We streamline your manufacturing operations with Google Cloud partner expertise and Google MDE services.
Flexibility & Adaptability
Google MDE platform is a comprehensive technological platform for the manufacturing industry. It is a set of technologies and solutions, both on the edge and in the cloud, prepared to lift manufacturing companies over the steep technological entry point required to begin building data-driven IT systems.
Maximizing Overall Equipment Effectiveness (OEE)
Its construction is based on years of experience deploying data platform solutions for industrial partners. The MDE platform constitutes a boilerplate system that saves millions in investment that Google has already made, providing Smart Manufacturing Data Solutions.
Modernized IT infrastructure
It constitutes the superior architecture of an industrial, cloud-based, data-driven system that becomes the foundation of industrial companies' IT landscapes. The Manufacturing Data Engine platform enables a compelling set of industrial solutions with distinct ROI.
Increased agility
Implementing MDE is key to accelerating time-to-market and reducing costs. By optimizing machine performance, minimizing defects, and reducing downtime, MDE significantly boosts production efficiency. Moreover, it enables precise production planning and scheduling, energy optimization, and efficient supply chain management. Through automation of numerous processes, including quality control, businesses gain a competitive edge.
Operational excellence
MDE platform combines advanced technology with ready-to-use features to optimize production processes. Built on the stable LITMUS and GCP technologies, it offers unmatched flexibility and scalability, integrating with over 300 industrial protocols. The platform's user-friendly interface and robust security, aligned with ISO standards, ensure seamless integration and reliable performance.
As a one-stop shop for Google and integrated solutions, we offer specialized advice tailored to your needs. Our team of certified engineers and Google Cloud experts, with over a decade of experience, provides custom solutions that drive digital transformation in logistics, production, and education sectors.
Our data engine for manufacturing leverages fast and reliable edge computing capabilities through Manufacturing Connect Edge (white-labeled Litmus Edge), which is deployed on-premises in factories. It integrates seamlessly with cloud computing, comprising a canonical data platform, edge computing management, Looker for business intelligence, and real-time data analytics, ensuring comprehensive and efficient manufacturing operations.
The Manufacturing Data Engine platform has been constructed to enable Digital Process Twin solutions across all company processes and operations.
Your one stop shop for enhanced operational efficiency and improved decision-making
Read out FAQ
A Manufacturing Data Engine (MDE) is a Google Cloud-based platform designed to efficiently collect, process, store, and analyze vast amounts of data generated throughout the manufacturing process.
Google Cloud’s Manufacturing Data Engine (MDE) is a powerful platform that leverages the breadth of Google Cloud services to streamline the entire lifecycle of manufacturing data. It’s more than just a data collection tool; it’s a comprehensive solution that enables manufacturers to extract maximum value from their data. The core of MDE is built on Google Cloud, using its services to deliver the highest quality at a reasonable price and, what’s most unique, a reasonable cost of entry for such an enterprise-class solution.
Google’s Manufacturing Data Engine (MDE) offers a comprehensive suite of services to help manufacturers effectively manage, analyse and use their data. At the highest level, the following core services can be defined:
A Digital Process Twin is a virtual representation of a manufacturing process that leverages real-time data and simulations to optimize operations. By offering a comprehensive view of the production process, it enables real-time monitoring and analysis, allowing for the identification of anomalies and the tracking of key performance indicators. Process optimization is another key benefit, as simulations can be used to test different parameters and identify bottlenecks. In terms of quality control, digital twins predict potential defects, determine root causes, and enable corrective actions to enhance product quality. The ability to conduct virtual experiments accelerates innovation and reduces risks associated with new processes or product variations. Ultimately, digital process twins empower manufacturers to achieve greater efficiency, productivity, and product quality while reducing costs and minimizing risks.
Edge computing offers significant benefits for manufacturing by processing data closer to where it is generated, reducing latency and enabling real-time decision-making. This local processing allows for faster response times, which is crucial for tasks like predictive maintenance, quality control, and automated processes. Edge computing also enhances reliability by minimizing dependence on cloud connectivity, ensuring that critical operations can continue even with intermittent internet access. Additionally, it reduces bandwidth usage and associated costs by filtering and processing data locally before sending only essential information to the cloud. Overall, edge computing improves efficiency, enhances operational continuity, and supports more responsive and adaptive manufacturing environments.
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