Abstract
With the advancement of prediction, optimization, and automation, Industry 4.0 is characterized by integrating cutting-edge technology and creating smart factories. Industry 5.0 is a relatively new concept that focuses on integrating humans and machines to enhance the quality of products and services. Although the literature on this field has made progress in enhancing monitoring, tracking, and cost reduction, it has not devoted enough effort towards consolidating real justifications into a single framework. In order to make current industries more productive and efficient, this supply chain transformation, which arranged the manufacturing system, mechanized production, and substantial economic activity in revolutionary economies, must be organized. Thus, the authors use a systematic review approach to gather and analyze relevant literature for a transparent and rigorous view. This study also utilizes bibliometric analysis tools to identify key authors and publications in the field by comprehensively searching relevant databases and journals. In addition, this study incorporated the key challenges and opportunities for supply chain management based on these new technologies, including improved efficiency and transparency, but also possible problems with data security and worker displacement. As a result, this study contributes to detecting patterns and trends in the literature, such as the most popular research trend and the most popular research subjects, which will be helpful to academics and practitioners in supply chain management. Hence, the reviewed and revealed facts about the opportunities, problems, and realities may use to establish plans and laws addressing how Industry 4.0 and 5.0 will affect supply chain management in the future.
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Shamsuddoha, M., Kashem, M.A., Nasir, T. (2023). Revolutionizing Supply Chain Management: A Bibliometric Analysis of Industry 4.0 and 5.0. In: Qudrat-Ullah, H., Ali, S.I. (eds) Advanced Technologies and the Management of Disruptive Supply Chains. Understanding Complex Systems. Springer, Cham. https://doi.org/10.1007/978-3-031-45229-1_3
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