The industry 4.0 is becoming a requirement for the market of tomorrow. Customers often expect the orders are processed quickly and easily and also that the products are highly personalized.
The future needs and wishes of the clients will only be possible to satisfy through the merging both the production area and the digital data of the company. This will provide the necessary information to workers and customers to deliver a good product and service and in the same way to optimize the manufacturing process.
The industry 4.0 allows adjusting the digitalization to the needs of each of the companies and not the other way around. Some of the example can be the planning and simulation of intelligent factories as well as a selection and deployment of technologies, methods and tools aimed at the digitalization.
In order to implement the industry 4.0 in a traditional company, some of the methods to take into account include:
- Analysis of the processes and models of business of the company.
- Seminars and awareness of workers and managers to the industry 4.0.
- Definition of demands and selection of systems, including evaluation and cost effectiveness.
- Documentation of Results.
Once the Industry 4.0 has been implemented, the company will have a new way of working, as the digitization will force them to make use of new technologies. The most widely used technologies of the Industry 4.0 are the following:
- IIoT (Industrial Internet of things)- Use of the IoT technologies industrial processes.
- Ciberphysic Systems: All those devices that integrate capabilities of processing, storage and communication.
- Additive manufacturing, 3D Printing: Allows the hyper personalization and not more expensive process because it allows to manufacture products without penalizing the cost.
- Big Data, Data Mining and Data Analytics: Analysis of all the information stored to be able to access valuable information about the behaviour of the processes in order to prevent problems, plan resources etc. In short, to anticipate future events automatically and proactively.
- Artificial Intelligence: Tools and technologies capable of processing in real-time large volumes of information drawn from Big Data technologies.
- Robotics Collaborative (Cobot): New generation of industrial robots that cooperate with humans. They are flexible, accessible and relatively easy to program.
- Virtual Reality and Augmented Reality: A Tool for optimization of designs, process automation, control of the manufacture, training of workers and maintenance work and follow-up.
Fraunhofer IPA. (2017). Methods and tools for industrie 4.0. Retrieved from http://www.ipa.fraunhofer.de/en/methods_tools.html
Gradiant. (2017). Seis tecnologías para explicar la industria 4.0. Retrieved from https://www.gradiant.org/noticia/tecnologias-industria-4-0/