Project Start Date July 2024
The MIT Intelligent Logistics Systems Lab (ILS) is a pioneering research initiative designed to revolutionize logistics operations through cutting-edge research at the intersection of operations research (OR), artificial intelligence (AI), and machine learning (ML) technologies. This innovative lab is made possible by the foundational support and collaboration with Mecalux, a global leader in intralogistics.
The Intelligent Logistics Systems Lab will bring together MIT researchers, industry experts, and policymakers to develop and implement AI- and ML-based solutions aimed at tackling some of the most pressing, high-impact challenges in logistics. The lab's mission is to drive advancements that enhance efficiency, sustainability, resilience, and customer satisfaction within the logistics industry.
The lab intends to explore several key research streams: (*) Predictive intelligence: The ILS Lab will explore high-impact predictive models powerd by AI and ML, including the development of highly accurate, near-term predictive capabilities essential for highly responsive logistics services such as same-day and sub-same-day delivery. Prescriptive intelligence: The ILS Lab will develop new methods and models that combine OR with ML and AI to solve complex combinatorial optimization problems critical for logistics operations, such as vehicle routing, inventory planning, and network design, in a richer context of non-trivial real-world objectives, constraints, and uncertainties. (*) Autonomous intelligence: The ILS Lab aims to explore the role, control, and impact of advanced logistics systems and technologies that can independently perform tasks, make decisions, and learn from their environments without continuous human intervention. For instance, this includes mobile robots that assist or replace human warehouse or delivery activities and that operate autonomously in complex and dynamic settings. (*) Collective intelligence: The ILS Lab lab will study the collective behavior and coordination of autonomous systems or entities working together to solve a common problem. This stream of work often draws inspiration from natural systems, such as insect colonies or bird flocks, where individual agents follow learned policies, leading to complex and efficient group behavior. In the context of intelligent logistics systems, this involves the synchronization and cooperation of multiple agents such as autonomous robots or crowd-sourced carriers to optimize system performance. (*) Augmented intelligence: The ILS Lab aims to study how human decision-making can be enhanced by combining human intelligence with AI. Specifically, the lab intends to explore how decision support systems and operations management software can effectively combine human expertise with AI-driven insights.
The establishment of the Intelligent Logistics Systems Lab marks the beginning of a strategic research partnership between MIT Center for Transportation Logistics (CTL) and Mecalux. This collaboration combines MIT’s academic excellence with Mecalux’s extensive industry experience, promising a collaborative approach to solving complex logistics problems. The seed funding received from Mecalux will enable the new lab to attract some of MIT’s most talented students and build a strong interdisciplinary research team early on, giving it a head start in uncovering the vast potential of research at the intersection of operations research and artificial intelligence in transforming the supply chain and logistics industry toward a smart, sustainable, and customer-centric future.