Jun 9, 2020

Capgemini: top three use cases of AI in manufacturing

Technology
Artificial intelligence
AI
Manufacturing
Georgia Wilson
3 min
Artificial Intelligence robot
Manufacturing Global takes a look at the top three use cases of AI in manufacturing reported by Capgemini...

When it comes to the adoption of artificial intelligence (AI) in manufacturing Europe's currently leading the way with over half of its leading manufacturers using at least one form of AI in their operations. Within Europe Germany leads the region with 69% of its manufacturers implementing AI.

In a recent study conducted by Capgemini - AI in manufacturing operations - the organisations looked to determine the best starting point for manufacturers looking to adopt artificial intelligence in their operations, by looking at 22 uses cases of AI in manufacturing.

Capgemini identified three use cases that they believe to be the key areas for manufacturers to start. These included: intelligent maintenance; product quality inspection; and demand planning.

Intelligent machine maintenance

Defined as the ‘low hanging fruit’ by Capgemini, intelligent maintenance of machinery and equipment is the most common use of AI in manufacturing. When applied to operations the ROI can be significant. Not only does it minimise downtime, intelligent maintenance can also reduce maintenance costs and increase productivity. With good quality data and the expertise to analyse the data, this use of the technology is relatively easy to implement.

Leading manufacturers using this technology: General Motors and Volvo

Product quality inspection

By combining AI with analysis capabilities another way organisations are harnessing this technology is to help predict and prevent quality issues, via in-line visual inspections that can capture trends.

With the increased availability of high resolution cameras and powerful image recognition technology the cost of real time in-line inspection has drastically reduced.

This technology allows manufacturers to effectively tackle stringent regulatory environments particularly with regulations relating to product specifications and compliance.

Leading manufacturers using this technology: Audi and BMW

Demand planning

Today, organisations are harnessing machine learning capabilities to predict changes in consumer demand and behaviours. This enables manufacturers to make the necessary adjustments to production schedules and the procurement of raw materials. As a result organisations are benefiting from better forecasting yields several, better client service and inventory reduction.

Leading manufacturers using this technology: Danone Group

What makes these use cases the ideal starting point for manufacturers

Capgemini reports that intelligent maintenance; product quality inspection; and demand planning all have an optimal combination of several characteristics which make them the ideal starting point for manufacturers these characteristics include:

  • Clear business value and benefits
  • Relatively easy to implement
  • Having the availability of data
  • The availability of AI know-how and/or existing standardised solutions
  • The opportunity to add features to increase visibility and explainability for clearer and better decision making

“AI in manufacturing is a game-changer,” commented Capgemini, “It has the potential to transform performance across the breadth and depth of manufacturing operations. However, the massive potential of this new Industrial 4.0 era will only be realised if manufacturers really focus their efforts on where AI can add most value and then drive the solutions to scale.”

For more information on manufacturing topics - please take a look at the latest edition of Manufacturing Global.

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Jun 17, 2021

Siemens: Providing the First Industrial 5G Router

Siemens
5G
IIoT
Data
3 min
Siemens’ first industrial 5G router, the Scalancer MUM856-1, is now available and will revolutionise the concept of remote control in industry

Across a number of industry sectors, there’s a growing need for both local wireless connectivity and remote access to machines and plants. In both of these cases, communication is, more often than not, over a long distance. Public wireless data networks can be used to enable this connectivity, both nationally and internationally, which makes the new 5G network mainframe an absolutely vital element of remote access and remote servicing solutions as we move into the interconnected age. 

 

Siemens Enables 5G IIoT

The eagerly awaited Scalance MUM856-1, Siemens’ very first industrial 5G router, is officially available to organisations. The device has the ability to connect all local industrial applications to the public 5G, 4G (LTE), and 3G (UMTS) mobile wireless networks ─ allowing companies to embrace the long-awaited Industrial Internet of Things (IIoT). 

Siemens presents its first industrial 5G router.
Siemens presents the Scalance MUM856-1.

The router can be used to remotely monitor and service plants, machines, as well as control elements and other industrial devices via a public 5G network ─ flexibly and with high data rates. Something that has been in incredibly high demand after being teased by the leading network providers for years.

 

Scalance MUM856-1 at a Glance

 

  • Scalance MUM856-1 connects local industrial applications to public 5G, 4G, and 3G mobile wireless networks
  • The router supports future-oriented applications such as remote access via public 5G networks or the connection of mobile devices such as automated guided vehicles in industry
  • A robust version in IP65 housing for use outside the control cabinet
  • Prototypes of Siemens 5G infrastructure for private networks already in use at several sites

 

5G Now

“To ensure the powerful connection of Ethernet-based subnetworks and automation devices, the Scalance MUM856-1 supports Release 15 of the 5G standard. The device offers high bandwidths of up to 1000 Mbps for the downlink and up to 500 Mbps for the uplink – providing high data rates for data-intensive applications such as the remote implementation of firmware updates. Thanks to IPv6 support, the devices can also be implemented in modern communication networks.

 

Various security functions are included to monitor data traffic and protect against unauthorised access: for example, an integrated firewall and authentication of communication devices and encryption of data transmission via VPN. If there is no available 5G network, the device switches automatically to 4G or 3G networks. The first release version of the router has an EU radio license; other versions with different licenses are in preparation. With the Sinema Remote Connect management platform for VPN connections, users can access remote plants or machines easily and securely – even if they are integrated in other networks. The software also offers easy management and autoconfiguration of the devices,” Siemens said. 

 

Preparing for a 5G-oriented Future

Siemens has announced that the new router can also be integrated into private 5G networks. This means that the Scalance MUM856-1 is, essentially, future-proofed when it comes to 5G adaptability; it supports future-oriented applications, including ‘mobile robots in manufacturing, autonomous vehicles in logistics or augmented reality applications for service technicians.’ 

 

And, for use on sites where conditions are a little harsher, Siemens has given the router robust IP65 housing ─ it’s “dust tight”, waterproof, and immersion-proofed.

 

The first release version of the router has an EU radio license; other versions with different licenses are in preparation. “With the Sinema Remote Connect management platform for VPN connections, users can access remote plants or machines easily and securely – even if they are integrated in other networks. The software also offers easy management and auto-configuration of the devices,” Siemens added.

 

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