精益生产教育研究出版物的文献计量分析:确定关键主题和趋势

IF 1.4 Q4 ENGINEERING, INDUSTRIAL
Ibrahim Hassan Mohamud
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引用次数: 0

摘要

由于在精益制造领域有如此多的实证研究,为了对这一主题的文献进行全面的概述,需要进行文献计量分析。通过科学制图和多维文献计量分析,本研究旨在找出被引用最多的精益制造研究的共同主题。使用VOSviewer进行文献计量分析,包括关键词出现率、合著者网络和文献计量耦合网络分析。从SCOPUS数据库搜索的4,648个结果中,分析了被引用最多的100篇文章。分析发现了四个研究集群:“精益制造”、“生产力”、“制造”和“价值流映射”。研究还发现,大多数被引次数最多的论文来自排名第一的期刊。基于这些结果,学者们努力尽可能多地了解这个领域。这些结果对研究人员来说很重要,因为它们表明了精益生产的研究已经走了多远。据笔者所知,目前还没有其他文献计量学分析的研究。通过绘制已知精益生产的科学地图,本研究增加了已知的内容。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Bibliometric Analysis of Educational Research Publications on Lean Manufacturing: Identifying Key Themes and Trends
Abstract Since there is so much empirical research in the field of lean manufacturing, to provide a comprehensive overview of the literature on this subject, a bibliometric analysis was required. Through science mapping and multi-dimensional bibliometric analysis, this study aims to identify common themes in the most-cited research on lean manufacturing. A bibliometric analysis was conducted using VOSviewer, including keyword occurrence, co-authorship network, and bibliometric coupling network analyses. From the 4,648 results in the SCOPUS database search, the 100 most-cited articles were analyzed. The analysis found four research clusters: “lean manufacturing,” “productivity,” “manufacture,” and “value stream mapping.” It was also found that most of the most-cited papers came from journals with a Q1 ranking. Based on these results, scholars work to learn as much as they can about the field. The results are important to researchers because they show how far the research on lean manufacturing has come. As far as the author knows, no other study has been done on bibliometric analysis of the topic. By making a scientific map of what is known about lean manufacturing, this study adds to what is already known.
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来源期刊
CiteScore
4.30
自引率
13.30%
发文量
48
审稿时长
10 weeks
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