Past Events Archive

Thriving Instead of Surviving: How to increase resiliency in supply chains during tumultuous times

Apr 11, 2024 at 10:00AM - Apr 11, 2024 at 11:00AM

A lean supply chain has long been the ultimate goal and gold standard. “Trim the fat”,
“reduce cost”, and “reduce waste” have been common sayings. The past few years
have highlighted that lean supply chains perform best with predictability. Minimal lead
time variability on raw components and finished goods has allowed companies to hold
less safety stock; moreover, sourcing departments rarely have updated supplier contact
information because it is easier to send a PO to a generic email. Prior years data could
be used to set forecasts for the next year, and use of data analytics provided improved
forec...

Why Do Humans and AI Have to Work Together?

Apr 03, 2024 at 11:00AM - Apr 03, 2024 at 12:00PM

Virtual

Join this engaging session with the Dr. Maria Jesus Saenz, Director of the MIT Digital Supply Chain Transformation Lab where we will discuss the latest research around Humans and AI complementary capabilities. We will present examples of different configurations of human-AI collective intelligence and how they are contextualized to apply AI more successfully. And we will also discuss some applications and research field experiments on human-AI collective intelligence in forecasting and demand planning.

2024 Annual Partner Meeting

Mar 27, 2024 at 8:30AM - Mar 27, 2024 at 1:00PM

MIT Campus

The MIT Center for Transportation & Logistics (MIT CTL) convenes members from the MIT CTL Supply Chain Exchange for the Annual Partner Meeting. The Annual Partner Meeting provides the representatives from our 50+ Supply Chain Exchange member companies with updates on the latest research and development activities at MIT CTL. We use this time together to solicit input from members on future plans for the Center.

Crossroads 2024

Mar 26, 2024 at 9:00AM - Mar 26, 2024 at 4:00PM

MIT Campus

How will AI impact our jobs and work? Discover how emerging innovations intersect with supply chain management. Since 2014, Crossroads has been offering a unique learning opportunity for participants by connecting experts from MIT, the world’s foremost center for technological innovation, with the foremost business and management industry leaders, and researchers from the MIT Center for Transportation & Logistics, the global leader in supply chain education and research.

Technology Solutions for Global Supply Chain Sustainability

Mar 19, 2024 at 12:00PM

Join us for the final webinar of the 2024 Winter Series in the MITx MicroMasters Program in SCM!

Laura Allegue and Kellen Betts, the course leads for SC2x and SC4x, will host Harris Chalat, Co-Founder and CEO of Muir AI, to discuss the challenges and opportunities within corporate Scope 3 emissions and the use of technology presenting innovative solutions in the field.

Join us to learn about the challenges companies face with emissions data in their supply chains and how AI, data fusion, and machine learning can help companies understand the impacts of and design better supply chains.

Harri...

2023-24 POMS and MIT–SCALE Latin America & Caribbean Conference

Mar 16, 2024 at 9:00AM - Mar 19, 2024 at 5:00PM

Cartagena de Indias, Colombia

POMS Chapter for the Caribbean and Latin America + MIT–SCALE Conference for Latin America and the Caribbean = one major conference for the region

We are excited to announce that the MIT–SCALE Conference for Latin America and the Caribbean (LAC) will merge with the 2023 POMS LAC Conference! The event will be hosted by a consortium consisting of LOGYCA, Universidad Tecnologica de Bolivar, and Universidad del Norte on March 16–19, 2024. It will be a hybrid virtual/in-person event. Join us in Cartagena de Indias, Colombia, or from anywhere in the world! Review presentations from top academics and...

Sustainable Supply Chains: Transforming Your Climate Pledges into Actionable Strategies

Mar 06, 2024 at 11:00AM - Mar 06, 2024 at 12:00PM

Virtual

In this presentation, Dr. Josué C. Velázquez Martínez will discuss how companies can build sustainable supply chain strategies to achieve their carbon targets while meeting their business goals. In addition, he will present some examples of sponsored research projects conducted by the sustainable supply chain lab, where companies are available to account for carbon emissions in their supply chain and logistics decisions.

Social-driven supply chain network design: Bringing nutrition to underserved communities through AI

Feb 29, 2024 at 11:00AM - Feb 29, 2024 at 12:00PM

Join us for the second webinar of 2024 in the MITx MicroMasters Program in SCM!

 

Laura Allegue and Kellen Betts, the course leads for SC2x and SC4x, will be honored to host Dr. Christopher Mejia to discuss the importance of using prescriptive analytics (i.e., operations research and artificial intelligence) to analyze complex food supply chains. Join us to learn why food issues matter and how efficient supply chains can reduce them. We will discuss how data- and model-driven approaches can improve nutrition in underserved communities in India by formulating an optimization model to...

AI-Driven Supply Chains: 3 Cases

Feb 29, 2024 at 8:00AM - Feb 29, 2024 at 9:00AM

Virtual

REGISTER TO ATTEND

Join researchers from across the MIT Global SCALE Network for an interactive discussion.

This MIT Global SCALE Network webinar explores how supply chains are being transformed from three complementary perspectives: how strategy and leadership have to be deployed to reach impactful SC transformation, how AI-driven algorithms are developed to improve operations, and finally, the role of data-driven decisions supported by AI to enhance efficiency and interpretability. The critical components of three practical case studies will be discussed, including well-known companies...

How to Operationalize Forecasts in a Trustworthy Manner

Feb 07, 2024 at 11:00AM - Feb 07, 2024 at 12:00PM

Virtual

This research focuses on the profound impact of the shocks caused by the COVID-19 pandemic on the accuracy of AI-based demand forecasting in the beauty care industry. It aims to understand the key factors that led to decreased forecasting accuracy during the pandemic and employs causal mediation analysis to systematically investigate this complex issue. The empirical analysis is conducted using extensive order data from a major beauty care product manufacturer and distributor, covering the pre-pandemic, pandemic, and post-pandemic periods.