Open AccessEntropy‐based dispatching: academic insights and perspectives through bibliometric analysis
Author(s) -
Li Shiyun,
Zhong Sheng,
Du Rui,
Pei Zhi,
Chen Yong,
Wang Cheng,
Yi Wenchao,
Wu Guanghua,
Lv Ruifeng
Publication year - 2020
Publication title -
iet collaborative intelligent manufacturing
Language(s) - English
Resource type - Journals
ISSN - 2516-8398
DOI - 10.1049/iet-cim.2020.0011
Subject(s) - data science , bibliometrics , citation analysis , computer science , library science , citation
Entropy‐based dispatching has attracted more and more attention from professional scholars and engineers. The quantity and quality of publications related to this topic are increasing rapidly. To accurately measure this growth, we use bibliometric tools to evaluate publications in the field from 1985 to 2019, based on the Science Citation Index Expanded database. They compare and analyse the relationship between dispatching problems and entropy theory in different research fields, and provide detailed overviews and discussions on hot topics and potential research value based on keywords, citations, H‐index, journals, institutions, countries and authors. The analysis shows that the application of information entropy to the quantification of dynamic information in flexible manufacturing systems, noise processing in power systems and channel rate prediction has potential research value. The result reveals that universities in mainland China have made the greatest contribution, which renders the number of publications from China in the lead, followed by the US and the UK. ‘International Journal of Production Research’ and ‘European Journal of Operational Research’ are two of the most noteworthy archives for researchers in this field. For interested readers, integrating entropy theory with economic scheduling, power scheduling, and job‐shop scheduling will be the future trend of this field.