Pick Path Optimization is an innovative solution designed to streamline and enhance the efficiency of picking processes in warehouse environments. This project combines advanced algorithms and a user-friendly interface to optimize the path taken by workers during the picking process, reducing time and increasing productivity.
- Advanced Path Optimization Algorithms: Utilizes Python-based scripts like
clusterSimulation.pyandgetRoute.pyto calculate the most efficient routes for picking items. - Interactive Frontend Interface: A React-based frontend that allows users to input parameters and visualize optimized pick paths.
- Data-Driven Insights: Employs data analysis to improve path optimization over time, adapting to different warehouse layouts and item placements.
- Backend: Python for algorithm development and route optimization logic.
- Frontend: JavaScript, possibly React, for building an interactive web interface.
- Data Analysis: Python scripts for processing and analyzing pick path data.
- Python 3.x
- Node.js and npm (for frontend)
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Clone the repository:
git clone https://github.com/rithiksachdev/Pick-Path-Optimization.git -
Navigate to the backend directory and install Python dependencies:
cd pick-path-optimization-backendpip install -r requirements.txt -
Navigate to the frontend directory and install JavaScript dependencies:
cd ../pick-path-optimization-frontendnpm install
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Start the backend server:
python app.py -
Start the frontend application:
npm start -
Access the web interface at
http://localhost:3000(or the port specified) to input parameters and view optimized pick paths.
Contributions to improve the Pick Path Optimization project are welcome. Whether it's enhancing the algorithm, refining the frontend, or adding new features, your input is valuable.
This project is licensed under the MIT License - see the LICENSE file for details.