Advanced Print Calculation System Development -- 2
Budget: €36 – €0 EUR
Project Specification: Print Calculation System with Scalable Architecture
1. Overview
This project aims to develop a print calculation system with a scalable architecture for long-term maintenance, updates, and expansion. The system will enable the creation of machine configurations, material management, and cost calculations, integrating with ERP, production planning tools, and AI-powered assistance.
2. Technology Stack (Flexible Options)
The system should be modular, with flexibility in technology choices:
Backend & API Management: Laravel (PHP) OR FastAPI (Python) OR Node.js (JavaScript/TypeScript)
Calculation Engine: Python (FastAPI) OR Node.js for performance-intensive calculations
Frontend: Vue.js OR React for a modern, high-performance user interface
Database: PostgreSQL OR MySQL
Task Queues & Async Processing: Redis, RabbitMQ, or Amazon SQS for background jobs
AI/ML Integration: OpenAI API, TensorFlow, or PyTorch for advanced calculations and recommendations
3. Backend Requirements
3.1 Machine Configuration
Users should be able to configure printing machines and processing equipment either manually or by selecting from a predefined list of machine types with specifications. Machines can be categorized as:
Printing Machines (e.g., Omet X6 with defined parameters)
Inline Processing Units (e.g., coating, laminating, die-cutting)
Offline Processing Units (e.g., slitting, finishing)
Additionally, users should have the option to define a machine with blank parameters for custom configurations.
3.2 Material & Consumable Management
The system should allow adding and managing materials such as:
Substrates & Raw Materials (paper, foil, film, etc.)
Ink & Coatings
Printing Plates & Cylinders
Pre-owned Flexo Cylinders
Sleeves & Hubs
3.3 EDI Integration
An EDI (Electronic Data Interchange) interface must be provided to manage material procurement and stock updates. This should allow:
Automatic material availability checks
Real-time pricing and order updates
Integration with suppliers’ systems
4. Frontend Requirements
4.1 Calculation Module
The frontend should facilitate different types of calculations:
Detailed Cost Calculation
Granular breakdown based on machine configuration, material usage, and processing steps
Consideration of setup times, waste rates, and efficiency factors
Dynamic cost estimation based on real-time material and machine data
Quick Estimate Calculation
Fast pricing approximation using pre-defined formulas and average values
Ideal for quick customer inquiries
4.2 AI-Assisted Calculations & Recommendations
AI-powered predictive pricing based on historical data
Automated material recommendations based on job specifications
AI-driven optimization suggestions for machine and process configurations
4.3 User Management & Roles
Admin users should have full access to machine and material configuration
Operators and estimators should be able to perform calculations but not modify machine parameters
Role-based access control (RBAC) should be implemented
5. Dynamic Calculation Engine
Rule-based Calculation Models for different production scenarios
Python or Node.js-based Services for high-performance computation
Modular Calculation Components for flexibility
AI Integration for optimization and forecasting
Cache Mechanism to speed up repeated calculations
6. Production Planning System Integration
A production planning tool should be integrated for workflow optimization. Potential solutions include:
Prinect Production Manager (Heidelberg) – Ideal for print shops, offering JDF integration
CERM MIS – Print industry-specific ERP with estimation and job tracking
Hybrid Software CLOUDFLOW – Advanced automation for packaging and label printing
PrintVis (Microsoft Dynamics NAV/365) – Fully integrated print ERP solution
7. ERP & Xentral Integration
For seamless workflow, the system should:
Send calculated quotes to Xentral ERP for order processing
Transfer job specifications and material requirements to the ERP
Support EDI-based supplier management for procurement
Enable XML/JDF-based communication with production systems
8. Long-term Maintenance & Scalability
This project is intended as a long-term solution with ongoing maintenance, updates, and feature enhancements. Considerations include:
Scalable Architecture to allow future integrations and system growth
Automated Testing & CI/CD Pipeline for stable releases
Security Best Practices for data protection and compliance
Documentation & API Standards for easy collaboration and system extension
9. Additional Considerations
Multi-language support for international users
Cloud-based vs. On-premise hosting options
Scalability for future modules (e.g., automated imposition, AI-based pricing recommendations)
Security & Data Privacy (role-based permissions, audit logs, GDPR compliance)
This document outlines the fundamental requirements, but further refinement is needed based on specific workflows and user needs.
1. Overview
This project aims to develop a print calculation system with a scalable architecture for long-term maintenance, updates, and expansion. The system will enable the creation of machine configurations, material management, and cost calculations, integrating with ERP, production planning tools, and AI-powered assistance.
2. Technology Stack (Flexible Options)
The system should be modular, with flexibility in technology choices:
Backend & API Management: Laravel (PHP) OR FastAPI (Python) OR Node.js (JavaScript/TypeScript)
Calculation Engine: Python (FastAPI) OR Node.js for performance-intensive calculations
Frontend: Vue.js OR React for a modern, high-performance user interface
Database: PostgreSQL OR MySQL
Task Queues & Async Processing: Redis, RabbitMQ, or Amazon SQS for background jobs
AI/ML Integration: OpenAI API, TensorFlow, or PyTorch for advanced calculations and recommendations
3. Backend Requirements
3.1 Machine Configuration
Users should be able to configure printing machines and processing equipment either manually or by selecting from a predefined list of machine types with specifications. Machines can be categorized as:
Printing Machines (e.g., Omet X6 with defined parameters)
Inline Processing Units (e.g., coating, laminating, die-cutting)
Offline Processing Units (e.g., slitting, finishing)
Additionally, users should have the option to define a machine with blank parameters for custom configurations.
3.2 Material & Consumable Management
The system should allow adding and managing materials such as:
Substrates & Raw Materials (paper, foil, film, etc.)
Ink & Coatings
Printing Plates & Cylinders
Pre-owned Flexo Cylinders
Sleeves & Hubs
3.3 EDI Integration
An EDI (Electronic Data Interchange) interface must be provided to manage material procurement and stock updates. This should allow:
Automatic material availability checks
Real-time pricing and order updates
Integration with suppliers’ systems
4. Frontend Requirements
4.1 Calculation Module
The frontend should facilitate different types of calculations:
Detailed Cost Calculation
Granular breakdown based on machine configuration, material usage, and processing steps
Consideration of setup times, waste rates, and efficiency factors
Dynamic cost estimation based on real-time material and machine data
Quick Estimate Calculation
Fast pricing approximation using pre-defined formulas and average values
Ideal for quick customer inquiries
4.2 AI-Assisted Calculations & Recommendations
AI-powered predictive pricing based on historical data
Automated material recommendations based on job specifications
AI-driven optimization suggestions for machine and process configurations
4.3 User Management & Roles
Admin users should have full access to machine and material configuration
Operators and estimators should be able to perform calculations but not modify machine parameters
Role-based access control (RBAC) should be implemented
5. Dynamic Calculation Engine
Rule-based Calculation Models for different production scenarios
Python or Node.js-based Services for high-performance computation
Modular Calculation Components for flexibility
AI Integration for optimization and forecasting
Cache Mechanism to speed up repeated calculations
6. Production Planning System Integration
A production planning tool should be integrated for workflow optimization. Potential solutions include:
Prinect Production Manager (Heidelberg) – Ideal for print shops, offering JDF integration
CERM MIS – Print industry-specific ERP with estimation and job tracking
Hybrid Software CLOUDFLOW – Advanced automation for packaging and label printing
PrintVis (Microsoft Dynamics NAV/365) – Fully integrated print ERP solution
7. ERP & Xentral Integration
For seamless workflow, the system should:
Send calculated quotes to Xentral ERP for order processing
Transfer job specifications and material requirements to the ERP
Support EDI-based supplier management for procurement
Enable XML/JDF-based communication with production systems
8. Long-term Maintenance & Scalability
This project is intended as a long-term solution with ongoing maintenance, updates, and feature enhancements. Considerations include:
Scalable Architecture to allow future integrations and system growth
Automated Testing & CI/CD Pipeline for stable releases
Security Best Practices for data protection and compliance
Documentation & API Standards for easy collaboration and system extension
9. Additional Considerations
Multi-language support for international users
Cloud-based vs. On-premise hosting options
Scalability for future modules (e.g., automated imposition, AI-based pricing recommendations)
Security & Data Privacy (role-based permissions, audit logs, GDPR compliance)
This document outlines the fundamental requirements, but further refinement is needed based on specific workflows and user needs.