increased forecast accuracy while reducing risks. It's a transformative discussion on how you, with a moderate financial investment, can swiftly digitize your supply chain while reaping the rewards. Our discussion touches on:

  • How a unified view of demand and segmentation can allow you to craft bespoke supply chain strategies for different products, channels, and markets.
  • The fusion of analytics, data, and algorithms with intuition, experience, and domain knowledge.
  • The pioneering work done by the MIT Data Science Lab on supply chain resiliency and how giants like Ford Motor Company leveraged this technology.

We're not just talking theories. We dive straight into how supply chain management can be optimized using smart S&OP and smart execution. Learn We share real-life examples of how a consumer-packaged goods manufacturing company used data sources to predict retail orders, making concepts easy to grasp and apply in your own businesses.
In this discussion we reference:

  continue reading

Capíttulos

1. Modernizing Your Supply Chain is Faster and Less Expensive Than You Thought with Professor David Simchi-Levi from MIT (00:00:00)

2. Supply Chain Digitization (00:00:01)

3. Digitized Supply Chain and Demand Analysis (00:18:31)

4. Science and Art in Supply Chain Forecasting (00:29:25)

5. Supply Chain Resiliency and Digitization (00:33:24)

15 episodios

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