Digitalization, process automation and AI-supported optimization for foundries by GRIPS Industrial IT Solutions

Digitalization, Process Automation and AI-Supported Optimization for Foundries

foundry|365 is a foundry-specific application for charge calculation, cupola furnace, induction furnace and casting process automation, KPI/OEE reporting and AI-supported optimization based on

meltshop|365
Features

Shared meltshop|365 platform capabilities.

foundry|365 uses the proven meltshop|365 platform architecture and extends it with foundry-specific process automation and metallurgical functionality.

WEB

Web-based Architecture

Browser-based user interfaces for production, metallurgy, quality and management.

KPI

KPI / OEE

Real-time dashboards for availability, productivity, quality and energy consumption.

TR

Traceability

Complete traceability for heats, ladles, molds, materials and quality results.

ERP

ERP / LIMS Integration

Interfaces to ERP, laboratory systems, OPC UA and industrial automation systems.

REP

Reporting

Production reports, quality reports, energy reports and management KPIs.

AI

Hybrid Digital Twins

Combination of metallurgy, process models and AI-supported optimization.

System

Industrial IT architecture based on meltshop|365.

Web-based architecture for cloud, on-premises or hybrid industrial environments.

SQL

SQL Server / Oracle

Central production database for process tracking, traceability, quality management, reporting and KPI analytics.

WEB

Web Clients

Responsive browser-based clients without local desktop installation.

OPC

OPC UA Connectivity

Integration with PLCs, automation systems, scales, laboratory devices and sensors.

ProcessVars

Industrial middleware and application framework.

ProcessVars provides communication middleware, process variable management and industrial web application functionality used by meltshop|365 and foundry|365.

OPC UA / OPC ClassicIndustrial communication and PLC connectivity
Process VariablesCentral variable management and historical tracking
C# ScriptingAutomation logic and calculations
Alarm & NotificationsEmail and popup notifications for process events
Web ApplicationsBrowser-based industrial production applications
Platform

One system for production, quality and continuous improvement.

foundry|365 is built for foundries that want to replace isolated tools, legacy visualization systems and manual Excel calculations with an integrated production platform.

Central data model

Orders, heats, batches, ladles, molds, materials, analyses, equipment and process events in one consistent database.

System integration

ERP, LIMS, PLC, OPC UA, scale systems, lab devices, energy meters and reporting platforms can be connected.

Web technology

Responsive browser-based user interfaces for production, metallurgy, quality, maintenance and management.

Process Coverage

From charging to casting — built around real foundry workflows.

The platform supports cupola, induction and duplex operations as well as downstream metallurgical treatment, pouring, quality documentation and traceability.

Raw Materials
Charge Calculation
Cupola / IF
Treatment
Pouring
Quality
AI-supported optimization

Hybrid digital twins for practical metallurgical decisions.

foundry|365 combines metallurgical know-how, physical models and machine learning. The goal is not AI as a black box, but decision support that operators and metallurgists can trust.

1

Collect and structure data

Production events, material data, analyses, temperatures, energy, delays and quality results.

2

Model the process route

Mass balance, yield, temperature loss, chemistry correction, treatment and pouring constraints.

3

Optimize decisions

Recommend material mix, alloy corrections, treatment windows and quality-relevant process actions.

Typical optimization targets

Raw material costScrap, returns, pig iron, alloys, inoculants and carburizers
Energy consumptionMelting energy, holding strategy, route losses and delays
Quality stabilityChemistry targets, Mg treatment, inoculation, nodularity and defect prevention
TraceabilityHeat, batch, ladle, mold, material and lab result traceability
OEE and KPIsAvailability, productivity, quality, route performance and downtime causes
Process automation

Automation for charge calculation, cupola, induction furnace and casting processes.

foundry|365 is not only a documentation system. The platform is designed to actively guide, automate and optimize foundry workflows — from raw material selection to pouring and ERP feedback.

01

Charge calculation automation

Automatic calculation of scrap, returns, alloys, inoculants and carburizers based on target chemistry, stock, yield, cost and production constraints.

02

Cupola furnace automation

Support for charge layers, coke rate, additions, tapping, temperature, chemistry, energy and operational deviations in cupola operation.

03

Induction furnace automation

Guidance for charging, melting, correction, holding, tapping and energy-related process decisions in induction furnace operation.

04

Casting process automation

Digital workflows for ladles, molds, pouring sequence, treatment windows, traceability, quality release and production feedback.

Solutions

Specialized solutions for modern foundry operations.

foundry|365 combines foundry MES functionality, process automation and AI-supported optimization for melting and casting operations.

MES

Foundry MES

Production tracking, traceability, KPI/OEE reporting, quality documentation and real-time process transparency.

CC

Charge Calculation Software

Automated charge optimization for scrap, pig iron, returns, alloys and inoculants with chemistry and cost constraints.

CF

Cupola Furnace Automation

Digital support for cupola furnace operation including coke rate, tapping, temperature and chemistry control.

IF

Induction Furnace Optimization

AI-supported melting optimization, holding strategy and energy efficiency for induction furnace operations.

CP

Casting Process Automation

Digital workflows for treatment, pouring sequence, ladle handling, traceability and quality release.

AI

Hybrid Digital Twins

Combination of metallurgical process models, AI and production data for robust process prediction and optimization.

Modules

Modular scope — from first quick wins to complete foundry digitalization.

01

Master Data

Materials, grades, target analyses, recipes, furnaces, ladles, molds, equipment and tolerances.

02

Charge Calculation

Cost-optimized batch calculation with chemistry, stock, yield, process and production constraints.

03

Melting Operations

Cupola, induction furnace and duplex route support with process tracking and operator guidance.

04

Treatment & Pouring

Inoculation, magnesium treatment, ladle handling, pouring documentation and thermal windows.

05

Quality & LIMS

Target analysis, sample management, lab integration, quality decisions and release workflows.

06

Reporting & KPI

OEE, energy, material consumption, deviations, quality costs and management dashboards.

Implementation

Start focused. Scale step by step.

foundry|365 can be introduced as a focused modernization project — for example charge calculation and reporting — and later extended into a complete foundry execution and optimization platform.

Cloud, on-premises or hybrid

Deployment options aligned with production IT, security and availability requirements.

Modernization of legacy systems

Replace old servers, PowerBuilder applications, isolated databases and manual Excel-based workflows.

Industrial IT experience

Based on GRIPS experience in production IT, process automation and metallurgy-driven optimization.

Next step

Discuss your foundry modernization potential in 30 minutes.

We review your process route, existing systems, pain points and the most realistic starting point for measurable savings.

FAQ

Frequently asked questions about foundry digitalization.

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What is a Foundry MES?

A Foundry MES system connects production, metallurgy, quality, traceability, KPI/OEE reporting and process automation in one integrated platform.

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How does AI support foundry operations?

AI can support charge calculation, temperature prediction, chemistry correction, energy optimization and quality stabilization.

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What are hybrid digital twins?

Hybrid digital twins combine metallurgical process models with AI and production data to improve prediction accuracy and operational decisions.