A powerful and modern Manufacturing Execution System (MES) dashboard built with Next.js, designed to optimize factory operations, production monitoring, inventory management, and real-time industrial workflows.
The platform provides manufacturers with complete visibility into production processes through an advanced dashboard interface, helping improve efficiency, reduce downtime, and support data-driven decision-making.
MES Dashboard is a smart factory management platform that centralizes production data, machine monitoring, employee workflows, inventory tracking, and operational analytics into a single modern web application.
The system is designed to help factories and industrial companies manage daily operations efficiently while maintaining high performance, scalability, and security.
- Real-time production monitoring
- Factory performance analytics
- Inventory and materials management
- Machine and equipment tracking
- Employee management system
- Production scheduling
- Order and workflow management
- KPI and reporting dashboard
- Secure authentication and role management
- Responsive and modern UI/UX
- Fast and scalable architecture
- Server-side rendering with Next.js
- Optimized performance and caching
- Dynamic data visualization
- Clean and reusable component structure
- API integration support
- Mobile-responsive dashboard
- SEO-friendly architecture
- Next.js
- React.js
- TypeScript
- Tailwind CSS
- Framer Motion
- Recharts
- Node.js
- Express.js
- MongoDB
- REST API
- Firebase Authentication
- JWT Authentication
- Vercel
- Docker
- AWS
- Track production lines
- Monitor production status
- Manage manufacturing workflows
- Materials tracking
- Product stock management
- Warehouse monitoring
- Factory KPIs
- Productivity reports
- Performance statistics
- Staff monitoring
- Task assignments
- Attendance tracking
├── app
├── components
├── dashboard
├── charts
├── hooks
├── services
├── lib
├── store
├── types
├── utils
└── publicgit clone https://github.com/your-username/mes-dashboard.gitcd mes-dashboardnpm installnpm run devThe application will run on:
http://localhost:3000npm run dev
npm run build
npm run start
npm run lint- Code splitting
- Lazy loading
- Dynamic imports
- Optimized rendering
- API caching
- Efficient state management
- AI-based production analysis
- IoT device integration
- Real-time machine alerts
- Multi-factory management
- Advanced analytics system
- Export reports to PDF/Excel
- Dark mode support
The platform can be deployed using:
- Vercel
- AWS
- Docker
- DigitalOcean
Abdullah Abdalsalam
GitHub: https://github.com/abdullah-abd-alslam
This project is licensed under the MIT License.