Transition Supply Chain 4.0 to Supply Chain 5.0: Innovations of Industry 5.0 Technologies Toward Smart Supply Chain Partners

Mona Mohamed, None Karam M. Sallam, None Ali Wagdy Mohamed
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Abstract

Industry 4.0 provides businesses with the tools they need to meet difficulties such as fluctuating demand and unstable markets. Additionally, Industry 4.0 refers to the connectivity of computers, various materials, and artificial intelligence (AI) with minimum involvement from humans in the decision-making process. Although Industry 4.0 has a significant potential for the expansion of the industrial sector, it faces several hurdles, including integration of technology, problems with human resources, problems with supply chains, and data security concerns. The human-centered approach that Industry 5.0 took meant that many of the problems that plagued Industry 4.0 could finally be solved. In the previous generation, known as Industry 4.0, the emphasis was placed on scalability and volume of production; however, in the next generation, known as Industry 5.0, human centricity is the key focus. We have included a list of the different technical improvements that are part of Industry 5.0 as well as the technological advancements that are part of Industry 4.0. The problems that plagued Industry 4.0 have been addressed head-on in Industry 5.0, including concerns over data protection and the integration of new technologies. This study would serve as a foundation for academics and companies to learn about the technologies of Industry 4.0, their obstacles, the technical advancements, and the methods by that Industry 5.0 addressed the issues of Industry 4.0. Also, we constructed an appraiser model to appraise manufacturers as partner in supply chain. We selected manufacturers which are interested in deploying Industry 5.0 in their operation. Analytic Hierarchy Process (AHP) and Complex Proportional Assessment (COPRAS) are contributed to construct appraiser model under authority of uncertainty theory entailed in single value neutrosophic sets (SVNSs) to support AHP and COPRAS in ambiguity situations.
供应链4.0向供应链5.0过渡:面向智能供应链合作伙伴的工业5.0技术创新
工业4.0为企业提供了应对需求波动和市场不稳定等困难所需的工具。此外,工业4.0指的是计算机、各种材料和人工智能(AI)的连接,在决策过程中人类的参与最少。尽管工业4.0对工业部门的扩张具有巨大的潜力,但它面临着一些障碍,包括技术整合、人力资源问题、供应链问题和数据安全问题。工业5.0采用的以人为本的方法意味着困扰工业4.0的许多问题最终可以得到解决。在上一代工业4.0中,重点放在可扩展性和产量上;然而,在下一代工业5.0中,以人为本是重点。我们列出了工业5.0的不同技术改进以及工业4.0的技术进步。困扰工业4.0的问题在工业5.0中得到了正面解决,包括对数据保护和新技术集成的担忧。本研究将为学术界和企业了解工业4.0的技术、障碍、技术进步以及工业5.0解决工业4.0问题的方法奠定基础。此外,我们还构建了一个评估模型来评估作为供应链合作伙伴的制造商。我们选择了有兴趣在其运营中部署工业5.0的制造商。运用层次分析法(AHP)和复比例评价法(COPRAS),在单值嗜中性集(SVNSs)不确定性理论的指导下,构建了评价模型,以支持模糊情况下的AHP和COPRAS。
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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