TY - JOUR
T1 - Smart Manufacturing and Intelligent Manufacturing: A Comparative Review
AU - Wang, Baicun
AU - Tao, Fei
AU - Fang, Xudong
AU - Liu, Chao
AU - Liu, Yufei
AU - Freiheit, Theodor
N1 - Funding Information:
This work was supported by the International Postdoctoral Exchange Fellowship Program ( 20180025 ), National Natural Science Foundation of China ( 51703180 ), China Postdoctoral Science Foundation ( 2018M630191 and 2017M610634 ), Shaanxi Postdoctoral Science Foundation ( 2017BSHEDZZ73 ), and Fundamental Research Funds for the Central Universities ( xpt012020006 and xjj2017024 ).
Publisher Copyright:
© 2020 THE AUTHORS
PY - 2021/6
Y1 - 2021/6
N2 - The application of intelligence to manufacturing has emerged as a compelling topic for researchers and industries around the world. However, different terminologies, namely smart manufacturing (SM) and intelligent manufacturing (IM), have been applied to what may be broadly characterized as a similar paradigm by some researchers and practitioners. While SM and IM are similar, they are not identical. From an evolutionary perspective, there has been little consideration on whether the definition, thought, connotation, and technical development of the concepts of SM or IM are consistent in the literature. To address this gap, the work performs a qualitative and quantitative investigation of research literature to systematically compare inherent differences of SM and IM and clarify the relationship between SM and IM. A bibliometric analysis of publication sources, annual publication numbers, keyword frequency, and top regions of research and development establishes the scope and trends of the currently presented research. Critical topics discussed include origin, definitions, evolutionary path, and key technologies of SM and IM. The implementation architecture, standards, and national focus are also discussed. In this work, a basis to understand SM and IM is provided, which is increasingly important because the trend to merge both terminologies rises in Industry 4.0 as intelligence is being rapidly applied to modern manufacturing and human–cyber–physical systems.
AB - The application of intelligence to manufacturing has emerged as a compelling topic for researchers and industries around the world. However, different terminologies, namely smart manufacturing (SM) and intelligent manufacturing (IM), have been applied to what may be broadly characterized as a similar paradigm by some researchers and practitioners. While SM and IM are similar, they are not identical. From an evolutionary perspective, there has been little consideration on whether the definition, thought, connotation, and technical development of the concepts of SM or IM are consistent in the literature. To address this gap, the work performs a qualitative and quantitative investigation of research literature to systematically compare inherent differences of SM and IM and clarify the relationship between SM and IM. A bibliometric analysis of publication sources, annual publication numbers, keyword frequency, and top regions of research and development establishes the scope and trends of the currently presented research. Critical topics discussed include origin, definitions, evolutionary path, and key technologies of SM and IM. The implementation architecture, standards, and national focus are also discussed. In this work, a basis to understand SM and IM is provided, which is increasingly important because the trend to merge both terminologies rises in Industry 4.0 as intelligence is being rapidly applied to modern manufacturing and human–cyber–physical systems.
KW - Human–cyber–physical system (HCPS)
KW - Industry 4.0
KW - Intelligent manufacturing
KW - Smart manufacturing
UR - http://www.scopus.com/inward/record.url?scp=85092890598&partnerID=8YFLogxK
U2 - 10.1016/j.eng.2020.07.017
DO - 10.1016/j.eng.2020.07.017
M3 - Review article
AN - SCOPUS:85092890598
SN - 2095-8099
VL - 7
SP - 738
EP - 757
JO - Engineering
JF - Engineering
IS - 6
ER -