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
- Implementation of inventory control policy parameters computation algorithms☆19Updated 2 years ago
- Code for paper publication: Deep reinforcement learning-based solution for a multi-objective online order batching problem☆11Updated 2 years ago
- Algorithms Library for Supply Chain Inventory Optimization☆16Updated 5 years ago
- inventory simulation modules for single-echelon supply chain☆14Updated 6 years ago
- learn from xprog and bertsimas's paper(price of robustness)☆19Updated 6 years ago
- Integration of DNN framework with Stochastic Multi-echelon Inventory Optimization (SMEIO)☆8Updated 3 years ago
- This repository contains the code associated with the paper "Stochastic Optimization for Material Requirements Planning" currently under …☆17Updated 4 years ago
- The goal of the project was to design the logistic model of autonomous robots that would supply garment parts from the Cutting Dept to th…☆25Updated 3 years ago
- This is the code repository for the paper "Zero-Sum Stochastic Stackelberg Games".☆15Updated 2 years ago
- Using Dantzig-Wolfe (DW) decomposition algorithm to solve MCNF(Multi Commodity Network Flow) problem. Final project for the course of (la…☆19Updated last year
- A repository holding methods from data-driven-optimization used in data science and operations research including sample average approxim…☆20Updated 4 years ago
- Energy-optimal Routing for Electric Vehicles using Deep Reinforcement Learning with Transformer☆24Updated last year
- Link to paper: https://www.ssrn.com/abstract=3804655☆13Updated 3 years ago
- Evolutionary Algorithm (EA) for the Multi-Objective Multi-Commodity Two-Echelon Vehicle Routing Problem (M2-2E-VRP) with Heterogeneous Fl…☆21Updated 7 years ago
- Computing Nash, Stackelberg game, and other types of equilibrium☆24Updated 4 years ago
- Official codes for "Multi-Agent Deep Reinforcement Learning for Multi-Echelon Inventory Management: Reducing Costs and Alleviating Bullwh…☆26Updated 2 years ago
- ☆13Updated 5 years ago
- Materials for "RL for Inventory Optimization", Day 4 of the "RL for Operations Bootcamp", Kellogg School of Management, Northwestern Univ…☆15Updated 7 months ago
- In the process of solving the 2E-VRP problem, the large-scale destruction and repair algorithm is used to ensure that the algorithm does …☆26Updated 5 years ago
- Solving Resource Allocation problems with Mixed-Integer Linear Programming in Python☆30Updated 6 years ago
- We explore the application of deep reinforcement learning in the field of robotic control, the cooperative and competitive behavior of mu…☆34Updated 4 years ago
- ☆16Updated 3 years ago
- This work explains how OR and ML in tandem can help us making a cost efficient decisions. I have used a Supply Chain Network Design use c…☆22Updated 4 years ago
- Multi-Depot Vehicle Routing Problem solver using Deep RL, GA and Google OR-Tools☆66Updated 3 years ago
- Electric Vehicle Routing Problem☆33Updated 3 years ago
- A Variable Neighborhood Descent with Ant Colony Optimization to Solve a Bilevel Problem with Station Location and Vehicles Routing☆18Updated 2 years ago
- Reinplemtation of paper "A reinforcement learning approach for optimizing multiple traveling salesman problems over graphs"☆55Updated 3 years ago
- This is a repo for my Bachelor's dissertation, a topic about using Reinforcement Learning to solve EV charge Scheduling question.☆18Updated last year
- Matlab code for the figures and the examples used in G. Bacci, L. Sanguinetti, and M. Luise, "Understanding game theory via wireless powe…☆59Updated 9 years ago
- Developed a Multi-Agent DDPG to solve Vehicle Scheduling problem.☆11Updated last year