German China India

Market Sense

Next Stop: Industry 4.0 – Three Trends for the Digital Transformation

| Author / Editor: Ahlam Rais / Ahlam Rais

Digital transformation has made it possible to track, streamline huge amount of data, at the same time increase profits, offer better productivity and reduce costs.
Digital transformation has made it possible to track, streamline huge amount of data, at the same time increase profits, offer better productivity and reduce costs. (Source: Deposit Photos)

Digital technology is one of the most vital segments that will change the way manufacturing takes place forever. 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:

1. Industrial Internet of Things

The global 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, states market research company Zion Market Research. The huge potential of this market is evident through these numbers and there is no doubt that application of IIoT in the manufacturing industry has revolutionized the sector.

The Next Industrial Revolution: Digitalisation Offer $1.4 Tillion Added Value in 2030

Study: Megatrend Digital Industry

The Next Industrial Revolution: Digitalisation Offer $1.4 Tillion Added Value in 2030

04/20/2016 - Germany – A global study by Oliver Wyman on "digital industry" found that Industry 4.0 offers enormous potential, and not only within production. Most of the value of digital industry will be realised outside of the production area. read...

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 to 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.

2. 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 more efficiently meeting customer demand.

How Laboratory Automation Tackles the Big Big Data Challenge

ACHEMA Trend Report

How Laboratory Automation Tackles the Big Big Data Challenge

04/07/2015 - Data makes the lab go round: Laboratory automation enables the handling and evaluation of thousands of samples. The result: data galore. The question is how to make good use of this information. read...

3. Data Analytics

Companies generate 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 optimize 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 huge amount of data, at the same time increase profits, offer better productivity and reduce costs. This development will also be one of the core topics at Automatica fair 2018, the leading exhibition for smart automation and robotics.

How to Make Your Planning Ready for Industry 4.0

Integrated Planning Solution with ProDOK NG

How to Make Your Planning Ready for Industry 4.0

The white paper explains how an integrated planning solution can be used to collect and manage engineering data in a standardized, integrated and reliable process and how you can use this to increase your productivity. more...

This article was first published in Maschinenmarkt International or twitter.

Comments are being loaded ....

Leave a comment

The comment is checked by an editor and will be released soon.

  1. Avatar
    Avatar
    Edited by at
    Edited by at
    1. Avatar
      Avatar
      Edited by at
      Edited by at

Comments are being loaded ....

Report comment

Kommentar Freigeben

Der untenstehende Text wird an den Kommentator gesendet, falls dieser eine Email-hinterlegt hat.

Freigabe entfernen

Der untenstehende Text wird an den Kommentator gesendet, falls dieser eine Email-hinterlegt hat.

copyright

This article is protected by copyright. You want to use it for your own purpose? Infos can be found under www.mycontentfactory.de (ID: 45286430 / Control & Automation)