In this fifth article on the Industrial Internet of Things, Alan Griffiths of Cambashi discusses how IIoT is transforming industry.
I described in earlier articles how Industrial IoT involves a wide range of technologies, from semiconductors to cloud computing and artificial intelligence.
This month, I will explain how manufacturers can take advantage of this technology to make their processes more efficient and use the digital technology of IoT to transform their businesses and industries.
The key point is that potential opportunities for Industrial IoT include not only internal processes, but also customer and supplier relationships.
Building the business case
Manufacturers are defining and prioritising IoT projects in exactly the same way as they would treat any new technology. ‘It can be done’ doesn’t mean ‘it should be done’ – the proposer needs to build a business case.
IoT projects can offer whole new business models – for example, product-as-a-service (PaaS) – so the right people need to be involved to assess opportunities and develop ideas to fit their organisation’s priorities, timescales, budgets and culture.
For example, to introduce its ‘Sigma Air Utility operator model’, with pricing based on the consumed quantity of compressed air, Kaeser Compressors needed to build instrumented, connected machines. If the machines fail, the revenue stops.
So, as with all ‘as-a-service’ business models, there is commercial pressure to build reliable machines and minimise maintenance downtime. This approach needs broad involvement in decision-making.
This article first appeared in the October issue of The Manufacturer magazine. To subscribe, please click here.
Existing processes that gather requirements and define plans for projects of this type may not be sufficient – transformation may be needed, as highlighted by the apocryphal quote attributed to Henry Ford, “My customers would have asked for faster horses”.
However, what counts as transformational can depend on your point-of-view. For example, a new (IoT) remote-access system which allowed authorised process engineers to login to their factory production lines triggered the comment, “It changed my life” from one of the process engineers.
This individual had previously struggled to accept nightshift duties. For him, the change was transformational – even though the remote access needed is hardly new technology. Now, he volunteers for the night shift “…and if I can’t handle it online, I can usually guide the onsite team to fix problems.”
Analysis and control
Remote access is entry-level IoT. The next step is to feed asset data into analysis and control systems. Taking an IoT approach rather than a traditional machine-to-machine approach pays off here, because in addition to solving remote and multi-site communication questions (an internet connection is all that’s needed), it also simplifies connection to suitable analysis software hosted in the cloud.
The IoT approach supports many configurations; for example, if low-latency response must be guaranteed, an IoT system can use local (‘edge’) servers to cache the data.
The spectrum of capabilities was recently summarised by Brett Murphy of connectivity company Real-Time Innovations (RTI) as a range from monitoring at the simple end, to optimisation, where data from one or more assets can be analysed and the results used by an operator to adjust settings for better performance, up to autonomy, where the IoT software makes the adjustments automatically.
These monitoring, optimisation and autonomy examples are happening inside a manufacturer’s organisation, and may be local to the production groups. They can be transformational because they may open up the next step for lean manufacturing initiatives.
However, it can be easier to see transformational effects from projects that offer something new to customers. Field service and asset management are the low-hanging fruit.
Transforming field service and asset management at Elekta
Elekta, a Swedish manufacturer of medical technologies for treating cancer and brain disorders, uses connectivity and smart device technology to help differentiate their service business and expedite the way their products are being serviced.
Elekta partnered with PTC and GE Digital-owned ServiceMax to implement Connected Field Service. In the first year of the projectm Elekta carried out more than 600 preventative actions, which translated to uninterrupted treatments for more than 14,000 patients. For further details, see: www.bit.ly/2w7lX4t
Here, the transformation is due to the connectivity of the machines Elekta sells to its customers, rather than the connectivity of the machines it uses in its factories.
Another example where predictive maintenance is transforming the way products are sold to customers is Rolls- Royce, which introduced its TotalCare Services some 20 years ago. TotalCare employs a ‘power by the hour’ model in which customers pay for service based on engine flying hours.
Rolls-Royce power by the hour
Rolls-Royce has more than 13,000 engines for commercial aircraft in service around the world. For the past 20 years, it has offered customers comprehensive engine maintenance services that help keep aircraft available and efficient.
It is now using the Microsoft Azure platform and Industrial IoT Suite to better serve its customers by analysing increasing volumes of data from many different types of aircraft equipment.
Flight delays and disruptions cost the airline industry millions of dollars every year, so even a small reduction of ‘aircraft on ground’ time is costly. Fuel accounts for about 40% of airlines’ operating expenses, and just 1% optimisation of fuel consumption can save an airline millions of dollars annually.
Many factors affect how much fuel is consumed on a flight, including the flight path selected, weather, engine efficiency, and operational choices such as how much fuel to carry on each flight.
The company’s TotalCare services provide a ‘power by the hour’ model, where customers pay based on engine flying hours. The responsibility for engine reliability and maintenance rests with Rolls-Royce, which analyses engine data to manage engine maintenance and maximise aircraft availability.
According to Nick Farrant, Senior Vice President, Rolls-Royce, “The market and the customer need have become much broader as aircraft and engines have gotten more talkative and the scope of our services has increased. There are terabytes of data coming from large aircraft fleets, with gigabytes per hour – rather than kilobytes – to process and analyse.
“Just managing all this data is driving us into different areas, but it also gives us opportunities to solve different problems through machine learning and analytics. We can use data and insight in new ways to refine our customers’ operations to add more value to them and allow them to do more with less.”
Using Microsoft’s Azure IoT Suite, Rolls-Royce can collect and aggregate data from disparate and distributed sources at an unprecedented scale, and using Microsoft Cortana Intelligence Suite, Rolls-Royce can analyse a rich set of data and perform data modeling at scale to accurately detect operational anomalies and help customers plan relevant actions.
Rolls-Royce analyses engine data to manage customers’ engine maintenance and maximise aircraft availability. For security and availability reasons, ground-to-aircraft communications are independent of the Internet, using a specific Aircraft Communications Addressing and Reporting System (ACARS).
Since its introduction, the scope of TotalCare has grown in parallel with the growth in sensors-per-engine, and the capacity to analyse large volumes of data. Now, their Efficiency Insight service includes engine health monitoring, and tracks the health of thousands of engines operating worldwide.
The dramatic fall in sensor and communication costs has broadened the potential of these concepts to other industries. For example, food processing machinery makers Minerva Omega created the start-up DSC Nexus, which has brought IoT capabilities to machinery, including slicing machines found on retail meat and cheese counters.
For these relatively low-cost machines, sensing is achieved by monitoring the electric current/voltage profiles during start up, during no-load, and while cutting. So, a new power cord with an integrated sensor and Wi-Fi connectivity is all that’s needed to retrofit an existing machine. When the monitored electricity waveform demonstrates it’s time for a new blade, the appropriate operator or technician action can be scheduled.
Business goals and customer experience
While predictive maintenance takes centre stage in the industrial machinery sector, transformation is also happening in other sectors. The common theme is business justification based on achieving familiar goals:
- Reduce costs and improve operations
- Achieve competitive advantage by offering customers a better experience
- Open up new revenue streams.
The balance of these three goals varies, but they are always there, whether it’s connected car in automotive, cloud services for voice control of consumer goods, or smart metering and smart grid architectures in utilities.
In agriculture, use of equipment across the whole business network is changing, from the supply of agricultural machines to the operation of fleets in the field using GPS, automated harvest collection, and product identification and tracking.
In construction, the trend towards off-site manufacturing and on-site assembly is being taken to the next level in OPTIMISED, a €7m EU-funded H2020 Factory of the Future project focussed on advanced manufacturing.
According to the project coordinator, Graham Herries of Laing O’Rourke, one focus is the manufacturing of construction components in a controlled factory environment. This so-called ‘offsite fabrication/design for manufacturing and assembly’ utilises modularisation of the architectural design to enable easy, componentised installation at site, reducing construction time and health and safety risks.
OPTIMISED will synchronise the logistics with factory production, and planning tools will enable a reduction in costs, higher efficiency, expansion of throughput and open up new markets for various products.
In retail, IOT is helping deliver every supply chain manger’s dream of visibility and food security. Companies like Walmart, working with IBM, are taking the opportunity to integrate ‘blockchain’ technology for distributed ledgers to ensure tracking and food security throughout the supply network
IBM, blockchain and food safety
In August 2017, IBM announced that it is working with Dole, Nestlé, Unilever, Walmart and other major retailers to introduce blockchain technology and make the food supply chain safer.
Blockchain improves food traceability by providing trusted information on the origin and state of food and a trusted environment for all transactions. It allows all the participants in global food supply – growers, suppliers, processors, distributors, retailers, regulators and consumers – to have permissioned access to known and trusted information about the origin and state of food throughout the supply chain.
This enables food providers and other members of the ecosystem to quickly trace contaminated products to the source and ensure safe removal from shelves, thus preventing the spread of illnesses.
Marie Wieck, general manager, IBM Blockchain said: “Unlike any technology before it, blockchain is transforming the way like-minded organisations come together and enabling a new level of trust based on a single view of the truth.
“Our work with organisations across the food ecosystem, as well as IBM’s new platform, will further unleash the vast potential of this exciting technology, making it faster for organisations of all sizes and in all industries to move from concept to production to improve the way business gets done.”
As success stories such as these – from the ‘early adopters’ – become more common, the technology will be taken up by the majority in that industry, and it will become mainstream.
But there are still challenges that need to be overcome, and different possible futures for industry, which will be the subject of the next article.