Matthias Winkenbach, PhD
Director of Research, MIT Center for Transportation & Logistics | Senior Research Scientist, MIT | Chair, MIT Transportation Education Committee | Director, MIT Intelligent Logistics Systems Lab & MIT CAVE Lab MIT Center for Transportation & Logistics
- Cambridge MA
Dr. Winkenbach researches at the intersection of AI, operations research, and human decision-making — transforming global supply chains.
MIT Center for Transportation & Logistics
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Biography
He is the founder and director of the MIT Intelligent Logistics Systems Lab, which applies operations research, artificial intelligence, and machine learning to transform logistics through intelligent automation, predictive analytics, and algorithmic decision-making — including recent work on drone-based delivery, fleet decarbonization, and warehouse automation. He also founded the MIT Computational Analytics, Visualization, and Education (CAVE) Lab, which develops human-centric interfaces that make advanced supply chain analytics accessible to decision-makers through interactive visualization and natural-language tools, and which created the world’s first open-source software development framework for visual supply chain analytics applications. Since May 2026, Dr. Winkenbach chairs the MIT Transportation Education Committee, serving as academic head of the MIT Master of Science in Transportation program and the MIT Interdepartmental Ph.D. Program in Transportation.
Dr. Winkenbach was the scientific lead of the 2021 Amazon Last Mile Routing Research Challenge, which engaged a global research community with real operational data and $175,000 in prizes, and served as Lead Guest Editor of the resulting Transportation Science Special Issue on Machine Learning Methods and Applications in Large-Scale Route Planning Problems. He is a Co-Curator of the World Economic Forum’s Strategic Intelligence on Supply Chain, Logistics & Transportation Transformation and a frequent keynote speaker at leading industry events worldwide.
Areas of Expertise
Links
Education
WHU – Otto Beisheim School of Management
Dr. rer. pol. (PhD)
Transportation & Logistics
2014
WHU – Otto Beisheim School of Management
MSc
Business Administration
2011
WHU – Otto Beisheim School of Management
BSc
Business Administration
2009
Affiliations
- MIT Center for Transportation & Logistics : Director of Research, Feb 2024 – Present
- MIT Transportation Education Committee : Chair, May 2026 – Present
- MIT Intelligent Logistics Systems Lab : Founder & Director, Jun 2024 – Present
- MIT CAVE Lab : Founder & Director, Jan 2017 – Present
- Transportation Science (INFORMS) : Associate Editor, Cross-Cutting Methods & Emerging Technologies
- Transportation Research Part E: Logistics & Transportation Review (Elsevier) : Editorial Advisory Board Member
- World Economic Forum : Co-Curator, Strategic Intelligence on Supply Chain, Logistics & Transportation Transformation, 2023 – Present
- MIT Climate & Sustainability Consortium : Supporting Researcher
- INFORMS : Member, 2012 – Present; Organizing Committee, 2026 Transportation Science & Logistics Conference
- Production and Operations Management Society (POMS) : Member, 2013 – Present
- Deakin University Urban Logistics Lab : Scientific Advisory Board Member, 2019 – Present
Languages
- English
- German
- French
Media Appearances
Beyond the Hype: Decoding AI in Supply Chains
MIT Supply Chain Frontiers Podcast online
2026-01-20
Artificial Intelligence is frequently hailed as a transformative force for global supply chains, yet the gap between technological promise and operational reality remains a central challenge for industry leaders. In this episode, host Dr. Matthias Winkenbach, Director of Research at MIT CTL, leads a nuanced discussion on the transition from AI hype to the implementation of functional "decision technology."
Smarter Warehouses: AI & Robotics at the Forefront of Logistics Innovation
MIT Supply Chain Frontiers Podcast online
2025-01-09
In this episode we sit down with Dr. Matthias Winkenbach, Director of Research at the MIT Center for Transportation & Logistics, Alejandro González, Software Business Unit Director at Mecalux, and Iñaki Fernández, Chief Technology Officer at Mecalux.
MIT-Mecalux research collaboration: Q&A with Matthias Winkenbach
Mecalux Group online
2024-12-03
This collaborative project aims to expedite the integration of self-learning artificial intelligence (AI) in logistics, with applications that hold significant potential for businesses and society. Watch the full interview : https://www.youtube.com/watch?v=ktxCHLBqKdA
60 Seconds with Matthias Winkenbach, Director of Research at MIT
Modern Materials Handling online
2024-12-01
Matthias Winkenbach, Director of Research at MIT's Center for Transportation and Logistics, leads a new lab focused on integrating AI and machine learning to transform logistics systems, from last-mile delivery to intelligent warehouse operations, through innovative research and industry collaboration.
3 Questions: Enhancing last-mile logistics with machine learning
MIT News online
2024-04-16
MIT Center for Transportation and Logistics Director Matthias Winkenbach uses AI to make vehicle routing more efficient and adaptable for unexpected events.
Last-mile logistics – Interview with Matthias Winkenbach (MIT Research Scientist)
Mecalux Group online
2024-01-09
In this episode, Dr. Matthias Winkenbach, Principal Research Scientist at the Massachusetts Institute of Technology Center for Transportation and Logistics (@MITCTL), discusses the potential of artificial intelligence in reshaping e-commerce and logistics operations.
Thought starters - Implementing AI in the supply chain with Matthias Winkenbach
Goodman Group online
2023-10-25
In this episode, Dr. Matthias Winkenbach, Principal Research Scientist at the MIT Center for Transportation & Logistics, discusses how AI and machine learning are reshaping global supply chains.
Trends & Innovations in Last Mile Delivery | Matthias Winkenbach
Freightvine Podcast online
2020-07-02
In this episode, Chris Caplice sits down with his MIT colleague and last mile transportation expert, Dr. Matthias Winkenbach. The duo discuss what it takes to build an effective last mile delivery strategy in urban areas with tactics such as: Multi-tier distribution, On-demand delivery [and] Drone logistics.
Commentary: Drone-Delivery Projects Must Look Beyond the Hype
The Wall Street Journal online
2019-11-27
Unmanned aircraft have a role in the future of logistics, but pie-in-the-sky forecasts should give way to a realistic assessment of capabilities and economics
Walmart Expands Online Grocery Delivery to 100 Cities
The New York Times online
2018-03-14
“They probably just look at the relatively high delivery fee and get scared off,” said Matthias Winkenbach, director of M.I.T.’s Megacity Logistics Lab. “Walmart would have to do a very good job communicating the overall economics of shopping their everyday low prices versus Amazon.”
Augmented Reality to Revolutionize How Companies Manage Supply Chains, Says MIT Researcher
The Wall Street Journal online
2017-04-04
Dr. Matthias Winkenbach, an MIT researcher with a Ph.D. in economics, envisions a future where supply chain managers wearing augmented or virtual reality headsets could make quicker decisions, save money and maximize their productivity.
Speaking Engagements/Featured Conversations
Using Visualization to Connect Humans and Analytics in Supply Chain Decision-Making
In this webinar, MIT research scientist Matthias Winkenbach discusses how interactive visualization and augmented reality technology will change the way we access, understand, and utilize complex systems and logistics data. Watch the full webinar: https://www.youtube.com/watch?v=NMNXEua7pSM
The Role of AI in e-Commerce and e-Fulfillment
In this webinar hosted by Dr. Eva Ponce, the Director of the MITx MicroMasters Program in SCM, expert panelists Dr. Matthias Winkenbach of MIT CTL and Chris Huber of Mecalux, share how they are leveraging AI tools and algorithms—particularly in positioning inventory in complex omnichannel networks as well as the use of Autonomous Mobile Robots (AMRs)—to bring flexibility and optimize operations. Watch the full webinar: https://www.youtube.com/watch?v=XTQqkTD8l8Q
Last-mile Logistics on Steroids: How to Connect Humans, Machines, and Algorithms to Deliver to the Future Needs of Consumers
Dr. Matthias Winkenbach, Director of the MIT Megacity Logistics Lab, discusses how novel technologies and advanced algorithms can enable future last-mile logistics services to create superior value for consumers and businesses. Watch the full lecture: https://www.youtube.com/watch?v=7_ZCA8_ntqQ
Research Papers
Last-mile delivery with drone resupply at transshipment platforms
Transportation Research Part E: Logistics and Transportation Review.Juan C. Pina-Pardo, Matthias Winkenbach
2026-06-01
We address a pragmatic use case for cargo drones in last-mile delivery that exploits the benefits of this emerging technology while being cognizant of present-day safety and regulatory concerns around unmanned aerial freight movements. Specifically, we study the use of drones to resupply ground-based delivery vehicles en route with additional shipments via transshipment platforms located across the service area.
Technology and energy choices for fleet asset decarbonization under cost uncertainty
Transportation Research Part D: Transport and EnvironmentJonas Lehmann, Matthias Winkenbach
2025-02-01
The road freight transportation sector faces significant challenges in reducing greenhouse gas emissions due to uncertainty in the costs and trajectories of low-emission technologies. This work introduces the Fleet Assets Decarbonization Problem (FADP) to guide and facilitate fleet owners’ investment decisions by providing cost-minimizing decarbonization pathways for ground fleets under decarbonization targets.
Revitalizing municipal solid waste recycling: Review of current U.S. policies and potential directions for the circular economy
MIT Science Policy ReviewMarcel Peppel, Stefan Spinler, Matthias Winkenbach
2024-08-27
Municipal Solid Waste (MSW) recycling is a pivotal pillar in waste reduction and sustainable resource management. However, the United States (U.S.) is behind its schedule for the national recycling rate goal of 50% by 2030, which California is almost achieving.
Integrating mobile parcel lockers into last-mile delivery networks: an operational design for home delivery, stationary, and mobile parcel lockers
International Journal of Physical Distribution & Logistics Management2024-03-14
The e-commerce boom presents new challenges for last-mile delivery (LMD), which may be mitigated by new delivery technologies. This paper evaluates the impact of mobile parcel lockers (MPL) on costs and CO2 equivalent (CO2e) emissions in existing LMD networks, which include home delivery and shipments to stationary parcel lockers.
A matheuristic for the Two-Echelon Multi-Trip Vehicle Routing Problem with mixed pickup and delivery demand and time windows
Transportation Research Part C: Emerging TechnologiesJonas Lehmann, Matthias Winkenbach
2024-03-01
Two-Echelon Vehicle Routing Problems (2E-VRPs) describe the distribution of goods via two echelons of vehicles and sets of transshipment facilities. They have received growing attention in academic research and their applications are becoming increasingly widespread in modern last-mile logistics systems.
2021 Amazon Last Mile Routing Research Challenge: Data Set
Transportation ScienceDaniel Merchán, Jatin Arora, Julian Pachon, Karthik Konduri, Matthias Winkenbach, Steven Parks, Joseph Noszek
2022-09-14
The 2021 Amazon Last Mile Routing Research Challenge, hosted by Amazon.com’s Last Mile Research team, and scientifically supported by the Massachusetts Institute of Technology’s Center for Transportation and Logistics, prompted participants to leverage real operational data to find new and better ways to solve a real-world routing problem.
Event Appearances
Organizing Committee & Lab Sponsor,
July 2026 | 2026 INFORMS Transportation Science & Logistics Conference at MIT Cambridge, MA
Plenary “Future Supply Chains” and customer panel with BMS, Cytiva, and McKinsey & Company
May 2026 | DHL Life Sciences & Healthcare Forum Boston, MA
Featured Speaker
April 2026 | MODEX 2026 Atlanta, GA
Intelligent Logistics Systems: How AI Will Transform the Way We Move, Store, and Deliver (Keynote)
December 2025 | Logistics Management/SCMR 2025 Supply Chain Outlook Virtual Summit Online
Technology Impact on Supply Chains
March 2025 | MIT CTL Crossroads 2025 Cambridge, MA
AI-Driven Innovation in Logistics
March 2024 | MIT CTL Crossroads 2024 Cambridge, MA
Partnerships
Research collaborations with the world's leading logistics, retail, and consumer brands.
A track record of applied research and industry collaboration spanning global logistics, retail, consumer goods, and the public sector. Founding research partner: Mecalux (MIT Intelligent Logistics Systems Lab). Current and former research partners include Adidas, Amazon.com, Anheuser-Busch InBev, BASF, B2W Digital, CMPC, Coca-Cola FEMSA, DHL, Flipkart, IBM Research, Kenvue, La Poste Group, Llamasoft, Maersk, MIT Climate & Sustainability Consortium, MIT Energy Initiative, PepsiCo, Procter & Gamble, Roche, SkyCell, Swiggy.com, UPS, Walmart, World Bank Group, and the U.S. Department of Transportation.
Availability
- Keynote
- Moderator
- Panelist
- Workshop Leader
- Author Appearance
Awards
Transportation Science Meritorious Service Award
Issued by The Institute for Operations Research and the Management Sciences (INFORMS)
Sep 2022
Best Paper Award
Issued by International Conference on City Logistics
Jun 2017
Best Paper Award
Issued by ILS 2016 Conference
June 2016
Finalist, Daniel H. Wagner Prize for Excellence in Operations Research Practice
Issued by The Institute for Operations Research and the Management Sciences (INFORMS)
Nov 2015
Science Award for Supply Chain Management
Issued by Bundesvereinigung Logistik (BVL)
Oct 2014
Courses
SCM.293 / 1.263 / 11.263 Urban Last-mile Logistics
Creator and main instructor; graduate course cross-listed across MIT’s Supply Chain Management, Civil & Environmental Engineering, and Urban Planning programs.
SCM.275 Advanced Supply Chain Systems Planning and Network Design
Co-developed and co-taught with Dr. Milena Janjevic; consistently rated among the top offerings in the MIT SCM graduate program.
SCM.275x: Supply Chain Design (MITx / edX MOOC)
Massive Open Online Course launched 2024; co-developed and co-taught with Dr. Milena Janjevic.
MIT CTL Executive Education
Regular instructor in open-enrollment and custom programs, including “Supply Chains: Driving Strategic Advantage” (sessions on Machine Learning & AI in SCM and Urban Last-Mile Logistics).
MIT Sloan Executive Education
Regular instructor, including the Advanced Management Program (“The Future of Urban Last-Mile Logistics”) and the Digital Supply Chain Program (“Data & Predictive Analytics in SCM”).
Graduate Certificate in Logistics & SCM (GCLOG)
Session instructor.
MIT MicroMasters SCx Bootcamps
Sessions on data visualization and urban last-mile logistics.
