IoT being built into the product design, manufacturers adopting a more service-centric business model and 3D-printing reaching the tipping point of realising business benefits are three game-changing trends that ANTONY BOURNE at IFS outlines for 2018.
By the end of 2018 over 50 percent of manufacturers will be building IoT technology into the design phase of their products
When you think “IoT”, is your first thought newly affordable, available sensors being added to products after they’ve been manufactured? If it is, well I believe 2018 will change that perception as IoT takes a decisive step forward in its evolution. If we think of IoT as like a product’s nervous system, 2018 will see it grow from picking up signals at the periphery to being the brain of the product, constantly sending, receiving, growing and gathering information, from the centre of the product throughout its lifetime, in the process enabling new services and revenue streams. Manufacturing is one of the markets most heavily impacted by IoT today. According to Global Market Insights, IoT in the manufacturing market was valued at over US$ 20 billion in 2016 and will grow at more than 20 percent (CAGR estimate) from 2017 to 2024. Current IoT investments that are unique to the manufacturing environment are taking place in three major initiatives:
· Smart manufacturing to increase production output, product quality, or operations and workforce safety as well as lower resource consumption
· Connected products to impact product performance, including collecting detailed information on products in the field, remote diagnostics and remote maintenance
· Connected supply chains to increase visibility and coordination in the supply chain, tracking assets or inventory for more efficient supply chain execution
We will see IoT being included as a part of the design process in all three of these IoT initiatives. Manufacturers are realising that by engineering IoT technology into products and equipment already in the design process, they will be able monitor not only the equipment’s performance to predict when it needs repair, but also how and when it is being used—which provides game-changing competitive advantages!
By the end of 2018 more than 50 percent of manufacturers will be building IoT technology into their products from day one—already thinking forward in the design phase and asking themselves what services and revenue this product can generate throughout its lifetime.
In fact, where will our revenue be coming from in the next five years?’ It’s a good question. And it leads us to my next key prediction.
Servitisation speeds ahead: by 2020 most manufacturers will earn over half of their revenue from services
With the manufacturing industry becoming more and more commoditised, the need for companies to differentiate themselves is key to survival and profitability. We now see that a large number of manufacturers are shifting to a more service-centric business model—the buzz word is “servitisation”.
Servitisation is a way for a manufacturer to add capabilities to enhance its overall offering in addition to the product itself. One famous example is Apple, which did this a few years ago when it had gained the majority of market share with the iPod and introduced iTunes to increase loyalty, differentiate itself, and generate more revenue. You may think that it will never apply to your business, but companies are now reaping the benefits of servitisation across many different sub-segments. For example, Philips provides Schiphol airport outside Amsterdam with “lighting as a service”, which means that Schiphol pays for the light it uses, while Philips remains the owner of all fixtures and installations. Philips and its partner Cofely will be jointly responsible for the performance and durability of the system, and ultimately its re-use and recycling at end of life. This has resulted in a 50 percent reduction in electricity consumption without having to buy a lamp!
I see this development among IFS’s customers as well. For global furniture manufacturer Nowy Styl Group, servitisation has been crucial to its growth. In 2007, it announced “for us, chairs are not enough”, starting a transformation from pure manufacturer to world-class office interior consulting company. Another example is a customer that manufactures cleaning products and started to offer delivery and service dosing systems. The company understood that choosing the right cleaning products was just part of its customers’ main objective, i.e. keeping its premises hygienic. Applying the products in the most effective way, choosing the right accessories, establishing the right routines— all these too were crucial to keeping premises clean.
Both these customers realised that with technology accelerating as fast as it is, no matter how beautifully designed a chair, or how effective a cleaning product, today’s luxury products turn into tomorrow’s commodities faster than ever, pulling prices down with them. With servitisation, manufacturers escape the corrosion of commodification. Expert services built on years of experience provide a kind of value customers will always pay for, regardless of technology trends.
According to the IFS Digital Change Survey conducted by the research and publishing company Raconteur, 68 percent of manufacturing companies claim that servitisation is either “well-established and is already paying dividends” or “in progress and is receiving appropriate executive attention and support”. However, almost one in three manufacturing companies is still to derive value from servitisation. These are missing out on revenue streams and new ways to develop their offerings. To be successful in their response to customer needs and increasing demands, manufacturers must look to new business models to compress time to market, taking an idea through from design to a saleable item as quickly as possible.
New technology like IoT adds an additional layer to servitisation. With sensors detecting when your product or equipment needs service, this data can trigger an automated service action that will realise significant benefits to make your service organisation more effective. This type of automated predictive maintenance will become more and more common as it is a natural next step after implementing IoT to optimise service efforts.
By 2019 the hype around 3D printing will be over, and real benefits blooming
My third prediction is that 3D printing, just like IoT, will enter a new, more mature phase. No matter how big the ‘wow’ factor is when we first see it, apart from smaller-scale manufacturing production like hearing aids and jewelry, 3D printing has so far failed to live up to its full potential. All this could change in 2018.
We are seeing a couple of developments that point in that direction. The first one is the improved scalability of 3D printing solutions. A new generation of 3D printing companies is moving into manufacturing traditionally dominated by injection-molding manufacturers, with new, faster, better connected automated systems that reduce some of the time-consuming pre- and post-processing that has been such an obstacle to wide-scale uptake. One company, Stratasys, for example, has collaborated on a new printer, the Demonstrator, that combines three printers into a stack system—each printer able to communicate to its neighbors in real time. The new printer is highly scalable, meaning it can significantly increase production capacity, printing from 1,500–2,000 components a day. This means that you can achieve an economy of scale to bring costs down, which will be an important catalyst for the success of the 3D printing technology.
The aviation industry is pioneering 3D printing technology today, and the manufacturing industry can learn from that. One successful example is the new GE turboprop ATP Engine, which was 35 percent 3D printed, taking it down from 855 components to 12 and contributing toward the engine being lighter, more compact, and delivering a 15 percent lower fuel burn and 10 percent higher cruise power compared with competitors’ offerings.
The expanded capacity and reduction in pre- and post-processing that new, highly innovative mid-size 3D printing companies are bringing to the field, means that in 2018, we will see manufacturing companies joining in with A&D, and flying high with new 3D printing capabilities.
* Antony Bourne, Global Industry Director of Industrial and High-tech Manufacturing at IFS, outlines for 2018.
Huawei Mate 20 unveils ‘higher intelligence’
The new Mate 20 series, launching in South Africa today, includes a 7.2″ handset, and promises improved AI.
Huawei Consumer Business Group today launches the Huawei Mate 20 Series in South Africa.
The phones are powered by Huawei’s densest and highest performing system on chip (SoC) to date, the Kirin 980. Manufactured with the 7nm process, incorporating the Cortex-A76-based CPU and Mali-G76 GPU, the SoC offers improved performance and, according to Huawei, “an unprecedented smooth user experience”.
The new 40W Huawei SuperCharge, 15W Huawei Wireless Quick Charge, and large batteries work in tandem to provide users with improved battery life. A Matrix Camera System includes a Leica Ultra Wide Angle Lens that lets users see both wider and closer, with a new macro distance capability. The camera system adopts a Four-Point Design that gives the device a distinct visual identity.
The Mate 20 Series is available in 6.53-inch, 6.39-inch and 7.2-inch sizes, across four devices: Huawei Mate 20, Mate 20 Pro, Mate 20 X and Porsche Design Huawei Mate 20 RS. They ship with the customisable Android P-based EMUI 9 operating system.
“Smartphones are an important entrance to the digital world,” said Richard Yu, CEO of Huawei Consumer BG, at the global launch in London last week. “The Huawei Mate 20 Series is designed to be the best ‘mate’ of consumers, accompanying and empowering them to enjoy a richer, more fulfilled life with their higher intelligence, unparalleled battery lives and powerful camera performance.”
The SoC fits 6.9 billion transistors within a die the size of a fingernail. Compared to Kirin 970, the latest chipset is equipped with a CPU that is claimed to be 75 percent more powerful, a GPU that is 46 percent more powerful and an NPU (neural processing unit) that is 226 percent more powerful. The efficiency of the components has also been elevated: the CPU is claimed to be 58 percent more efficient, the GPU 178 percent more efficient, and the NPU 182 percent more efficient. The Kirin 980 is the world’s first commercial SoC to use the Cortex-A76-based cores.
Huawei has designed a three-tier architecture that consists of two ultra-large cores, two large cores and four small cores. This allows the CPU to allocate the optimal amount of resources to heavy, medium and light tasks for greater efficiency, improving the performance of the SoC while enhancing battery life. The Kirin 980 is also the industry’s first SoC to be equipped with Dual-NPU, giving it higher On-Device AI processing capability to support AI applications.
Read more about the Mate 20 Pro’s connectivity, battery and camera on the next page.
How Quantum computing will change … everything?
Research labs, government agencies (NASA) and tech giants like Microsoft, IBM and Google are all focused on developing quantum theories first put forward in the 1970s. What’s more, a growing start-up quantum computing ecosystem is attracting hundreds of millions of investor dollars. Given this scenario, Forrester believes it is time for IT leaders to pay attention.
“We expect CIOs in life sciences, energy, defence, and manufacturing to see a deluge of hype from vendors and the media in the coming months,” says Forrester’s Brian Hopkins, VP, principal analyst serving CIOs and lead author of a report: A First Look at Quantum Computing. “Financial services, supply-chain, and healthcare firms will feel some of this as well. We see a market emerging, media interest on the rise, and client interest trickling in. It’s time for CIOs to take notice.”
The Forrester report gives some practical applications for quantum computing which helps contextualise its potential:
- Security could massively benefit from quantum computing. Factoring very large integers could break RSA-encrypted data, but could also be used to protect systems against malicious attempts.
- Supply chain managers could use quantum computing to gather and act on price information using minute-by-minute fluctuations in supply and demand
- Robotics engineers could determine the best parameters to use in deep-learning models that recognise and react to objects in computer vision
- Quantum computing could be used to discover revolutionary new molecules making use of the petabytes of data that studies are now producing. This would significantly benefit many organisations in the material and life sciences verticals – particularly those trying to create more cost-effective electric car batteries which still depend on expensive and rare materials.
Continue reading to find out how Quantum computing differs.