IT in Manufacturing


The IoT opportunity for Manufacturing IT

May 2016 IT in Manufacturing

Manufacturing companies are expected to prosper in an environment where very little is controllable. New markets based around informed consumers who want choice and unique personalised products are emerging. As a result of globalisation, these markets are now being categorised by consumer preferences and demographics and not by geography. These micro vertical markets are challenging for industrial scale capital-intensive manufacturers who are not geared to manufacture personalised products and services. In this environment, the Internet of Things (IoT) is both an opportunity and a threat.

So what skills within a business are necessary to embrace the IoT opportunity? A good plant control engineer will be able to explain exactly how to optimise production efficiency and increase plant throughput. The same engineer would find it much harder to explain how to track and predict customer behaviour in order to forecast and plan personalised production runs. Marketing now becomes central to the discussion. This has implications on both plant operations and organisational design, and IT is well positioned to drive some of this change.

Many technology driven initiatives (like IoT) within companies are destined to fail. Industrial process automation and control has evolved to a high level of maturity. On the face of it, control engineers are used to working with sensors that generate vast amounts of data, which can be stored and analysed within a plant environment. The associated storage systems have matured and are well established in the form of industrial scada and so on. As a result, theoretically most plants can be optimally controlled in line with production schedules. Preventative maintenance can also be optimised using smart sensors that monitor running equipment in the field, and so on. The Industrial Internet of Things is arguably in place and now evolving from a focus on operational efficiency to exploiting opportunities outside the business.

Exploring the IoT opportunity

McKinsey[1] describes two broad categories in which IoT enabled applications are emerging:

1. Information and analytics – refers to those applications that track behaviours, achieve real-time situational awareness and assist with human decision making by analysing both structured and unstructured data.

2. Automation and control – refers to those systems that optimise processes and resources by closing the loop between sensors and actuators that control physical parameters.

Exploiting the wider IoT opportunity will require a company to respond more effectively to things that they cannot directly control. Arguably, most of the future IoT opportunity is to be found outside of the organisational boundary. Implementing proprietary (‘industrial’) islands of information and closed systems runs counter to the way the Internet actually works. Web innovation that has the potential to disrupt industries is all about collaboration and open standards that are driven by communities who freely contribute ideas, talent and even funding. Companies now need to consider hybrid business models[2].

The ‘real’ IoT is a dynamic ‘network of networks’ that constantly evolves by making connections between the physical world and databases using web technologies. Analysing this data leads to new insights that in turn leads to new solutions for customers which in turn result in more data and new networks. It is believed that with enough data consumer behaviour can be modelled and more accurately predicted. This dynamic and changing environment is quite different from a controllable plant. Business leaders need to recognise that exploiting this opportunity will need a new approach. This is why in IT, for example, the shift is towards continuous deployment of rapidly evolving software, with a new combined DevOps group replacing the previously separate development and operations teams. This is why the CMO (chief marketing officer) is today often responsible for a sizeable portion of the actual IT spend in many companies.

Arguably much of the innovation around the IoT is not going to be led by system vendors but by hobbyists and inventors who push the boundaries and find new software and uses for embedded microprocessors hooked up to the web. The vendors that succeed in this space will either be large enough to own or exploit the platform, or small enough to be able to prosper in a micro niche. With IoT the investment can be small (or even crowd-funded). Intelligent connected devices in the hands of thousands of consumers will ultimately fuel demand for new specialised product or services. Think about how mobile phones are now challenging the health and fitness industry to offer highly personalised products and services, all based on the rich dataset already collected by cellphones.

McKinsey predicts that these changes in information patterns will have major implications for organisational structures as well as the way decisions are made, operations are managed and processes are conceived[1].

Leaders of future successful manufacturing companies will be acutely aware of these shifts. They will carefully watch developments in areas such as IoT, Big Data and analytics to find new areas for innovation. They will take a strategic approach towards developing new in-house capabilities that are used to work with uncertainty and who understand the ‘networks of networks’. They know that they have to become resilient to radical change and thrive in an environment where control is just an illusion.

[1] McKinsey Quarterly - The Internet of Things March 2010. http://tinyurl.com/jz5grbt

[2] Accenture Technology – Driving Unconventional Growth through the Industrial Internet of Things. http://tinyurl.com/hosbv4a

Gavin Halse is a chemical process engineer who has been involved in the manufacturing sector since mid-1980. He founded a software business in 1999 which grew to develop specialised applications for mining, energy and process manufacturing in several countries. Gavin is most interested in the effective use of IT in industrial environments and now consults part time to manufacturing and software companies around the effective use of IT to achieve business results.

For more information contact Gavin Halse, Absolute Perspectives, +27 (0)83 274 7180, [email protected], www.absoluteperspectives.com





Share this article:
Share via emailShare via LinkedInPrint this page

Further reading:

Virtualising the control room to reshape building management systems
Schneider Electric South Africa IT in Manufacturing
Schneider Electric explains how virtualising building management systems frees facilities teams from ageing hardware, delivers stronger cybersecurity and enables portfolio-wide control from a single interface.

Read more...
AI infrastructure solutions for data campus
Schneider Electric South Africa IT in Manufacturing
Schneider Electric and Motivair deliver more than $290 million in power and cooling infrastructure for TeraWulf’s AI-ready Lake Mariner data campus.

Read more...
Africa’s data centre evolution: AI, edge computing and new energy demands
IT in Manufacturing
With less than half a gigawatt of active white space capacity serving over a billion people, Africa’s data centre sector faces a stark gap that AI’s surging power and cooling demands are set to widen. Vertiv and Open Africa Data Centres unpack how modularity, edge computing and smarter energy strategies could change the equation.

Read more...
How data and AI are unlocking South Africa’s next mineral frontier
IT in Manufacturing
Data, AI and blockchain are reshaping how mining companies explore, extract and prove the provenance of resources, opening a new frontier for South Africa’s mining sector.

Read more...
Luna Rossa partners with Siemens for 38th America’s Cup
Siemens South Africa IT in Manufacturing
Siemens details how Luna Rossa is using digital engineering and simulation tools, from CAD to structural optimisation, to design a faster yacht for the 38th America’s Cup.

Read more...
AI is raising South Africa’s cybersecurity stakes
IT in Manufacturing
As AI accelerates both the sophistication and scale of cyber threats, South African organisations face significant gaps in cloud security, data governance and identity management that need to be addressed before AI capabilities are further embedded into business operations.

Read more...
How modern EAM is becoming the driver of productivity, resilience and sustainability in mines
Schneider Electric South Africa IT in Manufacturing
Modern enterprise asset management is turning maintenance from a routine function into a strategic priority, helping mines extend the life of ageing infrastructure while improving productivity and safety.

Read more...
Physical AI solution with potential to transform South African manufacturing
IT in Manufacturing
NTT DATA and Hyster-Yale Materials Handling have deployed physical AI in an industrial assembly environment, embedding intelligence into production workflows to improve quality assurance and cut deployment timelines significantly.

Read more...
AI has an energy problem but Africa has an opportunity
IT in Manufacturing
Africa’s abundant renewable energy resources and largely unbuilt infrastructure put it in a unique position to power the growth of AI data centres sustainably, provided energy solutions are designed to match the scale and flexibility that AI demands.

Read more...
Decoupling software from hardware for future-proofed process automation
Schneider Electric South Africa IT in Manufacturing
Schneider Electric explains why decoupling software from control hardware helps industrial operations modernise without disrupting production or replacing existing infrastructure.

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