Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/atinyshrimp/plm-class-project
A comprehensive Product Lifecycle Management (PLM) tool developed as a semester-long project for our PLM course.
https://github.com/atinyshrimp/plm-class-project
database-management desktop-application management-tool plm product-management pyqt python sqlite sqlite3-database student-project supply-chain
Last synced: 28 days ago
JSON representation
A comprehensive Product Lifecycle Management (PLM) tool developed as a semester-long project for our PLM course.
- Host: GitHub
- URL: https://github.com/atinyshrimp/plm-class-project
- Owner: atinyshrimp
- Created: 2024-11-08T14:25:36.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2025-01-08T12:55:28.000Z (about 1 month ago)
- Last Synced: 2025-01-08T13:54:30.440Z (about 1 month ago)
- Topics: database-management, desktop-application, management-tool, plm, product-management, pyqt, python, sqlite, sqlite3-database, student-project, supply-chain
- Language: Python
- Homepage:
- Size: 382 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
Awesome Lists containing this project
README
# plm-class-project
A comprehensive Product Lifecycle Management (PLM) tool developed as a semester-long project for our PLM course.
## Installation
1. Clone the repository:
```bash
git clone https://github.com/atinyshrimp/plm-class-project.git
```
2. Navigate to the project directory:
```bash
cd plm-class-project
```
3. Install the dependencies:
```bash
pip install -r requirements.txt
```
4. Run the project:
```bash
python src/main.py
```
## Usage
### Main Window
- The main window provides access to various tabs for managing different aspects of the product lifecycle.
### Navigation Bar
- Use the navigation bar to switch between different sections such as Products, People, Processes, and more.
### Data Tabs
- Each section contains data tabs for viewing and managing related information.
- For example, the Products section includes tabs for product details, stock, and location.
### Adding & Editing Data
- Use the provided forms to add or edit data in each section.
- Ensure all required fields are filled before submitting the form.
### Styling
- The application uses a custom stylesheet for a consistent look and feel.
- You can modify the stylesheet in `palette_style.qss` and apply changes using the `apply_stylesheet` function in `styling.py`.
### Database
- The application connects to a database to store and retrieve data.
- Database queries are managed in `sql_queries.py`.
### Shortcuts
- The application includes various shortcuts for quick access to common actions.
- Refer to the menu for a list of available shortcuts.
## Functionalities
### Product Management
- **Product Sheets**: View and manage detailed information about each product, including ID, name, quantity, container, version, production date, description, and ingredients.
- **Cost Details**: Track and manage production costs, raw materials costs, selling prices, marketing costs, total costs, and margins.
- **Stock & Location**: Monitor stock levels, expiration dates, arrival dates, warehouse locations, and export data to CSV.
### People Management
- **Supplier Tracking**: Track supplier activities, view supplier details, and manage supplier data.
### Process Management
- **Production Tracking**: Track production processes, filter data by date range, product ID, and factory location, and export data to CSV.
- **Supplier Availability**: Monitor supplier availability, filter data by delivery dates, supplier names, and ingredients, and check for upcoming deliveries.
### Data Management
- **Batch History**: View and manage batch history, filter data by lot ID, product ID, or status, and export batch history to CSV.
### Additional Features
- **Login System**: Secure login system with different user roles (admin, viewer).
- **Context Menus**: Right-click context menus for quick actions on data tables.
- **Pagination**: Pagination controls for navigating through large datasets.
- **Export to CSV**: Export data from various tabs to CSV files for external use.
- **Graphical Analytics**: Visualize supplier analytics and stock trends using graphs.
## Changelog
For a detailed list of changes, refer to the `CHANGELOG.md` file.