Smart Chaos Machines is a next generation optimization platform designed to revolutionize factory packing operations. Currently, factory operators manually configure counting machines for each production order based on brick type and production requirements. It is a time-intensive process that relies heavily on operator experience and intuition.
The solution automates this configuration process by collecting real-time performance data from counting machines via OPC-UA protocol, analyzing historical patterns, and applying machine learning algorithms to determine optimal settings. The system will automatically configure counting machines during production changeovers, reducing manual intervention while improving throughput and consistency.
Key capabilities include:
- Real-time monitoring and control of counting machines across production lines
- Automated configuration management based on production orders and element characteristics
- Comprehensive observability dashboards for operators, developers, and data scientists
- Machine learning-driven optimization that continuously improves based on performance feedback
- Global deployment architecture supporting factories worldwide with cloud-based universal monitoring
The platform transforms counting machine operations from reactive, manual processes to proactive, data-driven automation—ultimately reducing changeover times, minimizing human error, and establishing a foundation for continuous performance optimization across the global manufacturing network.
| Need to understand... | Read this document |
|---|---|
| What we're building and why | Project Proposal |
| How we're building it (timeline & phases) | Implementation Plan |
| How the team collaborates | Ways of Working |
| Technical architecture | Project Proposal - Architecture Decisions |
| Sprint planning process | Ways of Working - Visual Planning |
| Risk management | Project Proposal - Key Risks |
| Success metrics | Project Proposal - Success Metrics |
This platform is designed to comply fully with GDPR and relevant data protection regulations, especially for deployments across the European Union. Key points to note:
- Data Minimization: We collect only the data necessary for the platform's purpose, including machine telemetry and configuration metadata.
- Personal Data Handling: If any operator-related personal data (such as login events or audit trails) are captured, processing is strictly governed by explicit consent and data subject rights.
- Data Sovereignty: Production and operator data processed on-premises for real-time operations, with aggregated, anonymized data streamed to compliant cloud services for global analytics.
- Access and Transparency: Operators can request access to their data and exercise rights to correct or delete data, consistent with GDPR requirements.
- Security Measures: Data is encrypted in transit and at rest, with robust access controls and audit logging.
- Privacy by Design: Privacy and data protection principles are embedded throughout the system design and development lifecycle.
For detailed information on GDPR compliance and data handling policies, see the Project Proposal - GDPR and Data Handling section.
The Smart Chaos Machines platform uses a hybrid edge-cloud architecture that keeps real-time control on-premises while enabling universal monitoring through a cloud-based data lake.
- Edge Processing: Real-time OPC-UA communication and machine control remain on factory premises
- Cloud Data Lake: Aggregated data streams to cloud for global analytics and cross-factory insights
- Universal Monitoring: Single dashboard view across all global factories
For complete architectural details, see Project Proposal - Architecture Decisions.
Diagram Reference: This system diagram is also created using the C4 model for visualizing software architecture.
Diagram Reference: This architecture diagram is created using the C4 model for visualizing software architecture.
The team operates in 2-week agile sprints with a focus on continuous pairing and architecture-driven planning. Our approach emphasizes:
- Pair Programming as Default: All production code written in pairs to maximize knowledge distribution
- Visual Planning: Architecture diagram snapshots drive sprint planning and task breakdown
- Phase-Based Development: Clear phase boundaries from foundation through global rollout
- Current Phase: Check Implementation Plan
- Sprint Planning Process: Ways of Working - Visual Planning
- Pairing Guidelines: Ways of Working - Pair Programming
- Team Health Practices: Ways of Working - Team Health
For complete team collaboration details, see Ways of Working.
Tech Stack: This project is built with .NET 10 and follows the principles of CLEAN architecture for maintainability, scalability, and testability.
Current Implementation Phase: View in Implementation Plan
Success Metrics Tracking: View targets in Project Proposal
https://learn.microsoft.com/en-us/dotnet/aspire/troubleshooting/untrusted-localhost-certificate
- Close all browser windows
- Run
dotnet dev-certs https --clean - Run
dotnet dev-certs https --trust - Rebuild solution and run
- Understand the Project: Start with Project Proposal
- Check Current Sprint: Review Implementation Plan
- Join the Team: Read Ways of Working for collaboration practices
- Set up Development Environment: Follow technical setup instructions above
For questions about the project, architecture, or team practices, refer to the relevant documentation sections linked above.