The Seeds of the NEH Algorithm: An Overview Using Bibliometric Analysis

Bruno de Athayde Prata (), Marcelo Seido Nagano (), Nádia Junqueira Martarelli Fróes () and Levi Ribeiro de Abreu ()
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Bruno de Athayde Prata: Federal University of Ceara
Marcelo Seido Nagano: University of São Paulo
Nádia Junqueira Martarelli Fróes: Mercado Livre
Levi Ribeiro de Abreu: Federal University of Ceara

SN Operations Research Forum, 2023, vol. 4, issue 4, 1-22

Abstract: Abstract This paper aims to provide a wide overview of the documents that cited the NEH algorithm since it was proposed, in 1983. Such a method is one of the most cited and used algorithms in the scheduling field and, to the best of our knowledge, there is not a bibliometric analysis on the citation of the NEH algorithm by scientific documents over the past 39 years. Hence, we brought a thorough and comprehensive bibliometric analysis to provide a wide overview of two blocks of information, metrics, and knowledge structure of the scientific documents that cited the seminal paper that proposed the mentioned approach. We used all the documents returned from the Scopus database to analyze these blocks. The first block provides an understanding of the characteristics of the sources, authors, and documents of the document collection, and with the second it is possible to analyze the conceptual, intellectual, and social knowledge structures from the selected documents. As a result, we obtained a panorama from 1983 to 2022 of all documents that made a citation of the NEH algorithm, which summed 1936 studies. We discussed the main sources, authors, and documents, individually, as well as the interaction of them and of the institutions, keywords, concepts, and countries. Finally, we pointed out some challenges and research opportunities in this thematic.

Keywords: Production scheduling; NEH; Permutation flow shop; Bibliometrics; Scopus (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s43069-023-00276-7

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