The Massachusetts Institute of Technology Center for Transportation & Logistics (MIT CTL) and Mecalux S.A have started a five year collaborative project to expedite the integration of self-learning Artificial Intelligence (AI) in logistics.
Through MIT’s Intelligent Logistics Systems Lab, the two institutions will explore new applications of AI models with significant potential for businesses and society.
“The objective of our collaboration with Mecalux is to foster disruptive innovation and achieve two highly impactful use cases where AI transforms industry decision making. We will train complex self-learning machine learning models to ultimately reduce costs, lower carbon footprints and improve service quality for customers,” says Dr Matthias Winkenbach, director of research at MIT CTL and the Intelligent Logistics Systems Lab.
In the first year of this project, the teams at the Intelligent Logistics Systems Lab and Mecalux will develop two key research areas to accelerate innovation. The first will focus on increasing the productivity of autonomous warehouse robots. Using advanced simulation, optimisation, and machine learning techniques, researchers will develop a ‘swarm intelligence’ system enabling multiple robots to operate as a single entity, making collective decisions.
“We aim to create a new generation of autonomous robots that learn from human behaviour to foster greater collaboration and efficiency in warehouses,” adds Dr Winkenbach. The second research area will centre on training self-learning AI models. The Intelligent Logistics Systems Lab will design systems capable of learning from demand patterns and anticipating new customer purchasing habits.
“Current distribution systems fail to account for the full complexity of logistics networks and often make strong simplifying assumptions. This project seeks to help companies operating large networks of warehouses, distribution centres and stores automatically determine the most efficient way to fulfil each order – taking into account the ‘real time’ status of the distribution network,” concludes Dr Winkenbach.
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Having spent a decade in the fastener industry experiencing every facet – from steel mills, fastener manufacturers, wholesalers, distributors, as well as machinery builders and plating + coating companies, Claire has developed an in-depth knowledge of all things fasteners.
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