工业 5.0 中的未来工厂--软件化、服务化和工业化

IF 6 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Internet of Things Pub Date : 2024-11-21 DOI:10.1016/j.iot.2024.101431
Amr Adel , Noor HS Alani , Tony Jan
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引用次数: 0

摘要

从工业 4.0 到工业 5.0 的转变代表着制造领域的深刻范式转变,强调先进数字技术与以人为本的协作、可持续性和运营弹性的融合。本文严格研究了先进云架构中的软化和服务化的变革潜力,它们是在工业 5.0 背景下实现未来工厂(FoF)的关键推动因素。我们探讨了软沃化的复杂技术,利用软件定义网络(SDN)、网络功能虚拟化(NFV)、人工智能即服务(AIaaS)和云原生架构等技术,在制造生态系统中实现前所未有的灵活性、可扩展性和运营效率。同时,服务化促进了从传统的以产品为中心的模式向动态的、以服务为导向的框架转变,实现了高度定制化、按需生产流程,并显著提高了客户参与度。通过仔细研究这些技术之间的共生关系,本文提出了一个全面的路线图,以解决关键技术挑战,包括分布式环境中的可扩展性、与传统系统的互操作性和强大的网络安全。此外,我们还发现了人工智能驱动的预测性维护、大规模超个性化以及平台即服务(PaaS)和基础设施即服务(IaaS)范例的动态协调等新兴机遇。我们的贡献为研究人员、行业专家和利益相关者提供了宝贵的见解,旨在充分利用工业 5.0 的潜力,推动创新并改变全球制造业实践。
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Factories of the future in industry 5.0—Softwarization, Servitization, and Industrialization
The transition from industry 4.0 to industry 5.0 represents a profound paradigm shift in the manufacturing domain, emphasizing the convergence of advanced digital technologies with human-centric collaboration, sustainability, and operational resilience. This paper rigorously investigates the transformative potential of softwarization and servitization within sophisticated cloud architectures, which are pivotal enablers for the realization of Factories-of-the-Future (FoF) in the industry 5.0 context. We explore the technical intricacies of softwarization, harnessing technologies such as Software-Defined Networking (SDN), Network Functions Virtualization (NFV), Artificial Intelligence as a Service (AIaaS), and cloud-native architectures to achieve unprecedented levels of flexibility, scalability, and operational efficiency in manufacturing ecosystems. Concurrently, servitization facilitates a shift from traditional product-centric models to dynamic, service-oriented frameworks, enabling highly customizable, on-demand manufacturing processes and significantly enhancing customer engagement. By meticulously examining the symbiotic relationship between these technologies, this paper presents a comprehensive roadmap that addresses critical technical challenges, including scalability, interoperability with legacy systems, and robust cybersecurity in distributed environments. Furthermore, we identify emergent opportunities such as AI-driven predictive maintenance, large-scale hyper-personalization, and the dynamic orchestration of Platform-as-a-Service (PaaS) and Infrastructure-as-a-Service (IaaS) paradigms. Our contributions offer valuable insights for researchers, industry experts, and stakeholders, aiming to fully leverage the potential of Industry 5.0 to drive innovation and transform global manufacturing practices.
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来源期刊
Internet of Things
Internet of Things Multiple-
CiteScore
3.60
自引率
5.10%
发文量
115
审稿时长
37 days
期刊介绍: Internet of Things; Engineering Cyber Physical Human Systems is a comprehensive journal encouraging cross collaboration between researchers, engineers and practitioners in the field of IoT & Cyber Physical Human Systems. The journal offers a unique platform to exchange scientific information on the entire breadth of technology, science, and societal applications of the IoT. The journal will place a high priority on timely publication, and provide a home for high quality. Furthermore, IOT is interested in publishing topical Special Issues on any aspect of IOT.
期刊最新文献
Constructing an IOT-based assistant service for recognizing vocal cord diseases Multi-temporal-scale event detection and clustering in IoT systems Factories of the future in industry 5.0—Softwarization, Servitization, and Industrialization Dynamic risk assessment approach for analysing cyber security events in medical IoT networks Multi-channel convolutional neural network with attention mechanism using dual-band WiFi signals for indoor positioning systems in smart buildings
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