Industry · Sustainability
Amachains Orde
Clarity for complex supply chains. Visual industrial process modeling, carbon footprint and traceability.
The whole
product.
Amachains Orde is a web platform for calculating and tracing carbon footprints in production systems. It features a visual modeling canvas built with React Flow where users can drag-and-drop production nodes (machines, processes, storage) and connect them to model their manufacturing flow. The platform implements ISO 14044 allocation methods (Mass, FIFO, and Production Orders with automatic fallback), real-time collaboration via Socket.io rooms, production order management, a materials library with environmental impact factors, and analytics dashboards with KPIs. Key technical features include forward/reverse carbon traceability with lot lineage, hybrid topological graph analysis for final product identification, pre-computed calculation caches with MongoDB aggregation pipelines, and multi-tenant organization management. Built with React 18, Express.js, and React Flow.
Solution scope
Production modeling with React Flow, ISO 14044 allocation, real-time collaboration, and forward and reverse traceability.
How it works
in practice.
Capabilities connecting the user experience to operational needs.
Visual Production Modeling
React Flow canvas with drag-and-drop nodes for modeling production systems — machines, processes, storage — with visual connections.
Carbon Footprint Calculation
Calculation engine implementing ISO 14044 with three allocation methods: Mass, FIFO, and Production Orders.
Real-Time Collaboration
Socket.io rooms enabling multiple users to simultaneously edit production models with throttled broadcasting.
Forward/Reverse Traceability
Carbon traceability with lot lineage — trace carbon impact forward to products or reverse to raw materials.
Materials Library
Curated library of materials with environmental impact factors for accurate carbon calculations.
Analytics Dashboard
KPI dashboard with carbon metrics, production efficiency, and environmental impact visualizations.
Behind
the interface.
Service-Oriented MVC + Real-Time Layer
React frontend with React Flow for visual modeling, Express.js backend with service layer for calculation logic, Socket.io for real-time collaboration, and MongoDB for persistence with aggregation pipelines for analytics.
Solution components
- React 18 (React Flow Canvas)
- Socket.io Real-Time Layer
- Express.js API (Service Layer)
- Calculation Engine (ISO 14044)
- MongoDB (Atlas)