IT in Manufacturing


The Connected Enterprise

September 2016 IT in Manufacturing

Barry Elliott.
Barry Elliott.

With the emergence of the Internet of Things (IoT), a wealth of possibilities have emerged that, through greater connectivity between the plant floor and the enterprise, are revolutionising efficiencies of production.

Through greater industrial connectivity, we can make better decisions; expose inefficiencies in our production and spark collaboration, leading to better management and implementation of manufacturing and industrial processes.

For Africa to grow its competitiveness, its production needs to take advantage of the opportunities of the IoT to gear up for maximum efficiency. But what does this actually mean on an operational level, and how do we talk about this beyond mere conceptual idealism?

Walk the walk you talk: operationalising the Connected Enterprise

Let us consider our own story, as Rockwell Automation, and our own journey into the ‘Information Age’.

Since 2008, we have systematically implemented our own merging of internal enterprise and operations of over 20 production facilities across the world that manufacture our products – some 387 000 SKUs.

So what did we actually achieve?

• Too much capital tied up in inventory is a waste of resources and negatively impacts business performance by reducing an organisation’s ability to react fluidly to market changes and customer demand.

For Rockwell Automation, better connectivity of our enterprise and production floors has enabled us to reduce our inventory from 120 to 79 days. In so doing, we are more agile, leaner and far better equipped to respond to flexible market demands.

The financial impact of an inventory days reduction by a third is, huge, especially for an organisation as big as ours.

• Supplier availability maximises the efficiency of an organisation’s production flow. Having a more holistic, accurate and intelligent interface with our suppliers has increased on-time deliveries from 85% to 96%.

With live quality reporting, quality issues in the production chain can be isolated and actioned immediately, not after the fact in a month-end report.

Through this, we have improved product quality, as defect rates of parts per million, by 50%. In so doing, we have reduced waste, achieving faster time to market with enhanced agility and a greater product consistency.

• Perhaps most critically, all these processes comprising our Connected Enterprise have meant a decrease in necessary capital expenditure by 30%. This was not the result of corporate cost-cutting or any financial initiative; it was the natural result of a more responsive enterprise whose production and enterprise systems are in harmony.

The final result: a 4-5% increase in productivity annually! We are a far leaner organisation because of it.

This has been critical in Rockwell Automation maintaining its profit quality even in the particularly adverse market conditions of the global economy of the last several years.

So where do we start?

The key to operationalising the Connected Enterprise is to take a customer-centric approach that takes into account the processes, plant architecture, and operating and capital expenditure requirements, constraints and objectives – and recommend solutions accordingly.

Our advisory role, then, becomes critical in terms of optimising resources through intelligent technological implementations and greater operational connectivity.

It may not necessarily be about wholesale component upgrades, it might simply be the way the plant is configured and where the utilisation of existing technology is not as efficient as it could be.

How ready is sub-Saharan Africa for Connected Enterprise?

The data that plants receive from the multitude of connected devices showing up on our MES or ERP systems is in many cases still ‘raw’, in the sense that it needs to be interpreted and actioned into some kind of usable information that we can do something with. The role of ‘knowledge workers’ engaged in data analytics will need to grow and correspond with the uptake in enterprise connectivity of each organisation. Like every technological revolution, skill sets will need to be fostered, adapted and developed.

In southern Africa, we have very capable, technically skilled people. Is this pool of workers big enough? Probably not as big as it needs to be. It will certainly take time, and there is a need to ensure we have the best mechanisms in place that can develop and retain a group of knowledge workers and data analysts equipped for the requirements of Industry 4.0.

However, in the globalised economy in which we must compete, we cannot afford not to.

Conclusion

It is satisfying and encouraging to know that not only did Rockwell Automation have a vision of the industry of the future, but that we lived our vision through operationalising it.

The results speak for themselves.

For more information contact Michelle Junius, Rockwell Automation, +27 (0)11 654 9700, mjunius@ra.rockwell.com, www.rockwellautomation.co.za



Credit(s)



Share this article:
Share via emailShare via LinkedInPrint this page

Further reading:

OMRON simplifies safety verification for SA manufacturers
Omron Electronics IT in Manufacturing
OMRON’s NX Safety platform, Online Safety Functional Test Verification is a feature built into the Sysmac Studio engineering environment. This intuitive tool allows safety verification to be carried out digitally, with step-by-step guidance and full traceability, all from a single workstation.

Read more...
Range of CDUs to meet the rising demands of HPC and AI workloads
Schneider Electric South Africa IT in Manufacturing
Motivair by Schneider Electric has introduced two new coolant distribution units that are engineered to meet the rising thermal demands of HPC and AI workloads.

Read more...
Data centre design powers up for AI, digital twins and adaptive liquid cooling
IT in Manufacturing
The Vertiv Frontiers report, which draws on expertise from across the organisation, details the technology trends driving current and future data centre innovation, from powering up for AI, to digital twins, to adaptive liquid cooling.

Read more...
How digital infrastructure design choices will decide who wins in AI
Schneider Electric South Africa IT in Manufacturing
As AI drives continues to disrupt industries across the world, the race is no longer just about smarter models or better data. It’s about building infrastructure powerful enough to support innovation at scale.

Read more...
How quantum computing and AI are driving the next wave of cyber defence innovation
IT in Manufacturing
We are standing at the edge of a new cybersecurity frontier, shaped by quantum computing, AI and the ever-expanding IIoT. To stay ahead of increasingly sophisticated threats, organisations must embrace a new paradigm that is proactive, integrated and rooted in zero-trust architectures.

Read more...
2026: The Year of AI execution for South African businesses
IT in Manufacturing
As we start 2026, artificial intelligence in South Africa is entering a new era defined not by experimentation, but by execution. Across the region, the conversation is shifting from “how do we build AI?” to “how do we power, govern and scale it responsibly?”

Read more...
AIoT drives transformation in manufacturing and energy industries
IT in Manufacturing
AIoT, the convergence of artificial intelligence and the Internet of Things, is enhancing efficiency, security and decision making at manufacturing, industrial and energy companies worldwide

Read more...
Today’s advanced safety system is but the beginning
Schneider Electric South Africa IT in Manufacturing
Industrial safety systems have come a long way since the days of hardwired emergency shutdowns. Today, safety systems are not just barriers against risk; they are enablers of safer operations.

Read more...
Siemens brings the industrial metaverse to life
Siemens South Africa IT in Manufacturing
Siemens has announced a new software solution that builds Industrial metaverse environments at scale, empowering organisations to apply industrial AI, simulation and real-time physical data to make decisions virtually, at speed and at scale.

Read more...
Five key insights we gained about AI in 2025
IT in Manufacturing
As 2025 draws to a close, African businesses can look back on one of the most pivotal years in AI adoption to date as organisations tested, deployed and learned from AI at pace. Some thrived and others stumbled. But the lessons that emerged are clear.

Read more...









While every effort has been made to ensure the accuracy of the information contained herein, the publisher and its agents cannot be held responsible for any errors contained, or any loss incurred as a result. Articles published do not necessarily reflect the views of the publishers. The editor reserves the right to alter or cut copy. Articles submitted are deemed to have been cleared for publication. Advertisements and company contact details are published as provided by the advertiser. Technews Publishing (Pty) Ltd cannot be held responsible for the accuracy or veracity of supplied material.




© Technews Publishing (Pty) Ltd | All Rights Reserved