At the MIT Center for Transportation & Logistics
MIT Digital Supply Chain Transformation
Understanding new collaborative paradigms that arise during digital supply chain transformations
What is the Digital Supply Chain Transformation Initiative?
- Digital Supply Chain Transformation is the analysis of digital technology and data to the transition towards value-driven supply chains.
- Digital technology is accelerating the pace of business and transforming supply chains.
- Transforming the supply chain digitally can lead up to a 50% reduction in process costs and an increase in revenue by 20%.
- One of the challenges: inter-organizational collaboration changes during digital transformations.
Our Research Areas
Multidimensional Collaboration
When companies jointly implement new technologies, collaboration can take multiple forms. Collaboration becomes a key driver of competitive advantage.
Digital Supply Chain Capabilities
Essential for today’s digital SC, at the individual, organizational as well as at the supply chain level, dynamic capabilities enable successful transformation.
Artificial Intelligence and Supply Chain Management
AI promises to augment human capabilities and reshape companies. The reality of AI adoption in SCM finds itself deep in a cosmos of apparent contradictions.
Research Team
Dr. Maria Jesus Saenz
Founder and Director
Exec. Director SCM, MIT CTL
Digital SC Transformation
Dr. Ilya Jackson
Research Scientist
MIT SCM
AI in SCs
Dr. Benedict Jun Ma
Postdoctoral Associate
MIT CTL & SCM
Operations Automation
Dr. Eva Ponce
Executive Director
Micro Masters, MIT CTL
Omni-channel
Dr. Inma Borrella
Research Scientist
MIT CTL
Digital Strategy
Dr. Jaime Macias
Postdoctoral Associate
MIT CTL
Digital Logistics
International Research Collaborators
Prof. Carl Marcus Wallenburg
Professor
Otto Beisheim School of Management
Prof. Dmitry Ivanov
Professor
Berlin School of Economics and Law
Prof. Elena Revilla
Professor
IE Business School
Prof. Cristina Simon
Professor
IE Business School
Dr. Matthias Seifert
Associate Professor
IE University
Dr. Devadrita Nair
Research Scientist
Dr. Michela Guida
Assistant Professor
Politecnico de Milano
Dr. Jafar Namdar
Assistant Professor
Michigan State University
Dr. Christoph Maria Lennartz
Research Assistant
WHU
Student Research Assistants
Fabrizio Boaron
SCM Master’s Graduate '24
Foyinsola Adeyemi
SCM Master’s Graduate '24
Zhan Ding
SCM Master’s Graduate '24
Luis Felipe Sena
SCM Master’s Graduate '24
Ryan Rocke
SCM Master’s Graduate '24
Lili Zhang
SCM Master’s Graduate '24
Moutaz Ali
SCM Master’s Graduate '23
Yumeng (CC) Chen
SCM Master’s Graduate '23
Selected Research Partners
Highlights
Get the latest in supply chain thought leadership, education, development, and research by following our news blog.
Keynote speaker, The Logistics World Summit, Mexico April 2023
Multidimensional collaboration in last-mile delivery: The role of digital platforms.
Revolutionize cold chain: an AI/ML driven approach to overcome capacity shortages
This research investigates how Artificial Intelligence (AI) and Machine Learning (ML) forecasting methodologies can be leveraged for cold chain capacity planning, specifically utilizing Prophet and Seasonal Autoregressive Integrated Moving Average parametrized through grid search. In collaboration with Americold, the world’s second-largest refrigerated logistic service provider, the study explores the challenges and opportunities in applying AI/ML techniques to complex operations covering 385 customers and a capacity of 73,296 pallet positions.
From natural language to simulations: applying AI to automate simulation modelling of logistics systems
Our research strives to examine how simulation models of logistics systems can be produced automatically from verbal descriptions in natural language and how human experts and artificial intelligence (AI)-based systems can collaborate in the domain of simulation modelling.
Pair People and AI for Better Product Demand Forecasting
A new framework helps leaders orchestrate human and AI agents to accurately forecast product demand.
Contact Us
Contact Us
1 Amherst Street, MIT Building E40-376
Cambridge, MA 02139
United States
+1 617 253 8235
digitalsc@mit.edu