Research

Computational Analytics, Visualization & Education (CAVE) Lab

We turn complex supply chain and logistics data into clear, interactive insights—making analysis and decision-making more intuitive through advanced visualization.
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Students gathered in the CAVE Lab.

The MIT CAVE Lab brings complex supply chain and logistics data to life through advanced visualization. This interactive lab empowers students, researchers, and decision-makers to dive into real-time data, gain strategic insights, and solve pressing challenges in supply chain design and logistics planning. Using state-of-the-art methods and tools, the MIT CAVE Lab is transforming how we understand and improve the world’s supply chains. 

  • Interactive Decision-Making Workshops: These sessions enable decision-makers to interactively explore and evaluate supply chain design alternatives, leading to better and more robust strategic design decisions.
  • Collaborative Innovation: Partnering with the MIT CAVE Lab fosters knowledge transfer and the development of educational resources, positioning our industry partners at the forefront of supply chain innovation.

Smarter Decision Making

Several major companies collaborate with us to revolutionize the way they make supply chain design decisions. By integrating advanced computational models with immersive visualization technologies, these initiatives aim to enhance efficiency, adaptability, and data-driven strategic decision-making across complex supply chains.
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Innovative Education

The MIT CAVE Lab offers an intuitive, collaborative environment for students across all programs and levels to explore quantitative methods in supply chain, transportation, and logistics. Through interactive demo applications, students study principles of data science, optimization, and simulation, developing intuition about the complex trade-offs faced by supply chain executives. This unique setting allows students to understand theory, apply it to real data, and enhance their practical decision-making skills.
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Supply Chain Simulation in the CAVE Lab

CAVE Open-Source App Development Framework

To expand the access to our technology, we have developed an open-source framework enabling the creation of visually interactive supply chain analytics applications.

Key Features:

  • Open-source framework actively maintained and expanded by the MIT CAVE Lab
  • Enables anyone to create intuitive web applications to solve complex supply chain problems through interactive visualization
  • Applications deployed on cloud platforms like Amazon Web Services (AWS) and Microsoft Azure

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