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Smart manufacturing leverages big data analytics to optimize complex production processes and enhance supply chain management. [7] Big data analytics refers to a method for gathering and understanding large data sets in terms of what are known as the three V's, velocity, variety and volume.
The value created in Industry 4.0, can be relied upon electronic identification, in which the smart manufacturing require set technologies to be incorporated in the manufacturing process to thus be classified as in the development path of Industry 4.0 and no longer digitisation. [35]
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]
Society 5.0, also known as the Super Smart Society, is a concept for a future society introduced by the Japanese government in 2016. [1] The plan aims to integrate technologies such as artificial intelligence into the existing society.
In 2016, MESA released the first formal definition of Smart Manufacturing in its paper "Smart Manufacturing – The Landscape Explained", which explains the relations and scope of initiatives including the Industrial Internet of Things, and Industrie 4.0. [7] In 2017, MESA signed an MOU with the Industrial Internet Consortium (IIC).
IEC Common Data Dictionary (abbreviated: IEC CDD) is a metadata registry providing product classification and formalized product descriptions that can be used in the context of smart manufacturing and Industrie 4.0. Overview page of IEC Common Data Dictionary, providing the classification tree for one domain and the description of the selected ...
This is a valuable data source for Industry 4.0 to continuously improve the product design in the “NDE for Industry 4.0” process. [ 10 ] [ 18 ] Third, immersive training experiences, remote operation, intelligence augmentation, and data automation can enhance the NDE value proposition in terms of inspector safety and human performance in ...
The pharmaceutical manufacturing industry has been slow to adopt IIoT advances because of security concerns such as these. [60] One of the difficulties in providing security solutions in IIoT applications is the fragmented nature of the hardware. [ 61 ]