{"title":"利用增材制造实现供应链弹性:文献计量学调查","authors":"Abderrahmen Bouchenine , Mohammad A.M. Abdel-Aal","doi":"10.1016/j.sca.2023.100014","DOIUrl":null,"url":null,"abstract":"<div><p><em>Additive manufacturing</em> (AM) is an evolutionary manufacturing technology attracting many firms and governments. Its impact, however, on supply chains remains unexplored. To date, no research has investigated the implications of additive manufacturing on <em>Supply Chain</em> (SC) resilience utilizing a bibliometric analysis. This study presents a bibliometric analysis to investigate the scientific development and contribution of additive manufacturing to supply chain resilience. The investigation is conducted to unveil and characterize the ongoing and future research trends of AM in SC and its intersection in the literature. After pre-processing, two hundred and twenty-four articles are extracted from the Web of Science database utilizing relevant keywords and logical connections, the metadata collected from these articles are investigated and compared using bibliographic coupling, sources analysis, co-citation and co-word analysis through the Bibliometrix R software and VOSViewer. The bibliometric survey aims to classify the most pertinent thematic collections and publications in which AM and SC intersect. We show a noticeable focus on adopting AM to respond to SC disruptions and SC management in recent years. Insights and trends regarding AM & SC for practitioners and scholars are identified and proposed for future research directions.</p></div>","PeriodicalId":101186,"journal":{"name":"Supply Chain Analytics","volume":"2 ","pages":"Article 100014"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Towards supply chain resilience with additive manufacturing: A bibliometric survey\",\"authors\":\"Abderrahmen Bouchenine , Mohammad A.M. Abdel-Aal\",\"doi\":\"10.1016/j.sca.2023.100014\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p><em>Additive manufacturing</em> (AM) is an evolutionary manufacturing technology attracting many firms and governments. Its impact, however, on supply chains remains unexplored. To date, no research has investigated the implications of additive manufacturing on <em>Supply Chain</em> (SC) resilience utilizing a bibliometric analysis. This study presents a bibliometric analysis to investigate the scientific development and contribution of additive manufacturing to supply chain resilience. The investigation is conducted to unveil and characterize the ongoing and future research trends of AM in SC and its intersection in the literature. After pre-processing, two hundred and twenty-four articles are extracted from the Web of Science database utilizing relevant keywords and logical connections, the metadata collected from these articles are investigated and compared using bibliographic coupling, sources analysis, co-citation and co-word analysis through the Bibliometrix R software and VOSViewer. The bibliometric survey aims to classify the most pertinent thematic collections and publications in which AM and SC intersect. We show a noticeable focus on adopting AM to respond to SC disruptions and SC management in recent years. Insights and trends regarding AM & SC for practitioners and scholars are identified and proposed for future research directions.</p></div>\",\"PeriodicalId\":101186,\"journal\":{\"name\":\"Supply Chain Analytics\",\"volume\":\"2 \",\"pages\":\"Article 100014\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Supply Chain Analytics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2949863523000134\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Supply Chain Analytics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2949863523000134","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
摘要
增材制造(AM)是一种不断发展的制造技术,吸引了许多企业和政府。然而,它对供应链的影响仍未得到探索。到目前为止,还没有研究利用文献计量分析来调查增材制造对供应链(SC)弹性的影响。本研究采用文献计量分析法,研究增材制造的科学发展及其对供应链弹性的贡献。本研究旨在揭示和表征AM在SC中的当前和未来研究趋势及其在文献中的交叉点。经过预处理,利用相关关键词和逻辑连接从Web of Science数据库中提取了224篇文章,并通过Bibliometrix R软件和VOSViewer使用书目耦合、来源分析、共引和共词分析对从这些文章中收集的元数据进行了调查和比较。文献计量学调查旨在对AM和SC交叉的最相关的主题收藏和出版物进行分类。近年来,我们明显关注采用AM来应对供应链中断和供应链管理。AM&;确定了面向从业者和学者的SC,并提出了未来的研究方向。
Towards supply chain resilience with additive manufacturing: A bibliometric survey
Additive manufacturing (AM) is an evolutionary manufacturing technology attracting many firms and governments. Its impact, however, on supply chains remains unexplored. To date, no research has investigated the implications of additive manufacturing on Supply Chain (SC) resilience utilizing a bibliometric analysis. This study presents a bibliometric analysis to investigate the scientific development and contribution of additive manufacturing to supply chain resilience. The investigation is conducted to unveil and characterize the ongoing and future research trends of AM in SC and its intersection in the literature. After pre-processing, two hundred and twenty-four articles are extracted from the Web of Science database utilizing relevant keywords and logical connections, the metadata collected from these articles are investigated and compared using bibliographic coupling, sources analysis, co-citation and co-word analysis through the Bibliometrix R software and VOSViewer. The bibliometric survey aims to classify the most pertinent thematic collections and publications in which AM and SC intersect. We show a noticeable focus on adopting AM to respond to SC disruptions and SC management in recent years. Insights and trends regarding AM & SC for practitioners and scholars are identified and proposed for future research directions.