The need for industries to be ready for the changing times and innovative technologies is creating space for issues like 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.
Certain crises that arise in the industry are unavoidable and are a hurdle to succeed. Over time, advancements and developments to answer to these problems have seen the peaked, and are evidently getting established. Finding solutions through the new emerging technologies for increasing productivity has become a prerequisite to stay competitive.
Industrial Internet of Things or IIoT, the buzz behind the manufacturing industries has revolutionized the way we look into problems. Given the fact that most of the industries are gathering data, knowingly or unknowingly, with the IoT systems, their utility to gain productivity is possible gaining competitiveness. Let’s throw some light on how to enhance its complete application.
Even though some industries have inculcated the technology of IIoT, the productivity is not up to expectation. All the money that is invested on building connectivity may seem futile if one cannot make sense of the data collected. We have always been speaking about generating a data lake. Well, IIoT is not just that. In an industry, there are a hundreds of thousands of devices hitting the data on to the servers in various forms like time series data, ordinal, image and point cloud, text, serialization – all on different time frames, from different sources and of different types on to the same system!
Collecting, cleaning and organizing this entire data set is by itself a big task, for a team of data scientists. According to a survey by CrowdFlower, data scientists spend 79% of their time on low-value tasks like collecting, cleaning and organizing data, and only 13% of their time mining the data and refining algorithms. When we reverse the percentiles of operations, we can solely claim that IIoT boosts the productivity of the industry.
‘Sandvik’, is a global industry, manufacturing the tools that are required for metal cutting operations used in CNC Lathe machines. The IoT Solution collects, computes the data and analyses it from different embedded sensors across the shop floor, thereby monitoring all aspect of performance. It also helps in identifying any loopholes in the supply chain or even manufacturing. This is analyzed and recommendations for optimizing the manufacturing process is received. Thereby, creating a predictive maintenance schedule designed for helping in avoiding unscheduled shutdowns.
Lastly, this solution is integrated with data from CRM system including meta data from shop floor system and machining system. This process of sending data to CRM system, thereby enabling decision and feedback for predicting when to change or even order a tool. Given this kind of process and data, is it not real productivity, which is reality to any manufacturer?
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 industries. Not just on the manufacturing point, these companies are also on in building autonomous vehicles.
All in all, the idea of Industrial IoT is a boon to any manufacturer and it has to be seen as one. In a nutshell, gathering all the data and making sense of it and getting a prediction about tool changings, to avoid unnecessary shutting downs, monitoring the whole manufacturing process digitally and economically, obviously, helps in increasing the Productivity of an industry.