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Found 3 papers, 0 papers with code
An Optimistic-Robust Approach for Dynamic Positioning of Omnichannel Inventories
Using a real-world dataset from a large American omnichannel retail chain, a business value assessment during a peak period indicates over a 15% profitability gain for BIO over RO and other baselines while also preserving the (practical) worst case performance.
Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting
To address this test-validation mismatch, we propose a novel technique, H-Pro to drive HPO via test proxies by exploiting data hierarchies often associated with time series datasets.
Deep Policy Iteration with Integer Programming for Inventory Management
Finally, to make RL algorithms more accessible for inventory management researchers, we also discuss a modular Python library developed that can be used to test the performance of RL algorithms with various supply chain structures.
