An Automated Storage and Retrieval System Optimization with MILP Methods
Published in Proceedings of the 5th International Conference on Computer Information Science and Artificial Intelligence (CISAI), 2023
This work studies optimization strategies for automated storage and retrieval systems (AS/RS) using mixed-integer linear programming (MILP).
The research focuses on improving storage efficiency and operational performance in automated warehouse environments by modeling system constraints and operational objectives within a mathematical optimization framework.
Key aspects of the work include:
- Mathematical modeling of AS/RS operations
- Mixed-integer linear programming optimization
- Simulation and evaluation of storage system efficiency
- Applications to intelligent logistics and warehouse automation
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Recommended citation: Chen, Y., Fan, B., Li, J., et al. (2023). "An Automated Storage and Retrieval System Optimization with MILP Methods." Proceedings of the 5th International Conference on Computer Information Science and Artificial Intelligence (CISAI), SPIE.
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