Market sense Three trends in digital transformation
Digital technology is one of the most vital segments that will change the way manufacturing takes place. Read on to find out the latest trends of this gigantic revolution.
The digital revolution is and will continue to disrupt numerous sectors including manufacturing. With the rise of contemporary technologies such as artificial intelligence, automation and robotics, additive technology, and human-machine interaction on a large scale, the dynamics of manufacturing is set to have a makeover. Digital-manufacturing technologies will transform the entire production process, unveil better strategies and come up with new, innovative solutions.
Three core trends in digital transformation will allow manufacturers to better understand and enhance their processes:
Industrial Internet of Things
The global Industrial Internet of Things (IIoT) market is predicted to reach 232.15 billion dollars by 2023, growing at a CAGR (Compound Annual Growth Rate) of around 8.06 % between 2018 and 2023, which is noted by market research company Zion Market Research. The huge potential of this market is evident through these numbers and there is no doubt that the application of IIoT in the manufacturing industry has revolutionised the sector.
Organisations are making use of intelligent, connected devices in their factories to monitor, collect, exchange, analyse and deliver insights in a quick and efficient manner. This helps them obtain real-time feedback on the happenings of the shop floor such as recognising defects or damaged goods. With the aid of this process, manufacturers can ensure increase in production, reduce down-time, cost as well as waste.
Smart AI and machine learning
Implementation of AI and machine learning in the manufacturing space has greatly improved working processes! Industrial robots are used on shop floors to quickly carry out monotonous and dangerous work with greater precision. The robots have to be plugged into factory network and systems to ensure a smooth production process along with better efficiency and increased production capacity. For instance, around the world, industrial robots have been heavily used in the automobile sector for ensuring high quality, customer satisfaction and greater efficiency in a shorter period of time.
In terms of machine learning, with the assistance of data statistics and analytics, the machine helps to spot the factors that will impact service and production quality, which enables the production manager to take appropriate measures in time. Digitalisation in smart factories leads to lower cost of production, reduced downtime and meeting customer demand more efficiently.
Companies generate a large amount of data but most of them fail to make use of this data for their own benefit. If operated correctly, information can be gathered from multiple data sources and machine learning models to reveal new techniques to optimise their production processes right from sourcing the raw materials to the sale of their finished products. Adding to this, advanced analytics can also assist manufacturers solve their current challenges and also make them aware of unprofitable production processes.
Digital transformation has made it possible to track, streamline a huge amount of data while at the same time increase profits, offer better productivity and reduce costs. This development will also be one of the core topics at the Automatica 2018 fair, the leading exhibition for smart automation and robotics. (19-22 June in Munich, Germany)
This article first appeared on www.maschinenmarkt.international.