February 2024

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.

January 2024

Machine Learning Applications in Logistics: Predicting Truck Driver Turnover

Jan 30, 2024 at 10:00AM - Jan 30, 2024 at 11:00AM

Online 

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Join us for the first webinar of 2024 in the MITx MicroMasters Program in SCM! Dr. David Correll, Lecturer and Research Scientist at the MIT Center for Transportation & Logistics and Co-Director of the MIT FreightLab, will join hosts Laura Allegue and Kellen Betts, Course Leads in the MicroMasters Program, to discuss recent work in the FreightLab that aims to solve a significant challenge in many supply chains — truck driver turnover. Using machine learning to predict which drivers are at risk of leaving, this research helps companies develop new interventions and strategies...

Executive Education – Supply Chains: Driving Strategic Advantage

Jan 30, 2024 at 8:00AM - Feb 02, 2024 at 2:45PM

MIT Campus

The MIT Center for Transportation & Logistics Executive Education intensive courses provide the resources you need to stay ahead of the latest developments in SCM. To harness the power of the supply chain as a strategic resource, executive leadership needs to cultivate teams that exhibit a unique combination of both analytical and interpersonal capabilities. Our faculty and instructors include some of the world’s most prominent thought leaders across disciplines.

16th Annual SCALE Expo

Jan 25, 2024 at 5:00PM - Jan 25, 2024 at 7:00PM

MIT Campus

The 16th annual MIT Global Supply Chain and Logistics Excellence (SCALE) Network Expo provides a unique opportunity to preview nearly 100 industry-sponsored research projects conducted by MIT SCALE graduate students.

The Magic Conveyor Belt: Supply Chains, A.I., and the Future of Work

Jan 10, 2024 at 11:00AM - Jan 10, 2024 at 12:00PM

Virtual

MIT CTL Director Prof. Yossi Sheffi, author of The Magic Conveyor Belt: Supply Chains, A.I., and the Future of Work, will peel back the layers of supply chains, talk about their pain points and how to make them more resilient, and discuss how technology, including AI, will shape supply chains and the future of work.

December 2023

Retail Supply Chains: A Global Perspective on Nanostores and Small-Organized Stores

Dec 12, 2023 at 8:00AM - Dec 12, 2023 at 9:30AM

Virtual

In this webinar, we will discuss nanostores—a vital part of the retail landscape in emerging markets—and their related challenges. Among other topics, we will focus on strategy and business models in the retail industry, the impacts of e-commerce and technology, the logistics challenges to serve this channel, the capabilities to anticipate or respond to potential disruptions, and the industry's future. Researchers from China, Latin America, and the United States, as well as two industry subject matter experts, will share their opinions and answer the moderators' and the attendees' questions.

AI, Data Science, and Machine Learning for Pharmaceutical Supply Chain Management

Dec 06, 2023 at 11:00AM - Dec 06, 2023 at 12:00PM

Virtual

In this monthly briefing, Dr. Elenna Dugundji will present six examples of the application of AI, data science, and machine learning across the supply chain for the pharmaceutical industry. All examples have been examined in the past 2 years by MIT Supply Chain Management master's students.

November 2023

State of Supply Chain Sustainability 2023: Sustainability Contains Multitudes

Nov 01, 2023 at 11:00AM - Nov 01, 2023 at 12:00PM

Virtual

Now in its fourth year, the annual report from MIT CTL and the Council of Supply Chain Management Professionals (CSCMP) examines how supply chain sustainability practices have evolved over a four-year period, how they are being implemented globally, and what that means for professionals, enterprises, industries, and the planet. The 2023 report examines a few key topics: - What (and who) is driving continued pressure on firms to make their supply chains more sustainable - Which areas of sustainability that pressure focuses on - How supply chain sustainability efforts have stood up to global crises in recent years - The state of firms’ net-zero goals

Applications of Simulation in Supply Chain Management: Inventory, Transportation, and System Dynamics



Nov 01, 2023 at 9:30AM - Nov 01, 2023 at 10:30AM

Virtual

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Industrial simulation is a powerful tool employed across various sectors to model and replicate real-world manufacturing processes, systems, or operations within a virtual environment. By mimicking the intricacies of production lines, supply chains, or logistical workflows, industrial simulations enable organizations to optimize their processes, improve decision-making, and enhance overall efficiency. These simulations incorporate factors like machinery behavior, resource allocation, and demand fluctuations, allowing businesses to test different scenarios, identify bottlenecks, and...

October 2023

Omnichannel Revolution: Navigating the Future of eCommerce

Oct 25, 2023 at 11:00AM - Oct 25, 2023 at 1:00PM

Virtual

MIT CTL is organizing a dynamic virtual roundtable discussion on the “Omnichannel Revolution: Navigating the Future of e-commerce”. This engaging session brings together industry experts and thought leaders to delve into the most critical topics shaping the future of online retail. We will discuss key challenges in omnichannel and eCommerce (e.g. fulfillment strategies, trends in warehouse automation, how to manage omnichannel returns), and how AI is impacting omnichannel and eCommerce strategies.