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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]
Critics of the concept dismiss Industry 4.0 as a marketing strategy. They suggest that although revolutionary changes are identifiable in distinct sectors, there is no systemic change so far. In addition, the pace of recognition of Industry 4.0 and policy transition varies across countries; the definition of Industry 4.0 is not harmonised.
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]
A Technology Readiness Level Calculator was developed by the United States Air Force. [6] This tool is a standard set of questions implemented in Microsoft Excel that produces a graphical display of the TRLs achieved.
The manufacturing readiness level (MRL) is a measure to assess the maturity of manufacturing readiness, similar to how technology readiness levels (TRL) are used for technology readiness. They can be used in general industry assessments, [ 1 ] or for more specific application in assessing capabilities of possible suppliers.
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 ...
It is a similar concept to industry 4.0, applied to value chain. The proponents of Service 4.0 claim that it is a major opportunity for service companies to make a leap forward in terms of efficiency and effectiveness, and an opportunity for service users to discover and benefit from new features, impossible to be delivered before this disruption.