Simplifying the complex world of manufacturing
Boost efficiency and competitiveness through seamless data flow, intelligent analytics, and software-defined production management.
The only person who knows the control system code is about to retire.
Teams are working on identical applications in different environments.
Large amounts of data are being collected, but silos prevent it from being used effectively.
Developers avoid operational technology tools.
What is it about?
Intelligent, connected, and scalable technologies are driving the evolution of industry. With software-defined solutions, production can be modernized and streamlined by leveraging modular edge computing, system integration, and real-time data processing.
As operations shift from device-centric models to software-defined solutions, flexibility, agility, and continuous learning also become essential for people. Change management plays a crucial role here – it helps build a culture where new technologies are genuinely adopted.
Gofore’s tailored Software Defined Manufacturing solutions enable the effective use of automation, data, and analytics in developing production environments. When combined with Gofore’s strong expertise in change management, organisations can achieve holistic and sustainable transformation.
Integration and management
Integrated Operational Technology (OT) and Information Technology (IT) enable encrypted and scalable data flow from the production line to the cloud. With remote management features and control panels, decisions can be made from anywhere.
IT/OT convergence
Open standards and a unified infrastructure support process transparency and enhance operational efficiency and agility.
Artificial intelligence and analytics
Cloud-based analytics and local AI enable data utilization and predictive capabilities. Operational analytics can optimize performance and resource use, supporting continuous improvement.
Digital Twin and quality control
Digital Twin technology enables visualization of the production process and data-driven decision-making. AI-powered quality control helps detect defects early and ensures product compliance before delivery.
Production lines and processes can be modified through software without heavy hardware or structural changes.
New products or components can be brought into production in days instead of weeks or months – a simple software update is enough, with no need for costly physical modifications.
By transferring control logic, machines, and processes into software, dependency on individual suppliers and large investments is reduced.
Production can be expanded using existing equipment, new machines can be integrated without vendor lock-in, and both CapEx and OpEx costs can be significantly reduced.
Data is collected consistently across the entire production environment (IT + OT), enabling real-time visibility and optimisation.
Production bottlenecks or spikes in energy consumption can be identified immediately, allowing improvements in quality and throughput while reducing waste and downtime.
