This project is a 3D Packing Optimization project in partnership with InstaDeep. We are packing a Unit Load Device Unit Load Device Description
Specific dimensions for several Unit Load Devices.
Is it possible to pack shipping containers more efficiently? Save space, save time, save money - pack efficiently. Packing efficiently has the potential to reduce shipping costs that have increased due to the increase in fuel costs, shipping containers, trucks, and shipping bottlenecks.
Open-ended research questions:
- Which package do I pick next and how do I set the order of items before placing/packing?
- For an item (id: 1, length: L, width: W, height: H): Where do I place it and do I rotate it? Do I force the first package to be in the bottom-left corner?
- How do I observe and encode the current state?
- Building a clean RL environment in python
- Code testing and possibly test-driven development (TDD)
- Learning to formulate real-world use-cases into ML/RL problems
- Learning to implement and/or use advanced ML/RL algorithms and models
- Jongbum Lee
- Cristina Moody
- Sang Nguyen
This is the repository of 3D Packing capstone project designed to productionize MLops with Reinforcement Learning.