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: about 2 months ago
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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 (over 1 year ago)
- Default Branch: main
- Last Pushed: 2026-04-15T21:49:04.000Z (3 months ago)
- Last Synced: 2026-04-15T23:30:02.117Z (3 months ago)
- Topics: database-management, desktop-application, management-tool, plm, product-management, pyqt, python, sqlite, sqlite3-database, student-project, supply-chain
- Language: Python
- Homepage:
- Size: 5.28 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
Awesome Lists containing this project
README
# Hive: PLM Class Project
[](https://www.python.org/)
[](https://www.qt.io/)
[](https://www.sqlite.org/)
> **Streamline Your Product Lifecycle. From Supply to Sales.**
A comprehensive Product Lifecycle Management (PLM) platform designed to optimize operational efficiency, reduce costs, and enhance decision-making across your entire product lifecycle. Built with enterprise-grade features and user-centric design, this platform transforms how organizations manage products, suppliers, inventory, and production processes.
## 🎯 Business Value
- **Operational Efficiency**: Centralize all product and supply chain data in one secure platform
- **Cost Optimization**: Real-time cost tracking, margin analysis, and production insights
- **Risk Mitigation**: Supplier monitoring, batch tracking, and supply chain visibility
- **Data-Driven Decisions**: Advanced analytics and reporting capabilities for strategic planning
- **Role-Based Access**: Secure multi-user environment with admin and viewer permissions
## 🚀 Key Features
### Product Management Suite
- **Comprehensive Product Sheets**: Track ID, name, quantity, containers, versions, production dates, descriptions, and ingredients
- **Cost Intelligence**: Monitor production costs, raw material expenses, selling prices, marketing costs, and calculate margins
- **Stock & Inventory**: Real-time stock level monitoring, expiration tracking, warehouse location management, and CSV export capabilities
### Supply Chain Optimization
- **Supplier Intelligence**: Track supplier activities, monitor availability, and manage detailed supplier profiles
- **Demand Planning**: Filter deliveries by date range, supplier name, and ingredient requirements
- **Production Analytics**: Visualize production trends, filter by date range and factory location
### Advanced Analytics
- **Batch History Management**: Complete lot tracking with filtering and export capabilities
- **Supplier Analytics**: Graphical visualization of supplier performance and trends
- **Stock Trend Analysis**: Monitor inventory patterns and make informed stocking decisions
### Enterprise Features
- **Secure Authentication**: Role-based login system with admin and viewer access levels
- **Data Export**: CSV export functionality across all modules for reporting and analysis
- **Pagination & Search**: Handle large datasets efficiently with intuitive navigation
- **Contextual Actions**: Right-click context menus for streamlined workflows
## 📋 Installation
1. Clone the repository:
```bash
git clone https://github.com/atinyshrimp/plm-class-project.git
cd plm-class-project
```
2. Install dependencies:
```bash
pip install -r requirements.txt
```
3. Launch the application:
```bash
python src/main.py
```
## 🎮 Getting Started
### Dashboard Navigation
The main window provides intuitive access to key business areas:
- **Products**: Manage product portfolios, costs, and inventory
- **People**: Maintain supplier and organizational contacts
- **Processes**: Track production workflows and timelines
- **Data**: Access historical batch records and compliance data
### Core Workflows
#### Adding & Managing Data
- Use intuitive forms to input or modify data across all modules
- Required fields are clearly marked to ensure data quality
- Real-time validation provides immediate feedback
#### Exporting Reports
All major sections support CSV export for:
- Integration with business intelligence tools
- Compliance documentation
- Strategic reporting and analysis
#### Monitoring & Analytics
- Filter data by multiple criteria (date range, product, supplier, location)
- Visualize trends with built-in graphical analytics
- Export insights for stakeholder presentations
## 🏗️ Technical Architecture
### Technology Stack
- **Frontend**: PyQt5 (Native desktop UI)
- **Backend**: Python 3.8+
- **Database**: SQLite with optimized queries
- **Styling**: Custom QSS stylesheets for consistent branding
### Project Structure
```
src/
├── main.py # Application entry point
├── globals.py # Global configurations
├── components/ # UI components & tabs
├── database/ # Database layer & queries
├── dialogs/ # User dialogs & windows
├── utils/ # Utility functions
└── widgets/ # Reusable widget components
```
### Database
- Relational schema for integrity and performance
- Comprehensive query library in `sql_queries.py`
- Automated population scripts for test data
## 🔐 User Management
### Authentication Levels
- **Admin**: Full access to all features and settings
- **Viewer**: Read-only access to data and reports
### Security Features
- Role-based access control (RBAC)
- Secure login mechanism
- Audit trail for compliance requirements
## 📊 Business Use Cases
### Scenario 1: Manufacturing Company
Use PLM to manage multi-product portfolios with complex supply chains, track production costs in real-time, and optimize inventory across multiple warehouses.
### Scenario 2: Supply Chain Optimization
Monitor supplier performance, track ingredient deliveries, identify supply chain bottlenecks, and reduce procurement costs through data-driven insights.
### Scenario 3: Compliance & Traceability
Maintain comprehensive batch history for regulatory compliance, track product versions and ingredients, and generate audit-ready reports.
### Scenario 4: Cost Management
Break down production costs by component, analyze margins across product lines, and identify cost reduction opportunities through detailed analytics.
## 🛠️ Customization & Styling
The application supports extensive customization:
- Modify the stylesheet in `assets/styles/palette_style.qss` for brand alignment
- Apply custom styles using the `apply_stylesheet()` function in `utils/styling.py`
- Extend components with additional business logic as needed
## 📜 Attribution
Developed as a semester project for advanced Product Lifecycle Management coursework.
## 📝 Changelog
For detailed information about updates, improvements, and bug fixes, see [CHANGELOG.md](CHANGELOG.md).