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#9 Borja Menéndez: Making Planners into Super Heroes

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Manage episode 498634551 series 3662212
Inhalt bereitgestellt von The Decision Intelligence Lab. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von The Decision Intelligence Lab oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

In this episode of the Decision Intelligence Laboratory podcast, Borja Menéndez, Lead Operations Research Engineer at Trucksters who also earned his PhD in OR, joins us to discuss his journey into the field of operations research, the impact of his work at Trucksters, and the importance of integrating data science with traditional optimization methods. He shares insights on the relay optimization problem, the challenges of implementing algorithms in logistics, and the significance of user-centric design in developing effective solutions. Borja also reflects on the transition of his blog, Feasible, to a paid model and the future of operations research in the context of Gen.AI.

Chapters

00:00 Introduction to Operations Research and Borja Menendez

01:14 The Journey into Operations Research

04:39 Real-World Applications of Operations Research

07:03 Understanding Trucksters and Relay Optimization

12:48 Challenges in Relay Optimization

16:21 Non-Technical Aspects of Implementing OR

20:15 Testing and Quality Assurance in Optimization Models

25:22 User-Centric Design in Optimization Solutions

27:47 Transitioning to a Paid Model for Feasible

29:32 Integrating Data Science with Operations Research

35:52 The Future of Operations Research and Gen.AI

Follow the show

Apple: ⁠https://podcasts.apple.com/in/podcast/the-decision-intelligence-lab/id1811085064⁠

Spotify: ⁠https://open.spotify.com/show/0lFoAVKqJHTYSZNpeN61ou?si=0ae973aab0174b3b⁠

Check out Borja Menéndez's Newsletter: https://www.feasible.club/

Connect with guest

Borja Menéndez: ⁠https://www.linkedin.com/in/borjamenendezmoreno/

Connect with hosts

Prof. Vijay Mehrotra (University of San Francisco): ⁠https://www.linkedin.com/in/vijay-mehrotra-ba9498/⁠

Prof. Michael Watson (Northwestern University): ⁠https://www.linkedin.com/in/michael-watson-07600a1⁠

About the podcast

The Decision Intelligence Lab podcast delivers real-world insights for data professionals, business leaders, and anyone seeking to leverage data & AI for smarter decision-making & successful business outcomes.

For business inquiries, email at ⁠[email protected]

  continue reading

14 Episoden

Artwork
iconTeilen
 
Manage episode 498634551 series 3662212
Inhalt bereitgestellt von The Decision Intelligence Lab. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von The Decision Intelligence Lab oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

In this episode of the Decision Intelligence Laboratory podcast, Borja Menéndez, Lead Operations Research Engineer at Trucksters who also earned his PhD in OR, joins us to discuss his journey into the field of operations research, the impact of his work at Trucksters, and the importance of integrating data science with traditional optimization methods. He shares insights on the relay optimization problem, the challenges of implementing algorithms in logistics, and the significance of user-centric design in developing effective solutions. Borja also reflects on the transition of his blog, Feasible, to a paid model and the future of operations research in the context of Gen.AI.

Chapters

00:00 Introduction to Operations Research and Borja Menendez

01:14 The Journey into Operations Research

04:39 Real-World Applications of Operations Research

07:03 Understanding Trucksters and Relay Optimization

12:48 Challenges in Relay Optimization

16:21 Non-Technical Aspects of Implementing OR

20:15 Testing and Quality Assurance in Optimization Models

25:22 User-Centric Design in Optimization Solutions

27:47 Transitioning to a Paid Model for Feasible

29:32 Integrating Data Science with Operations Research

35:52 The Future of Operations Research and Gen.AI

Follow the show

Apple: ⁠https://podcasts.apple.com/in/podcast/the-decision-intelligence-lab/id1811085064⁠

Spotify: ⁠https://open.spotify.com/show/0lFoAVKqJHTYSZNpeN61ou?si=0ae973aab0174b3b⁠

Check out Borja Menéndez's Newsletter: https://www.feasible.club/

Connect with guest

Borja Menéndez: ⁠https://www.linkedin.com/in/borjamenendezmoreno/

Connect with hosts

Prof. Vijay Mehrotra (University of San Francisco): ⁠https://www.linkedin.com/in/vijay-mehrotra-ba9498/⁠

Prof. Michael Watson (Northwestern University): ⁠https://www.linkedin.com/in/michael-watson-07600a1⁠

About the podcast

The Decision Intelligence Lab podcast delivers real-world insights for data professionals, business leaders, and anyone seeking to leverage data & AI for smarter decision-making & successful business outcomes.

For business inquiries, email at ⁠[email protected]

  continue reading

14 Episoden

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