Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/106141
DC Field | Value | Language |
---|---|---|
dc.contributor | Chinese Mainland Affairs Office | en_US |
dc.contributor | Department of Industrial and Systems Engineering | en_US |
dc.creator | Yi, HL | en_US |
dc.creator | Qu, T | en_US |
dc.creator | Zhang, K | en_US |
dc.creator | Li, MX | en_US |
dc.creator | Huang, GQ | en_US |
dc.creator | Chen, ZF | en_US |
dc.date.accessioned | 2024-05-03T00:45:26Z | - |
dc.date.available | 2024-05-03T00:45:26Z | - |
dc.identifier.uri | http://hdl.handle.net/10397/106141 | - |
dc.language.iso | en | en_US |
dc.publisher | MDPI AG | en_US |
dc.rights | © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). | en_US |
dc.rights | The following publication Yi H, Qu T, Zhang K, Li M, Huang GQ, Chen Z. Production Logistics in Industry 3.X: Bibliometric Analysis, Frontier Case Study, and Future Directions. Systems. 2023; 11(7):371 is available at https://dx.doi.org/10.3390/systems11070371. | en_US |
dc.subject | Industry 3.X | en_US |
dc.subject | Production logistics | en_US |
dc.subject | LLR-LDA algorithm | en_US |
dc.subject | Scientific knowledge graph | en_US |
dc.subject | Synchronization | en_US |
dc.title | Production logistics in industry 3.X : bibliometric analysis, frontier case study, and future directions | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 11 | en_US |
dc.identifier.issue | 7 | en_US |
dc.identifier.doi | 10.3390/systems11070371 | en_US |
dcterms.abstract | At present, the development of the global manufacturing industry is still in the transition stage from Industry 3.0 to Industry 4.0 (i.e., Industry 3.X), and the production logistics system is becoming more and more complex due to the individualization of customer demands and the high frequency of order changes. In order to systematically analyze the research status and dynamic evolution trend of production logistics in the Industry 3.X stage, this paper designed a Log-Likelihood ratio-based latent Dirichlet allocation (LLR-LDA) algorithm based on bibliometrics and knowledge graph technology, taking the literature of China National Knowledge Infrastructure and Web of Science database as the data source. In-depth bibliometric analysis of literature was carried out from research progress, hotspot evolution, and frontier trends. At the same time, taking the case of scientific research projects overcome by our research group as an example, it briefly introduced the synchronized decision-making framework of digital twin-enabled production logistics system. It is expected to broaden the research boundary of production logistics in the Industry 3.X stage, promote the development and progress of the industry, and provide valuable reference for steadily moving towards the Industry 4.0 stage. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Systems, July 2023, v. 11, no. 7, 371 | en_US |
dcterms.isPartOf | Systems | en_US |
dcterms.issued | 2023-07 | - |
dc.identifier.isi | WOS:001038961500001 | - |
dc.identifier.eissn | 2079-8954 | en_US |
dc.identifier.artn | 371 | en_US |
dc.description.validate | 202405 bcrc | en_US |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_Scopus/WOS | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | National Key Research and Development Program of China | en_US |
dc.description.fundingText | 2018 Guangzhou Leading Innovation Team Program (China) | en_US |
dc.description.fundingText | Science and Technology Development Fund (Macau SAR) | en_US |
dc.description.fundingText | 2019 Guangdong Special Support Talent Program-Innovation and Entrepreneurship Leading Team (China); | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | CC | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
systems-11-00371.pdf | 7.01 MB | Adobe PDF | View/Open |
Page views
8
Citations as of Jun 30, 2024
Downloads
1
Citations as of Jun 30, 2024
SCOPUSTM
Citations
2
Citations as of Jun 21, 2024
![](/image/google_scholar.jpg)
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.