Make Manufacturing Smarter with Big Data

3DEXPERIENCE CLOUD PLM TRENDS
Companies are opting for digitalisation across all departments: from finance to sales.

Companies are opting for digitalisation across all departments: from finance to sales.

Design and development teams have moved from hard production drawings to soft CAD models. Similarly, manufacturing organisations are striving to become smart.

Smart factories make use of smart machines, sensors and robotic platforms which help them to improve efficiency and speed up production processes. These factories are full of Industrial Internet of Things (IoT) instruments continuously generating a significant amount of data.

This data needs thorough analysis to extract high quality insights. But big data analytics can make these insights available in a fraction of the time, through systematic secure channels. This leads to improved manufacturing efficiency through process improvement.

Artificial Intelligence

Learn rapidly and independently from the data.

Artificial Intelligence (AI) enables organisations to learn from IIoT machinery data. AI identifies differences, patterns, recurrences, and other fine details from patterns and anomalies. This provides new insights in the data that otherwise could have gone unnoticed.

Blockchain in Manufacturing

Identify and fix problems before they become widespread.

Through the Manufacturing Blockchain, data is stored and distributed across network nodes to improve security and reduce the potential for error. Blockchain brings an extra level of transparency and control to the process of proactive maintenance.

Robotics

Automation through machine learning.

Bring automation to the shop floor with an effective combination of machine learning and artificial intelligence. Replacing operators with robots can help your organization to reduce the scope for human error and increase product quality across a variety of standards.

Condition Monitoring

Condition-based maintenance and monitoring.

The physical condition of machinery (vibration, temperature, etc.) is continuously monitored so that any deviation can be observed and pre-emptively responded to. This allows your organisation to plan preventive maintenance before permanent failure to ensure uninterrupted production.

Cyber Security

Secure your network to avoid data theft.

Manufacturing is the 3rd most targeted industry for data theft after the financial and governmental sectors. Smart factory elements like sensors are continuously sending data through wireless connection in real time.

Industrial IoT

Connect hardware and software via the internet.

Gartner predicts that there will be 20.4 billion IoT devices by 2020. These devices provide innovative ways to collaborate and automate. And IoT data can be used for artificial intelligence and machine learning (ML). IoT sensors allow organisations to monitor development cycles and manage inventories. They can help to accelerate your development cycle, improve product quality and elevate return on investment.

Final thoughts…

Enable access to the data you need to make the best decisions possible.

Smart manufacturing techniques make use of this data to help you transform your business. IIoT instruments send data that informs Artificial Intelligence and Machine Learning technologies. And the data received from IIoT instruments becomes the driving force for strategic decisions in manufacturing. This smart data chain provides a secure, decentralised, single source of truth throughout your manufacturing life cycle.

 

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