ILABUTK / Supplier_Selection_and_Order_Allocation_Optimization
We consider an integrated supplier selection and inventory control problem for a multi-echelon inventory system with an order-splitting policy. A buyer firm consisting of one warehouse and $N$ identical retailers procures a type of product from a group of potential suppliers; the acquisition of the warehouse takes place when the inventory level …
☆12Updated 3 years ago
Alternatives and similar repositories for Supplier_Selection_and_Order_Allocation_Optimization:
Users that are interested in Supplier_Selection_and_Order_Allocation_Optimization are comparing it to the libraries listed below
- Code for paper publication: Deep reinforcement learning-based solution for a multi-objective online order batching problem☆13Updated 2 years ago
- This repository contains the code associated with the paper "Stochastic Optimization for Material Requirements Planning" currently under …☆18Updated 4 years ago
- Implementation of inventory control policy parameters computation algorithms☆18Updated 3 years ago
- Official codes for "Multi-Agent Deep Reinforcement Learning for Multi-Echelon Inventory Management: Reducing Costs and Alleviating Bullwh…☆31Updated 2 years ago
- Algorithms Library for Supply Chain Inventory Optimization☆16Updated 6 years ago
- Reinplemtation of paper "A reinforcement learning approach for optimizing multiple traveling salesman problems over graphs"☆60Updated 3 years ago
- Reinforcement Learning for Supply Chain Optimization☆14Updated 5 years ago
- ☆9Updated 3 years ago
- Lagrangian Relaxation approach solve QIP☆67Updated 4 years ago
- Integration of DNN framework with Stochastic Multi-echelon Inventory Optimization (SMEIO)☆7Updated 4 years ago
- Energy-optimal Routing for Electric Vehicles using Deep Reinforcement Learning with Transformer☆23Updated last year
- Using Dantzig-Wolfe (DW) decomposition algorithm to solve MCNF(Multi Commodity Network Flow) problem. Final project for the course of (la…☆21Updated 2 years ago
- A repository holding methods from data-driven-optimization used in data science and operations research including sample average approxim…☆20Updated 4 years ago
- inventory simulation modules for single-echelon supply chain☆13Updated 6 years ago
- This project concentrates on implementation of Generalized Bender's Decomposition (GBD) algorithm for sparse linear regression problem.☆14Updated last year
- 论文算法☆14Updated 5 years ago
- This repository contains code related to solving and visualizing the Bi-Directional Electric Vehicle Routing Problem (B-EVRP) as well as …☆18Updated 3 years ago
- PSO-SA - a hybrid Particle Swarm Optimization and Simulated Annealing algorithm for automatic AI algorithm selection and tuning (for skle…☆13Updated 5 years ago
- A hybrid of Particle Swarm Optimisation and Genetic Algorithm applied to Flow Shop Scheduling☆34Updated 7 years ago
- Multi-Agent Reinforcement Learning approach to solve a battery charge scheduling problem, in a decentralized scenario.☆15Updated 4 years ago
- An open source library for connecting AnyLogic models with Reinforcement Learning frameworks through OpenAI Gymnasium☆35Updated 8 months ago
- 拉格朗日松弛（拉格朗日乘子法）的学习记录，不定时更新☆4Updated last year
- Link to paper: https://www.ssrn.com/abstract=3804655☆12Updated 3 years ago
- Meta-Learning-based Deep Reinforcement Learning for Multiobjective Optimization Problems☆34Updated 9 months ago
- Reinforcement learning for vrptw☆33Updated 4 years ago
- ALNS☆11Updated last year
- Multi-Depot Vehicle Routing Problem solver using Deep RL, GA and Google OR-Tools☆68Updated 4 years ago
- 运筹OR帷幄 强化学习学习小组☆25Updated 4 years ago
- Solving a Capacitated Vehicle Routing Problem with time windows constraints (CVRPTW) with Mixed Integer Linear Programming (MILP) in pyt…☆83Updated 3 years ago
- Evolutionary Algorithm (EA) for the Multi-Objective Multi-Commodity Two-Echelon Vehicle Routing Problem (M2-2E-VRP) with Heterogeneous Fl…☆22Updated 7 years ago