This project is a Python application for optimizing production lines and performing sensitivity analysis. It provides a graphical user interface (GUI) for users to load factory and problem files, run optimization algorithms, and conduct sensitivity analysis on the results.
- Load factory and problem files
- Run optimization to find the best combination of production lines
- Perform sensitivity analysis on the optimized results
- User-friendly GUI built with customtkinter
The project requires the following Python libraries:
- pandas
- numpy
- itertools
- matplotlib
- pathlib
- tkinter
- customtkinter
- CTkMessagebox
- tkinter
The project consists of the following main files:
PlhProjectSecondGUI.py: The main application file containing the GUI and core functionality.Plhproject.py: An alternative version of the project with similar functionality.- Various
.factoryand.probfiles in theProduction_linesdirectory, representing different factory configurations and production problems.
- Run the
PlhProjectSecondGUI.pyfile to start the application. - Use the GUI to select a factory file and a corresponding problem file.
- Click "Run Optimization" to find the best combination of production lines.
- After optimization, you can run a sensitivity analysis to examine how changes in costs affect the total production cost.
open_factory(file_path): Loads factory data from a file.open_prob(file_path): Loads problem data from a file.optimum_combination(n, m, c, a, p): Calculates the optimal combination of production lines.sensitivity_analysis(c, best_combination, a, p, selected_line, distribution, num_simulations): Performs sensitivity analysis on the optimized result.
The application uses customtkinter to create a modern-looking GUI with the following main components:
- Dropdown menus for selecting factory and problem files
- Buttons for running optimization and sensitivity analysis
- A results display area
This project is licensed under the MIT License. See the LICENSE file for more details.