Massachusetts Institute of Technology Company Profile

Launched in 1973, the MIT Center for Transportation & Logistics is a dynamic solutions-oriented environment where students, faculty, and industry leaders pool their knowledge and experience to advance supply chain education and research.

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Massachusetts Institute of Technology
MIT Center for Transportation & Logistics
1 Amherst Street
Cambridge, MA 02142
United States
617 258-7267

Massachusetts Institute of Technology News

Why Scope 3 demands collaboration—not just compliance

Scope 3 is not a firm-level problem. It is a system-level problem, and it requires system-level solutions.

From chaos to coordination: Rethinking inbound logistics

A MIT supply chain Capstone project shows how coordinated inbound logistics using shared data, strategic consolidation hubs, and dynamic fleet planning can cut transportation costs by up to 60% while reducing emissions and spot freight dependence.

Supply chains under (cyber) attack

Cyberattacks are crippling supply chains and exposing hidden vulnerabilities in the very technologies meant to drive efficiency. As cloud platforms, robotics, and connected systems expand, companies must treat cybersecurity as a core supply chain function, building redundancy,…

Optimizing procurement analytics with Generative AI and automated data visualization

A new MIT SCM capstone project demonstrates how a Generative AI-powered chatbot can transform procurement analytics by replacing static dashboards with conversational, data-driven insights that accelerate decision-making and reduce manual reporting tasks.

Beyond risk management: Making the case for supply chain resilience investment

Investing in resilience beyond traditional risk management can deliver long-term operational, financial, and competitive advantages, turning adaptive capacity into a strategic asset for future-ready supply chains.

Reading the freight forecast: Making sense of the truckload market cycle

New research defines a clear, four-phase framework for the U.S. truckload market cycle and develops forecasting models using spot and contract rates alongside macroeconomic and industry indicators, enabling stakeholders to better anticipate and respond to capacity-demand shifts.

Mapping the impact of geographic differences on global supply chain practices

Global trends such as nearshoring and increasing geopolitical risks underscore the importance of companies in understanding the national and regional differences of the regions in which their supply chain partners operate.

The paradox of carbon reduction spending in corporate supply chains

Despite growing investments in carbon reduction, spend-based accounting methods may inadvertently inflate corporate emissions unless companies push for more precise, supplier-level data transparency.

Is co-location the next big game-changer in supply chain?

Supply chain co-location offers a powerful solution for companies seeking to remain cost-effective, quick to market, and environmentally sustainable. Research finds one model can result in a 77% reduction in freight costs and 72% reduction in inventory holding costs.

Criticality of U.S. food supply chains from Latin America

A single port disruption could have a devasting impact on the ability of the U.S. to import certain food products from Latin America.

Combating sequential time delays in pharmaceutical supply chains

The pharmaceutical industry faces significantly longer lead times than other industries, and time delays can seriously impact the health outcomes of countless individuals. Recognizing the potential risks this poses, one industry giant sought to improve on-time delivery through…

Navigating the road to zero-emission trucking

The state of California recently withdrew from a mandate that would have required truckers to buy battery-electric and hydrogen fuel-cell vehicles. The retreat is part of a changing carbon emissions-reduction landscape in the U.S., shaped largely by the new Trump…

The trade-off between affordability and availability

Research looked at the trade-off between affordability and availability of medicines and how downstream dynamics impact patient access to oncology drugs.

From reactive to proactive: Mitigating semiconductor delivery in an oil & gas company

By leveraging a data-driven approach and machine learning algorithms, an oil & gas company was able to more accurately predict semiconductor availability, reducing safety stock inventory and more effectively predicting lead-time forecasting.

Harnessing generative AI for smarter supplier negotiations

Project seeks to “place a data scientist in the pockets” of procurement professionals.

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