Department of Industrial Engineering of Central Tehran Branch, Islamic Azad University, Tehran 1469669191, Iran.
Department of Logistics, Faculty of Economics, University of Gdańsk, ul. Armii Krajowej 119/121, 81-824 Sopot, Poland.
Sensors (Basel). 2022 Apr 11;22(8):2931. doi: 10.3390/s22082931.
In today's competitive world, supply chain management is one of the fundamental issues facing businesses that affects all an organization's activities to produce products and provide services needed by customers. The technological revolution in supply chain logistics is experiencing a significant wave of new innovations and challenges. Despite the current fast digital technologies, customers expect the ordering and delivery process to be faster, and as a result, this has made it easier and more efficient for organizations looking to implement new technologies. "Artificial Intelligence of Things (AIoT)", which means using the Internet of Things to perform intelligent tasks with the help of artificial intelligence integration, is one of these expected innovations that can turn a complex supply chain into an integrated process. AIoT innovations such as data sensors and RFID (radio detection technology), with the power of artificial intelligence analysis, provide information to implement features such as tracking and instant alerts to improve decision making. Such data can become vital information to help improve operations and tasks. However, the same evolving technology with the presence of the Internet and the huge amount of data can pose many challenges for the supply chain and the factors involved. In this study, by conducting a literature review and interviewing experts active in FMCG industries as an available case study, the most important challenges facing the AIoT-powered supply chain were extracted. By examining these challenges using nonlinear quantitative analysis, the importance of these challenges was examined and their causal relationships were identified. The results showed that cybersecurity and a lack of proper infrastructure are the most important challenges facing the AIoT-based supply chain.
在当今竞争激烈的世界中，供应链管理是企业面临的基本问题之一，影响着组织生产产品和提供客户所需服务的所有活动。供应链物流的技术革命正在经历一波新的创新和挑战。尽管当前的数字技术发展迅速，但客户希望订购和交付过程更快，因此，这使得希望实施新技术的组织更容易、更高效。“物联网人工智能（AIoT）”是指利用物联网在人工智能集成的帮助下执行智能任务，是一种可以将复杂的供应链转变为集成流程的预期创新之一。AIoT 创新，如数据传感器和射频识别（RFID）（无线电检测技术），借助人工智能分析的强大功能，提供信息以实施跟踪和即时警报等功能，从而改善决策。这些数据可能成为帮助改进运营和任务的重要信息。然而，同样不断发展的技术伴随着互联网的存在和大量数据，可能会给供应链和相关因素带来许多挑战。在这项研究中，通过进行文献综述和采访在快速消费品行业活跃的专家作为可用的案例研究，提取了由 AIoT 驱动的供应链面临的最重要挑战。通过使用非线性定量分析来检查这些挑战，检查了这些挑战的重要性，并确定了它们的因果关系。结果表明，网络安全和缺乏适当的基础设施是由 AIoT 驱动的供应链面临的最重要挑战。
