This project aims to optimize the layout and operations of a client’s warehouse through computational modeling, specifically leveraging a multi-agent system (MAS) approach. The objective is to enhance the warehouse's efficiency, minimize operational bottlenecks, and improve overall productivity. Each agent in the system represents a critical warehouse component, such as storage units, picking systems, or transport vehicles, and interacts autonomously within the model to accomplish shared optimization goals.
This project is currently under active development. Please feel free to contribute or provide feedback. Detailed installation instructions, comprehensive usage examples, and other pertinent information will be added in due course.
A list of technologies used within the project:
To get started with OpenGL, follow these instructions for installation:
- Install from Python You can install the library directly using pip. First, make sure you have Python and pip installed on your system.
$ pip install pygame
$ pip install PyOpenGL PyOpenGL_accelerate
- Verify Installation Once installed, you can verify that OpenGl is correctly installed by importing it in a Python environment.
import pygame
import OpenGL
To collaborate with our project, follow these steps:
- Fork the repository on GitHub.
- Make your desired changes in your forked repository.
- Submit a pull request with a clear description of your changes.
- We welcome contributions from the community to improve our project and make it even better!
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This project is licensed under the terms of the MIT license.