The need for businesses to be ready for the changing times and innovative technologies is creating space for issues such as Operational Efficiencies, Productivity and another related process to be brought into the mainstream. The main intent of an industry is to create solutions for customer challenges, and thereby grow as a outcome.
Specific crises that arise in the industry are unavoidable and are a barrier to succeed. Over time, advancements and developments to answer these problems have observed the peak, and are evidently getting established. Discovering solutions through the new emerging technologies for increasing productivity has become a prerequisite to stay competitive.
Industrial Internet of Items or IIoT, the buzz behind the manufacturing industries has revolutionized the way we look into issues. Given the fact that most of the industries are gathering data, knowingly or unknowingly, with the IoT techniques, their utility to gain productivity is potentially gaining competitiveness.
Although some industries have inculcated the tech of IIoT, the productivity is not up to expectation. All the money that is invested on building connectivity may appear futile if you cannot make sense of the data accumulated.
We have always been speaking about generating a data lake. Well, IIoT is not just that. In an industry, there are hundreds of thousands of devices hitting the data on to the servers in various forms such as time series data, ordinal, image and point cloud, text, serialization — all on different time frames, from different sources and of different types available to the same system!
Collecting, cleaning and organizing this whole data set is itself a big task, for a team of data scientists. According to a survey by CrowdFlower, data scientists spend 79 percent of their time on low-value tasks such as collecting, cleaning and organizing data, and just 13% of their time mining the data and refining algorithms. When we undo the percentiles of operations, we can solely claim that IIoT boosts the growth of the industry.
Analysis and Suggestions
‘Sandvik’, is a global industry, manufacturing the tools that are necessary for metal cutting operations used in CNC Lathe machines. The IoT Solution collects, assesses the data and analyses it from different embedded sensors across the store floor, thereby monitoring all aspects of performance.
In addition, it also aids in identifying any loopholes in the supply chain as well as manufacturing. This is analyzed and recommendations for optimizing the manufacturing process is received. Thereby, creating a predictive maintenance program designed for helping in avoiding unscheduled shutdowns.
Finally, this solution is integrated with data from CRM system such as meta data from shop floor programs and machining systems. This practice of sending data to CRM system, thereby enabling decision and feedback for predicting when to change or even order a tool.
Given this type of process and data, is it not real growth, which is reality to any manufacturer?
Gathering Data and Making Sense
Recently the executives from Ford and Mercedes established the deliberate applications of IIoT and how that has led to the technical advancements in their respective businesses. Not just about the manufacturing point, these companies are also in constructing autonomous vehicles.
All in all, the idea of Industrial IoT is a boon to any manufacturer and it has to be viewed as one. Ultimately, gathering all the data and making sense of it and getting a prediction about instrument changings, to avoid unnecessary shutting downs, monitoring the entire manufacturing process digitally and economically, of course, assists in increasing the Productivity of an industry.