andvise / inventory-controlLinks
Implementation of inventory control policy parameters computation algorithms
☆19Updated 3 years ago
Alternatives and similar repositories for inventory-control
Users that are interested in inventory-control are comparing it to the libraries listed below
Sorting:
- ☆14Updated 4 years ago
- Link to paper: https://www.ssrn.com/abstract=3804655☆14Updated 4 years ago
- ☆22Updated 4 years ago
- ☆14Updated 2 years ago
- ☆58Updated last year
- Implementation of the (dynamic) stochastic dual dynamic integer programming (SDDiP) algorithm.☆24Updated last week
- A Python library for addressing the supply chain inventory management problem using deep reinforcement learning algorithms.☆102Updated 2 years ago
- Official codes for "Multi-Agent Deep Reinforcement Learning for Multi-Echelon Inventory Management: Reducing Costs and Alleviating Bullwh…☆57Updated 3 years ago
- Multi-task end-to-end predict-then-optimize☆13Updated 2 years ago
- A curated list of awesome video lectures and learning resources for operations analytics.☆32Updated 4 years ago
- Solution to the Capacitated Vehicle Routing Problem using Gurobi's optimisation procedures.☆11Updated 5 years ago
- inventory simulation modules for single-echelon supply chain☆13Updated 7 years ago
- Benders decomposition to solve mixed integer linear programming, especially stochastic programming in seconds!☆26Updated 6 years ago
- Code and computational experiments of the paper "Benders Adaptive-Cuts Method for Two-Stage Stochastic Programs" by Cristian Ramírez-Pico…☆17Updated 2 years ago
- Data and code for the paper Data-Driven Robust Optimization using Unsupervised Deep Learning written by Marc Goerigk and Jannis Kurtz☆27Updated 4 years ago
- CityLearn Challenge Multi-Agent Reinforcement Learning for Intelligent Energy Management, 2020, PikaPika team☆28Updated 4 years ago
- 运筹OR帷幄 强化学习学习小组☆25Updated 4 years ago
- Code for paper publication: Deep reinforcement learning-based solution for a multi-objective online order batching problem☆15Updated 3 years ago
- Neur2SP: Neural Two-Stage Stochastic Programming☆50Updated 2 years ago
- ☆20Updated 3 years ago
- Dynamic Pricing BwK Problem and Reinforcement Learning☆31Updated 7 years ago
- ☆40Updated 4 years ago
- A framework for building and training a reinforcement learning agent to run a mini supply chain☆16Updated 2 years ago
- Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)☆68Updated 4 years ago
- An end-to-end framework for mixed-integer optimization with data-driven learned constraints.☆138Updated 2 years ago
- Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing☆74Updated 2 years ago
- A repository holding methods from data-driven-optimization used in data science and operations research including sample average approxim…☆23Updated 5 years ago
- StochOptim is a Stochastic Optimization package with scenario-generation tools for two- and multi-stage problems☆27Updated 2 years ago
- Code for the paper "Smart 'Predict, then Optimize'"☆86Updated last year
- ☆34Updated 5 years ago