What Is a Smart Factory?: Benefits and Challenges
The Smart Factory stands up to conventional factories with a series of benefits and challenges, which bring the future of industries increasingly closer to present times.
Digital Transformation is making all sectors, and especially the industrial sector, join the fourth industrial revolution, more commonly known as industry 4.0.
It is with this objective that the Smart Factory has become so prevalent in our industry. A fact that brings great benefits to conventional factories, and whose goal is to bring technology and the future to a sector in which more and more advances are being made
Nonetheless, like any technological innovation, thesmart factory still faces certain challenges.
Challenges that IDEA Ingeniería is ready to overcome thanks to our Digital Transformation 4.0 service.
What are the benefits of a Smart Factory?
These types of factories bring with them certain benefits that go far beyond goods production, as processes include other functions, such as planning, supply chain logistics and product quality and development.
- It features high connectivity, thanks to sensors and IoT devices, which link people, machines and systems in real time.
- Routine robot tasks are handled automatically, thanks to AI learning.
- Plant employees hardly have to do any management tasks and decision-making.
- All this connectivity makes it possible to reduce processing times, greatly increasing efficiency at these factories.
Challenges the Smart Factory faces
Although the right technologies are now available for the creation of smart factories, and many companies are already enjoying their benefits, there are undoubtedly certain drawbacks, which rather pose a challenge to overcome.
- The amount of data that needs to be processed is very high. Not only because of the data itself, but also because it is necessary to have great specialists to analyse it, thus allowing processes to be optimised.
- The costs or investment involved are also large:
- New equipment.
- Potential losses due to production downtimes.
- Production slowdowns due to potential adjustments, until the most optimised process is achieved.
- Investment in engineering and development.
- Analysis of Big Data and storage systems and their procedures.
- Hiring of data analysis specialists.