We assemble a group of industry experts to explain how the Industrial Internet of Things is impacting the manufacturing sector and MRO procurement
The Industrial Internet of Things (IIoT), Industry 4.0
, the Fourth Industrial Revolution (4IR) – whichever name you use to describe use of digital connectivity in industry, experts all seem to believe that massive changes are on their way for manufacturers in the UK.
Research by Make UK, the Manufacturers’ Organisation (formerly EEF), showed that 96% of manufacturers believe 4IR will be about connectivity and communication and 99% felt it was about getting actionable insights from data.
“Most manufacturers are aware 4IR is happening and that they need to do something about it. But what they are actually doing about it varies widely,” says Martin Strutt, former Region Director at Make UK. “We’ve divided manufacturers’ adoption into three phases – conception, evolution and revolution. People in the conception phase are simply trying to work out what it is and what it might mean for their business.
“Those in the evolution phase are starting to connect processes and making improvements to the way their business operates,” he adds. “Finally, you have a small group of organisations that are right at the forefront of the revolution. They have embraced the technology and are investing heavily in it and as a result are finding new ways of doing business and earning money.”
So what can IIoT offer manufacturers and why is so much being written about it? “IIoT technology itself is just technology,” says Richard Jeffers, Director for Industrial Solutions at RS Components. “It is how and where we apply and integrate it with other capabilities that will make the compelling difference.
"Look for a problem you’ve traditionally been unable to solve, then see if IIoT can break the impasse"Richard Jeffers, Director for Industrial Solutions, RS Components
“Companies that get this right will be able to significantly improve a variety of aspects of their business from the actual manufacturing process to maintenance, repair and operations (MRO). To really get value from these emerging technologies look for a problem you’ve traditionally been unable to solve, then see if IIoT can break the impasse. These technologies can be harnessed to give you a previously unachievable solution” he adds.
Aerospace and defence
The idea of a gradual approach to IIoT is something that Sameer Savani, Head of Innovation at the aerospace and defence industry’s trade body, ADS Group, agrees with. “We recommend companies, particularly those without the ability to spend huge amounts of capital on new equipment, take a ‘test and learn’ approach,” he explains. “However, the challenge with this is to also have a plan for how you scale up if you find your tests are successful – the key is to think big, start small and scale fast.”
"The challenge with IIoT is to also have a plan for how you scale up if you find initial tests are successful – the key is to think big, start small and scale fast"Sameer Savani, Head of Innovation and Engineering, ADS Group
The aerospace sector is an area of manufacturing that has put most of its IIoT investment into data, says Martin Strutt. “Aerospace and defence companies have focused on big data collection from the manufacturing process,” he says. “These companies want to look at how they can improve efficiency in manufacturing through new working processes (using collaborative robots, for example) and monitor the life of components.”
Savani agrees about the importance of data, but feels that the industry has some way to go to achieve the full potential of IIoT. “I believe that the sector is pretty near the cutting edge of this technology, or at least several companies are, but no companies have the perfect operation where everything is working in harmony,” he says. “More and more data is now available to both the manufacturing and operations (MRO) side of the sector and the ability to collect data and analyse that it is increasing all the time.
“The ideal scenario is that as you collect ever more data it is shared with multiple stakeholders across the business, from designers and engineers through to operators and procurement,” he says. “This effectively gives you a closed feedback loop and should improve the business as a whole. This is the nirvana that organisations are looking for.”
Savani believes that the very nature of the products that aerospace and defence companies create and the customers that they serve is delaying innovation.
“One of the biggest challenges in our sector is that the lifecycle of new products is relatively slow compared to faster sectors such as consumer goods, which can hinder changes in processes,” says Savani. “In addition, the ability of companies to implement change will vary greatly from one organisation to another – the biggest companies have the money to invest in new technology, and can take a long-term strategic view, but it can be hard to push through new processes across the company.
“Smaller firms may worry about the investment needed to introduce new technology, but they can be more agile and adapt to change quicker.”
OEMs, many of which serve the automotive industry, face similar challenges as does the aerospace sector. For the former, products have a relatively long lifecycle – typically seven years – while for the latter, they are even longer. This can inhibit the adoption of new ways of working, such as those IIoT could bring. Although Industry 4.0 is prominent in Germany, home of many of the world’s automotive giants, OEMs have not developed IIoT technology to its full potential. Alongside an underinvestment in technology, there has been focus on creating bespoke applications suited to their complex supply chain and customer base, meaning a huge number of different systems that would need integrating into a single consolidated IIoT solution – an unattractive challenge to take on. As a result, IIoT remains behind where might be expected for OEMs in the UK and Europe.
Strutt believes that where OEMS have started to gain some benefits from IIoT is through improvements to their supply chain. “For OEMs in the automotive sector particularly, the big focus in terms of IIoT will be their supply chain,” he explains. “Automotive companies want to have better linkage with tier one suppliers so that they can monitor production in their suppliers’ factories, to know about any delays, and to introduce automatic electronic ordering from one robotic assembly cell to a supplier’s robotic assembly cell.”
Free from the constraints of long-lifecycle products, manufacturers in the process industry (producing paper, packaging, plastics) are in a strong position to take advantage of IIoT.
These industries have a real opportunity to forge ahead with IIoT and set an example for other sectors. In packaging, for example, the number of raw materials that go into each product is low. At the same time, within the overall process there are opportunities to make significant, rapid changes around things such as RPA (Robotic Process Automation), digital labour, artificial intelligence and data analytics that will dramatically improve your operation, costs and overall margins.
Next steps for your organisation
Embarking on a connected journey can feel overwhelming, but there are simple steps that you can take to introduce and develop IIoT within your organisation.
1) Remember that you don’t have to be the expert
“For engineers, getting as much knowledge as possible is key. They should use forums and communities such as DesignSpark, as well as trade magazines and LinkedIn,” says Simon Chabriere, Offer Management Director for Telemecanique Sensors, a global player in sensors and sensor-related technology.
2) Start small
“Start small,” continues Chabriere. “You can always collect data on another area later on. Focus on the objective. IIoT projects can go on for years if the objective hasn’t been fixed. Business value from data analysis can be gained in a reasonably short amount of time.”
3) Run some tests
“The rapid rate of technology evolution can be off-putting,” acknowledges Chabriere. “At one stage, you do have to jump in.” However, you don’t have to jump in straightaway. “Testing and developing is an inexpensive way of dipping your toe in the water – and forums help here as you can share experiences and insight,” he says.
4) Which assets would benefit most from IIoT?
“We always recommend starting with a reliability and maintenance criticality assessment to ascertain which assets are the most critical and cost the most when they fail,” says David O’Reilly, former President of Fluke Digital Systems, a world leader in the manufacture, distribution and service of electronic test tools, biomedical equipment and networking solutions.
Jeffers agrees: “My main advice to those considering implementing IIoT would be to really think about where it’s needed. Don’t jump in unless there’s a real benefit and consider the criticality of the data.”
"Really think about where IIoT is needed. Don’t jump in unless there’s a real benefit"Richard Jeffers, Director for Industrial Solutions, RS Components
5) What do you already have data for?
O’Reilly also recommends looking at where data already exists in your organisation and building on that: “What data would be useful to add, such as vibration or thermal imaging, temperature or pressure – key monitoring areas to help in the move from a reactive or preventative to a predictive maintenance programme?”
6) Keep the context in mind
“Measure in context,” is O’Reilly’s key message. “It’s one thing knowing something is vibrating, but unless there is proper namesake data for the asset, it won’t be useful. A strong data set can lead to big wins. Be sure to document those as a proof of concept to help convince other stakeholders of the benefits.
“Context is the most important factor,” he adds. “You need to amalgamate disparate data sources in a contextual manner to make it actionable. Record what happened and what was done to correct it. Integrate historic data if it’s available and if it isn’t, start to record better data now. React to unplanned events but record them. In doing this, the data will become more contextual and allow for the building of models to achieve predictive insights.”
7) Answer fundamental questions
Based on this advice, be sure that you can answer some fundamental questions before you get started:
• What problem are you trying to solve?
• What is the value to the organisation of solving that problem? Is it worth solving the problem?
• How are you going to get the data?
• How are you going to manage the data? For example, what analytics are you going to do? What are you going to send to the cloud and what are you going to do with it once it gets there?
For some organisations there may be similar moves to entirely new business models, while for others the process will be gradual. “I’m often asked ‘how can we do Industry 4.0?’ says Jeffers. “There is still a lot of confusion about what it is and to get started you need to be able to answer a few fundamental questions:
- What problem are you trying to solve?
- What is the value to the organisation of solving that problem / is it worth solving the problem?
- How are you going to get the data?
- How are you going to manage the data? Ie what analytics are you going to do at the edge? What are you going to send to the cloud and what are you going to do with it once it gets there?
It’s clear that all of the experts are in broad agreement – while IIoT adoption will not happen uniformly across manufacturing and its various sub-sectors, it is going to happen. The next five to ten years are likely to see significant changes across all industries.