May 16, 2020

From shop floor to top floor: embedded analytics in manufacturing

embedded analytics
operational KPIs
financial KPIs
5 min
From shop floor to top floor: embedded analytics in manufacturing
Analysing a manufacturing plants performance is not a new concept. Most manufacturing companies have at least some sort of LCD screen on the shop floor...

Analysing a manufacturing plant’s performance is not a new concept. Most manufacturing companies have at least some sort of LCD screen on the shop floor reporting actual versus goal production metrics to keep everyone on track.

While this is tremendously helpful for the production process, it’s really only one piece of the analytics puzzle. Manufacturers should be implementing a more comprehensive view to gain an advantage over their competitors.

Now more than ever, manufacturers need vertical visibility – from the shop floor to the top floor – to understand not only how their manufacturing plants are performing from an operational perspective, but also to understand the implications their performance has on the organisation’s financial picture. The primary way of achieving this transparency throughout the organisation is to embed analytics at every level.

The shop floor

People working at each level of a manufacturing company have different roles – and therefore, different analytics needs.

First, we start at the shop floor, which is usually comprised of line workers trying to meet daily production targets set by management. Most of these workers don’t need to delve deep into the data; they just need to quickly gauge how they’re performing against key performance indicators (KPIs). That’s why we see large, centrally located LCD screens installed on many factory floors today. They let everyone on the shop floor easily look at the metrics and immediately gauge how they’re performing in relation to their production targets. In effect, this enables shop floor workers to self-manage their performance and adjust to production changes in real time.

But some workers on the shop floor need to go beyond viewing these high-level KPIs. Unit managers are one example: these employees are responsible for monitoring line workers. While they, too, can review the LCD screens to gain a general understanding of their production line’s daily status, they may also need to view individualised analytics (e.g., production reports) that allow them to react and manage the production line in real time.

To meet end users’ needs, analytics at the shop floor level also need to be mobile-friendly. Analytics embedded in an iPad or other portable device enables easy viewing while workers are walking around the shop floor, allowing unit managers to make proactive decisions to improve production efficiencies or avoid production line downtime.

Depending on the complexity of the production line, some plants also have engineering experts working on the shop floor. These experts are doing self-service analysis at the machine level in order to maximise overall machine performance. Engineering experts like these could benefit from purpose-built analytics solutions, which collect data from multiple machines and production lines. These tools give users a clearer picture of where efficiencies are (and are not) occurring across their value chain in real time.

With this information in hand, they can better respond to events in near-real time, reducing both production inefficiencies and downtime. For larger manufacturers, reducing inefficiencies by just one percent can equate to millions or tens of millions of dollars in cost savings.

The plant manager

Sandwiched between the shop floor and the top floor is the plant manager, who is responsible for a manufacturing plant’s entire production process, from when raw materials enter the plant to when the product exits the plant for distribution. The plant manager needs to know what is happening throughout the entire production process in real time – and that requires monitoring analytics from all of the machines, people, and processes that constitute an organisation’s production process.

A plant manager wants to see operational KPIs related to how the plant is performing, such as:

  • Am I meeting forecasted production? (their most pressing need)
  • Where are my production line inefficiencies? With people, processes, or machines?
  • What do I need to change to get back on track?
  • How do I reduce or eliminate production line downtime?

Plant managers – more than anyone else – need to be able to dive deep into the analytics of their respective production processes in order to determine which methods, machines, or people need adjustment. They also need an easy way to communicate down to their unit managers and up to their managing director. Having some form of write-back functionality within their analytics suite will help them communicate any changes or status updates to their process stakeholders. With the ability to create and share real time customised analytics reports, plant managers will be able to get on the same page with their constituents instantly.

The top floor

A manufacturing company’s top floor is comprised of vice presidents of operations, directors of operations, and presidents. At this level in the organisation, employees want to view analytics at a higher level than a plant manager or shop floor employee. They have multiple plants and managers reporting into them, and typically they don’t have time to go too deep into the weeds of a particular plant’s operations.

Top floor managers are more focused on connecting operational KPIs with financial KPIs – e.g., forecasting, investing, and budget allocation – and correlating operational data with that of their company’s ERP system. These managers expect operations to move along in a certain fashion, and having the ability to analyse and visualise how their operations are running in comparison to their associated financial investments broadens their understanding and discussion of their organisation as a whole.

Although they may be more focused on the holistic view of their organisation, these managers still need to be able to customise their own reports and views through self-service analytics. The same form of write-back functionality that plant managers need should also be incorporated at the top floor level, since managers at this level need to respond to client and senior management needs in real time.

Ultimately, analytics can provide manufacturers essential information about how they can meet future demand – but the only way to gain such a complete and thorough view of operations is to embed analytics at every level.

Patrick Chartrand is a Solutions Strategy Analyst at Logi Analytics


Follow @ManufacturingGL and @NellWalkerMG

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Jun 17, 2021

Siemens: Providing the First Industrial 5G Router

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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