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On 8 April 2013 at the Hannover Fair, the final report of the Working Group Industry 4.0 was presented. This working group was headed by Siegfried Dais, of Robert Bosch GmbH, and Henning Kagermann, of the German Academy of Science and Engineering. [70] As Industry 4.0 principles have been applied by companies, they have sometimes been rebranded.
There are three recognizable components of NDE 4.0. First, Industry 4.0 emerging digital technologies can be used to enhance NDE capabilities in what has been termed “Industry 4.0 for NDE”. Second, statistical analysis of NDE data provides insight into product performance and reliability.
Industrial big data refers to a large amount of diversified time series generated at a high speed by industrial equipment, [1] known as the Internet of things. [2] The term emerged in 2012 along with the concept of "Industry 4.0”, and refers to big data”, popular in information technology marketing, in that data created by industrial equipment might hold more potential business value. [3]
Work 4.0 (German: Arbeit 4.0) is the conceptual umbrella under which the future of work is discussed in Germany and, to some extent, within the European Union. [1] It describes how the world of work may change until 2030 [2] and beyond in response to the developments associated with Industry 4.0, including widespread digitalization. [3]
INFORMS Journal on Applied Analytics is a bimonthly peer-reviewed academic journal about operations research that was established in 1970 under the title Interfaces by The Institute of Management Sciences, now part of the Institute for Operations Research and the Management Sciences. The journal has a case-study style: it offers examples of how ...
Industrial artificial intelligence, or industrial AI, usually refers to the application of artificial intelligence to industry and business. Unlike general artificial intelligence which is a frontier research discipline to build computerized systems that perform tasks requiring human intelligence, industrial AI is more concerned with the application of such technologies to address industrial ...
Big data analytics allows an enterprise to use smart manufacturing to predict demand and the need for design changes rather than reacting to orders placed. [2] Some products have embedded sensors, which produce large amounts of data that can be used to understand consumer behavior and improve future versions of the product. [9] [10] [11]
AStA Advances in Statistical Analysis is a peer-reviewed mathematics journal published quarterly by Springer Science+Business Media and the German Statistical Society. It was established in 2007, and covers statistical theory , methods, methodological developments, as well as probability and mathematics applications.