Artificial intelligence and internet of things in manufacturing decision processes

Santo Wijaya, Lim Hermanto Rudy, Fransisca Debora, Rana Ardila Rahma, Arief Ramadhan, Yusita Attaqwa
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Abstract

This paper explores the influence of the internet of things (IoT) and artificial intelligence (AI) on the decision-making processes of modern manufacturing systems. With the proliferation of IoT devices and the development of AI technologies, manufacturing companies increasingly leverage these technologies to improve their decision-making abilities. This study aims to investigate the potential benefits, difficulties, and ramifications of integrating IoT and AI in manufacturing systems. The review employs the preferred reporting items for systematic reviews and meta-analyses (PRISMA) method with a systematic mapping process with four research questions. A total of 1282 articles were collected between 2017 and 2023, reviewed in accordance with the inclusion and exclusion criteria, and 66 articles were chosen. The research on IoT and AI technologies influentially affects other research in the production control layer manufacturing area based on the top-ten cited articles. In contrast, the research in this area focused on the operations management layer, specifically manufacturing analytics processes. This paper’s findings contribute to a greater understanding of the impact of IoT and AI on decision-making in modern multi-domain manufacturing systems and provide direction for future research in this field.
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人工智能和物联网在制造业决策过程中的应用
本文探讨了物联网(IoT)和人工智能(AI)对现代制造系统决策过程的影响。随着物联网设备的普及和人工智能技术的发展,制造企业越来越多地利用这些技术来提高决策能力。本研究旨在探讨在制造系统中整合物联网和人工智能的潜在好处、困难和影响。综述采用了系统综述和荟萃分析的首选报告项目(PRISMA)方法,并对四个研究问题进行了系统的映射。共收集了 2017 年至 2023 年间的 1282 篇文章,按照纳入和排除标准进行了审查,最终选择了 66 篇文章。从被引用次数前十的文章来看,物联网和人工智能技术的研究对生产控制层制造领域的其他研究产生了影响。相比之下,该领域的研究主要集中在运营管理层,特别是制造分析流程。本文的研究结果有助于更好地理解物联网和人工智能对现代多领域制造系统决策的影响,并为该领域的未来研究提供了方向。
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