Sökning: onr:"swepub:oai:DiVA.org:kth-337989" >
Top ten intelligent...
Top ten intelligent algorithms towards smart manufacturing
-
- Zhang, Meng (författare)
- Chinese Aeronautical Establishment, Beijing 100029, China; Department of Automation, Tsinghua University, Beijing 100084, China
-
- Tao, Fei (författare)
- School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China; Digital Twin International Research Center, International Research Institute for Multidisciplinary Science, Beihang University, Beijing 100191, China
-
- Zuo, Ying (författare)
- School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
-
visa fler...
-
- Xiang, Feng (författare)
- Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China; Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, China
-
- Wang, Lihui (författare)
- KTH,Produktionsutveckling
-
- Nee, A. Y.C. (författare)
- Department of Mechanical Engineering, National University of Singapore, Singapore 117576, Singapore
-
visa färre...
-
(creator_code:org_t)
- Elsevier BV, 2023
- 2023
- Engelska.
-
Ingår i: Journal of manufacturing systems. - : Elsevier BV. - 0278-6125 .- 1878-6642. ; 71, s. 158-171
- Relaterad länk:
-
https://urn.kb.se/re...
-
visa fler...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- Intelligent algorithms can empower the development of smart manufacturing, since they can provide optimal solutions for detection, analysis, prediction and optimization. In recent ten years, publications on intelligent algorithms in smart manufacturing have increased sharply, showing superior performance in solving problems such as shop-floor scheduling, equipment prognosis, product defect detection and manufacturing service composition, etc. In this context, this paper focuses on the selection of commonly used top ten algorithms by providing a sound understanding of how they contribute to improving manufacturing processes. First, it presents a comprehensive survey and bibliometric analysis according to relevant literature. On this basis, the top ten algorithms are highlighted and reviewed. Then three key issues concerning when to use these algorithms in smart manufacturing, how to use them, as well as why to use them are studied. Finally, the challenges for the ten algorithms are summarized.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Produktionsteknik, arbetsvetenskap och ergonomi (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Production Engineering, Human Work Science and Ergonomics (hsv//eng)
Nyckelord
- Artificial intelligence
- Intelligent algorithms
- Intelligent optimization
- Machine learning
- Smart manufacturing
Publikations- och innehållstyp
- ref (ämneskategori)
- for (ämneskategori)
Hitta via bibliotek
Till lärosätets databas