Open AccessIntelligent manufacturing in the context of industry 4.0: A case study of siemens industry
Author(s) -
V. Kishorre Annanth,
M. Abinash,
Lokavarapu Bhaskara Rao
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1969/1/012019
Subject(s) - manufacturing engineering , context (archaeology) , industry 4.0 , siemens , manufacturing , advanced manufacturing , process development execution system , pace , digital manufacturing , computer integrated manufacturing , integrated computer aided manufacturing , manufacturing execution system , production (economics) , engineering , intelligent agent , computer science , industrial engineering , artificial intelligence , business , embedded system , marketing , electrical engineering , geodesy , economics , biology , paleontology , macroeconomics , geography
At present, the methods by which products are designed and manufactured are advancing at a rapid pace just before our eyes. The contemporary period known as Industry 4.0 is realizing an evolution from manual to digital operations and it has great importance to manufacturers throughout the world. In the context of Industry 4.0, intelligent manufacturing is a paradigm enabled for the integration of smart sensors and controls. Traditional manufacturers are exploring intelligent manufacturing approaches (Machine Learning/Artificial Intelligence, Internet of Things, Digital Twin, etc.) to improve their competitiveness, but lack in implementing them. This paper reviews the intelligent manufacturing approaches and extends a study on how a manufacturing production plant applies its intelligence in executing these approaches to transform from discrete manufacturing to intelligent manufacturing. The case study initiates the implementation of Siemens manufacturing production plant into a model based on intelligent manufacturing, thereby transforming the whole into an intelligent manufacturing industry. A broadened path about the implementation of intelligent manufacturing in this industry is outlined. In the operation of selecting these approaches, the manufacturing plant continuously mechanizes its products, informatizes its management, and digitizes its operation.