Every industry faces a revolution when new modus-operandi and robotization technology infuses. Industry 4.0 is such a revolution where the digital world entered the manual and monotonous workflows. It builds the process of industries towards value addition through simplified operations and better work management.
Understanding the Terms – One at a Time
One such concept in industrial revolution 4.0 is Smart Factory. The Smart Factory is a concept usually applied in manufacturing where one aims to manage big data through digitalization and usage of new-age ideas. A crucial part of this is the exchange and integration of information between the product line and the product itself. When your product carries self-explanatory instructions to each part of the assembly/production system, it means that the information is distribute and reaches the line without having a central head to monitor it continuously. Smart factory comprehensively is a concept that isn’t a far-fetched dream anymore.
Gone are the days when you would manually stand at each line and check the manufacturing process. Now, Robotization has taken over. With smart machines, also known as Robotic inputs, your model gets the data, and with technology-infused details, develops the product and forwards it to the next step automatically. Robotization leads to automation, and that’s where an industry reduces cost, minimizes time. The result is increase efficiency, production, and many time reduce cost with smarter products for end-users. One more advantage of why the world is heading towards robotization is the reduction in duplicate tasks.
What Hadoop is doing here, you might wonder!
It is a technology, precisely Apache software which is free for all. So basically, it is a framework that permits you to store big data in its distributed environment and processing where all your data is saved in parts and also replicated. New businesses and organizations will get their required needs with the help of Hadoop consulting services. When working in Hadoop, your information is always safe in forms that can be managed and interpreted easily. The HDFS (Hadoop Distributed File System) and Hadoop YARN are together a combination that works well in managing big data in all kinds of organizations where Data Is Key!
Is Robotization Right Fit In A Smart Factory?
Robotization isn’t only related to the inclusion of robots in your processing line. It also means that you try to automate the routine tasks with the aid of a machine. With technologies like Robotic Process Automation (RPA), you can automate most of your smart factory processes. From Finance to Marketing, from Production time management to information on the product, RPA can handle routine tasks while you can focus on high-value tasks.
For example, if there are tasks related to data entry into excel, if a person manually does it, errors and time are born to happen. When you include RPA, these errors are reduce to zero and the time took also reduces. Hence, you can focus on core operations while the robotization of functions will manage your other tasks and data.
If a manufacturing unit decides to go smart, the initial step is to include technology in every arena, from marketing and sales to operations and production. A smart factory will have so much data on every single step of manufacturing, that too, in varied forms. How do they store it? How will they process it? Also, How to use it for optimization? These are just a few questions that one can think about. With Hadoop, they solve all their critical queries.
1) How to Store Data?
With HDFS, Hadoop provides appropriate storage for all the big data of the smart factory. The data stored on different blocks, and one can even specify the size. It will also replicate your information on all the different blocks so that in case one block faces issues, the data is always safe. The size of your nodes also can change as a result of horizontal scaling. So, you can distribute your big data and yet save all of it.
2) How to Manage Data Type?
Hadoop provides you with an infrastructure where it divides all your data into categories. Some of your data might be a structure, for example, in tabular form, some might be semi-structured, and some completely unstructured, like videos and photos. Thus, you can write your data and read it whenever you wish to.
3) How to Manage and Interpret the Data?
With Hadoop, you get parallel procession which means multiple types of data processing at the same time. The technology MapReduce is utilize here by Hadoop, where the nodes work simultaneity, send a response to the master node, and a response is sent immediately. When you have a lot of data in Smart Factory, with the inclusion of Hadoop, that’s how you manage it.
Hadoop, Robotization and Smart Industry: How well is it Working?
With the inclusion of data management, distribution, and inference, Hadoop is working on the Big Data for the company. Robotization helps in the collection of the data systematically and in the smart process. With both of these in place, intelligent factories’ value addition truly makes it worth the investment.
They help the Smart factory as:
- Predictive analysis: Get insight into the operational data in real-time.
- Manufacturing with Data In Center: Maintain the operations with the help of data-driven insights
- SCM: Use data inference to form operational and tactical decisions
- Tracking: From demand planning to production, with these, you can even manage the monitoring and offer smart solutions
Be it defense, automobile, pharma, oil, and gas, or any other industry, Hadoop has brought automation into the reality of the existence of Smart Factory.