Open AccessBrief review of methods and techniques used in Learning Factories in the context of Industry 4.0
Author(s) -
Gabriela Neacşu,
Iulia Pascu,
Eduard Niţu,
Alin Gavriluţă
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1018/1/012022
Subject(s) - production (economics) , context (archaeology) , process (computing) , industry 4.0 , factory (object oriented programming) , industrial production , computer science , knowledge management , manufacturing engineering , engineering , engineering management , paleontology , macroeconomics , keynesian economics , programming language , economics , biology , embedded system , operating system
The rapid evolution of science and technology has forced the processes and systems of production, training and learning to adapt to innovation and the digital era of industrial technology. In the case of production processes and systems, innovation and digitalization refer to the transformation of production units into smart factories. In the case of training and learning processes and systems, innovation and digitalization lead to the creation of learning factories. Thus, this process involves the use of modern methods and techniques to develop innovative training, learning and production processes and systems. This paper is an analysis of recent studies and seeks to briefly present the evolution of industrial production processes and systems and Industry 4.0 but also the concept of learning factory. The paper also presents a review of the main methods and techniques used in innovative industrial training, learning and production processes and systems. Finally, some conclusions related to the use of these methods and techniques are summarized.