Future of industry 5.0 in society: human-centric solutions, challenges and prospective research areas.

Amr Adel
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引用次数: 75

Abstract

Industry 4.0 has been provided for the last 10 years to benefit the industry and the shortcomings; finally, the time for industry 5.0 has arrived. Smart factories are increasing the business productivity; therefore, industry 4.0 has limitations. In this paper, there is a discussion of the industry 5.0 opportunities as well as limitations and the future research prospects. Industry 5.0 is changing paradigm and brings the resolution since it will decrease emphasis on the technology and assume that the potential for progress is based on collaboration among the humans and machines. The industrial revolution is improving customer satisfaction by utilizing personalized products. In modern business with the paid technological developments, industry 5.0 is required for gaining competitive advantages as well as economic growth for the factory. The paper is aimed to analyze the potential applications of industry 5.0. At first, there is a discussion of the definitions of industry 5.0 and advanced technologies required in this industry revolution. There is also discussion of the applications enabled in industry 5.0 like healthcare, supply chain, production in manufacturing, cloud manufacturing, etc. The technologies discussed in this paper are big data analytics, Internet of Things, collaborative robots, Blockchain, digital twins and future 6G systems. The study also included difficulties and issues examined in this paper head to comprehend the issues caused by organizations among the robots and people in the assembly line.

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工业5.0在社会中的未来:以人为本的解决方案、挑战和前瞻性研究领域。
工业4.0已经提供了近10年的行业利益和缺点;工业5.0的时代终于到来了。智能工厂正在提高企业生产力;因此,工业4.0有其局限性。本文讨论了工业5.0的机遇、局限性和未来的研究展望。工业5.0正在改变范式,并带来了解决方案,因为它将减少对技术的强调,并假设进步的潜力是基于人与机器之间的协作。工业革命就是利用个性化产品来提高顾客满意度。在现代商业中,随着技术的发展,工业5.0是工厂获得竞争优势和经济增长所必需的。本文旨在分析工业5.0的潜在应用。首先,讨论了工业5.0的定义以及这场工业革命所需的先进技术。还讨论了工业5.0中支持的应用程序,如医疗保健、供应链、制造业生产、云制造等。本文讨论的技术包括大数据分析、物联网、协作机器人、区块链、数字孪生和未来6G系统。该研究还包括困难和问题在这篇论文中审查,以理解机器人和装配线上的人之间的组织所造成的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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