IoE, Big Data and Industry 4.0
The global manufacturing industry is undergoing a major transformation, marked by the adoption of automated technologies, increased efficiency and enhanced product quality.
Overall, the industry is moving away from reactive measures and toward proactive ones. Leveraging modern technology, manufacturers can act in a predictive manner, ensuring operations remain optimized and effective for longer periods of time than ever before.
How are these technological developments changing the face of manufacturing as we know it? Allow me to explain...
The Internet of Energy
The Internet of Energy (IoE), a subset of the Internet of Things, offers an additional layer of intelligence that can run on top of regular Big Data and Industry 4.0 processes. The term IoE refers to the digitization of energy assets and infrastructure. IoE captures and analyses data transmitted from the smart grid as well as the circuit-level intake of devices across operations, creating a smart feedback loop (creating a more reliable and more resilient system of energy distribution while also enabling a frictionless and hugely profitable demand-response and demand-charge optimizations regimens) and granting decision makers new, granular insights into the health and integrity of every aspect their production environments.
In order to achieve this level of connectivity, every component within the operation must constantly communicate with the whole system. Ultimately, it’s really the communication structure that makes IoE what it is, with millions of sensors reporting live data up and down a chain of purpose-specific terminals, ensuring that relevant information is analyzed and intelligently acted on.
This framework can automate a great deal of human efforts and business processes, such that objectives are accomplished more quickly, more easily, more intelligently and with perfect transparency.
By monitoring energy intake and usage patterns at the site, zone, system, and device levels, a data-driven manufacturer is made aware of a slew of impact points previously unknown. These impact points can range from over-cycling machinery to faulty economizers, from off-hour energy waste or excessive phantom load consumption to overloading motor components, and from system asynchronicities to invisible sequence of operations errors, to human error.
GE Power, which produces roughly 30% of the world's electricity supply, reportedly reduced unplanned downtime by 5% using IoE technology. Moreover, GE Power reported a reduction in false positives by 75% and a decrease in maintenance costs by 25%. No matter how small or large your business, those numbers are significant and will quickly add up.
Industry 4.0 is the next logical step in the development of manufacturing technologies. Put simply, it’s the marriage of information technology and manufacturing operations. This means automation, advanced robotics and machine-to-machine communication join together to boost productivity and efficiency, ultimately lowering overhead and strengthening the bottom line.
But Industry 4.0 goes well beyond automation alone. The factory devices that make up the bulk of the Industry 4.0 ecosystem aren't just connected and communicative, they’re "intelligent." The equipment of the fourth industrial revolution use wireless sensors – either built-in or retrofitted – to capture, analyze and react to data from the environment surrounding them. This is where Big Data and Industry 4.0 synergize.
A 2015 report from Accenture on the Internet of Things for industry estimates that Big Data and Industry 4.0 could add as much as $14.2 trillion to the world economy by 2030 through its ability to improve productivity, reduce operating costs and enhance product quality.
These are just some of the benefits manufacturers can expect:
- Increased competitiveness: Manufacturers previously turned to outsourcing to keep labor costs down and remain competitive. Industry 4.0 not only keeps labor costs low – smart, automated processes require less human operators – but also improves the efficiency of the process as a whole. The end result is a nimbler, more competitive enterprise.
- Increased productivity: Around-the-clock automation and deep, granular insights into the entirety of the manufacturing process ensures greater productivity. Empowered by machine learning algorithms, your factors of production can run better, for longer, at a lower cost and with less downtime disruptions.
- Better record-keeping and archiving: A byproduct of capturing and cataloguing vast troves of data is that manufacturers will have access to all the necessary information for internal operations, regulatory compliance and consumer facing transparency efforts.
- Improved business structures and business relations management: Collateral data also presents a big opportunity. Manufacturers can sell the information outright to market research and analysis firms looking to bolster data sets and strengthen their findings. Or, they can leverage the information uncovered to restructure agreements with their suppliers.
With smart manufacturing increasingly allowing generalized equipment structures to serve hyper-specialized functions, pushing more production responsibilities higher up the supply chain makes sense for all parties. It’s an opportunity for suppliers to increase their market share and value adds, while removing some of the capital burdens from smaller, later stage manufacturers and allowing them to focus on their core offering.
With data now ubiquitous across the supply chain, there’s also added scrutiny. This is another opportunity for shrewd business people to repackage and sell their internally developed know-how for external purposes. For example, Walmart offers their suppliers help in keeping track of and curtailing carbon emissions and energy consumption.
Put simply, the monetization opportunities are increasing exponentially with the data.
IoE-empowered Industry 4.0
The vast achievements of the modern manufacturing plant – whether it's more automation, predictive maintenance, increased efficiency, or enhanced product quality – almost always trace back to one tiny component: the sensor.
With this piece of technology, manufacturers gain insight into operational processes that may have been previously understood, but are difficult to keep tabs on so long as nothing is majorly wrong. Drawing on the vast amount of data generated, wireless sensors enable smarter, more agile decision-making.
These sensors continuously collect and transmit granular data, which ultimately sheds light on the functionality of the larger system and allows for decision makers to identify opportunities for improvement. Whether it's detecting machine idling or issues like air leaks, sensors enable manufacturers to catch problems early on and correct them through maintenance, repairs or upgrades – before they impact productivity.
The ultimate goal, of course, is optimized production. Bringing together the benefits of the Internet of Energy, Big Data and Industry 4.0 ensures greater uptime. Planned and unplanned maintenance can occur on a predictive basis, ensuring that maintenance work will always and only be conducted when it is needed and at the time of least disruption to the operation.
Similarly, breakdowns can be made a thing of the past and the factory floor can be turned into a symphony of perfectly orchestrated movements. Assets of course will still need to be pulled offline for maintenance or decommissioning, but production will never halt.
Substandard machine performance too will be intelligently and methodically snuffed out in such a way that does not hamper ongoing operations. Whether through increased energy draw, elevated runtime temperatures or other anomalies, the Internet of Energy will be leaned on to identify and attend to under-performing assets. No malfunction, no matter how small, will go unnoticed.
In short, combining the forces of IoE, Big Data and Industry 4.0 will maximize ROI and optimize the efficiency of your manufacturing process. It's all about the smart, connected systems that respond to real-world conditions and developments. Bringing next-generation connectivity, synchronicity and intelligence to manufacturing operations is driving better processes, quicker fixes and higher quality products – and at a lower cost to boot.