The Industrial Internet of Things: Why you need to get up to speed fast

internet_of_things

Start planning now to reap the many benefits of connected manufacturing. There’s been a lot of noise over the last two years around the “Internet of Things,” or IoT.

However, more recently a subcategory of IoT, the Industrial Internet of Things (IIoT), has been getting a lot of well-deserved attention. This brings together many key technologies – including machine learning, big data, sensors, machine-to-machine (M2M) computing, and more – in an orchestrated fashion within manufacturing operations.

O’Reilly’s Data Science for Modern Manufacturing report lays out the fundamentals of the Industrial Internet—what it is, how government initiatives are promoting it, and how it’s being driven by big data and cloud technologies. It begins with the following statement:

“The world’s leading nations are standing at the precipice of the next great manufacturing revolution, and their success or failure at overhauling the way goods are produced will likely determine where they stand in the global economy for the next several decades.”

There are many benefits that the IIoT promises to deliver, like shorter production cycles, more timely responses to supplier orders, the ability to predict consumer shifts and optimise supply chains to meet new demands, and the ability to quickly retool for design changes.

But the IIoT also has the capacity to transform companies—and even countries—in several other ways, opening up a new era of economic growth and competitiveness.

At its best, the IIoT combines people, data, and intelligent machines to improve productivity, efficiency, and operations across the manufacturing sector.

Take for example, two aspects:

• Fuel efficiency: Fuel is typically the largest operating expense for any airline. Over the past 10 years, fuel costs have risen an average of 19 per cent per year.

By introducing big data analytics and more flexible production techniques, manufacturers stand a chance to boost their overall company productivity by as much as 30%.

• Predictive maintenance: Predictive maintenance helps identify equipment issues for early and proactive action, creating better functioning equipment that lowers overall emissions.

It can also result (in the example of GE) in saving up to 12% in scheduled repairs, reducing overall maintenance costs by up to 30%, and eliminating up to 70% of Connected manufacturing will not only create huge opportunities for growth, but it will bring change and upheaval to IT and operations teams.

There is no simple “cookbook” for implementing an effective IIoT strategy and infrastructure; however, there are some key things to bear in mind as you ready your organisation to embrace and reap the benefits from the IIoT:

• Creating and managing an IIoT infrastructure within an organisation requires a unique set of skills and knowledge that is incredibly difficult to find and will become increasingly in demand as this space grows.

• IT leaders and executives need to make sure they have the right mix of talent that understands how to collect, analyse, and react to data, and knows how to effectively put it to work.

• In the data science field, there is much more demand than available talent. This will only become more exaggerated over time. Thus, it’s important to also look for data integration, IoT, and big data solutions that are intuitive and easy to deploy and adopt by those who may not be full-fledged data scientists.

• Businesses will need to look for people with the ability to not only design a product, but to also rapidly re-calibrate both the processes and pace of an agile manufacturing cycle.

The business benefits that the IIoT promises will far outweigh the challenges that may need to be overcome in order to get there.