Affiliation:
1. Universidad de Pinar del Río “Hermanos Saíz Montes de Oca.” Facultad de Ciencias Técnicas, Departamento de Ingeniería Industrial. Pinar del Río, Cuba
2. Universidad Tecnológica de La Habana “José Antonio Echeverría”. Facultad de Ingeniería Química. La Habana, Cuba
3. Universidad Tecnológica de La Habana “José Antonio Echeverría”. Facultad de Ingeniería Civil. La Habana, Cuba
Abstract
Introduction: industrial and manufacturing engineering focuses on designing, improving and optimizing production systems and business operations to improve the efficiency, effectiveness, quality and profitability of companies.
Objective: to characterize the scientific production published in Scupus in the Industrial and Manufacturing Engineering research area between 2017 and 2021.
Method: observational, descriptive and bibliometric analysis of the articles published in Scopus in the Industrial and Manufacturing Engineering research area between 2017 and 2019. SciVal was used as a metric tool based on the data collected from Scopus for the analysis of the area based on indicators of production citation and collaboration.
Result: 357 310 articles were published in the Industrial and Manufacturing Engineering research area, where 21 % responded equally to the Environmental Sciences area, 18,7 to Energy and 17,8 % to the Computer Science area. The most productive themes were the topics T.1114 (n= 3285) and T.3401 (n=1883). 41,1 % of the articles presented only institutional collaboration. According to the percentile based on the CiteScore, 49,2 % of the articles were published in Q1 journals. The Chinese Academy of Sciences was the most productive institution (5 853).
Conclusions: scientific production in the Industrial and Manufacturing Engineering area was characterized by increasing trends in volume and decreasing citations, as well as by transdisciplinarity, interdisciplinarity, and international and national collaboration. The articles were mostly published in high-impact journals.
Publisher
Salud, Ciencia y Tecnologia
Reference14 articles.
1. 1. Davim P, editor. Lecture Notes on Multidisciplinary Industrial Engineering. Springer; 2022.
2. 2. Singh RP, Tyagi M, Panchal D, Davim JP, editors. Proceedings of the International Conference on Industrial and Manufacturing Systems (CIMS-2020). Springer Nature Switzerland AG; 2022.
3. 3. Romero-Silva R, de Leeuw S. Learning from the past to shape the future: A comprehensive text mining analysis of OR/MS reviews. Omega. 2021;100:102388. doi: 10.1016/j.omega.2020.102388.
4. 4. Ahamad Shaik F. La importancia de fomentar la investigación en ingeniería, salud, ciencia y tecnología de la región Asia-Pacífico. Salud Cienc. Tecnol. 2022; 2(S2):270. DOI:
5. 5. Argota Pérez G, Aliaga Guillen E, Pari Olarte JB, Solano García CG, Chacaltana Ramos L, Velásquez Salcedo LF. Productividad científica profesional mediante indicadores de reconocimiento o visibilidad y de pertenencia repulsiva. Campus 2019; 24(28):5. https://doi.org/10.24265/campus.2019.v24n28.05
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