授权工业5.0驱动的制造商实现可持续性和优化的评估决策模型:一个案例研究

None Gawaher Soliman Hussein, None Abdel Nasser H. Zaied, Mona Mohamed
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引用次数: 1

摘要

虽然人们认为工业4.0 (i4.0)将支持可持续增长,但它忽视或误解了当前的许多可持续性问题,从而产生了工业5.0 (i5.0)议程。这种革命通过其三个方面促进可持续发展。因此,i5.0促进了作为供应链资源的商业环境更有效的管理。尽管人工智能(AI)和大数据分析(BDA)在供应链背景下变得越来越受欢迎,但迄今为止的研究仍然分散在主要由出版机构决定的研究流中。本研究基于一套标准来评估这些技术在制造企业可持续发展方面的能力。因此,我们确定了与人工智能和BDA相关的标准。多准则决策(MCDM)技术的熵和加权和模型等各种技术在单值嗜中性集(SVNSs)的权威下工作,以增强和促进这些技术在不确定情况下的应用。将构建的评价者决策模型(ADM)应用于实际企业,对该模型进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ADM: Appraiser Decision Model for Empowering Industry 5.0-Driven Manufacturers toward Sustainability and Optimization: A Case Study
Whilst it was thought that Industry 4.0 (I 4.0) would support sustainable growth, it overlooked or misinterpreted many current sustainability issues, which gave rise to the Industry 5.0 (I 5.0) agenda. Such a revolution facilitates sustainable development through its three dimensions. Therefore, I 5.0 promotes more effective management of business environment as supply chain resources. Although artificial intelligence (AI) and big data analytics (BDA) are becoming more well-liked in the context of supply chains, research to this day is fragmented into research streams that are mostly determined by the publishing outlet. This study appraises the ability of these techniques in manufacturing enterprises toward sustainability based on a set of criteria. Hence, we identified the criteria which related to AI and BDA. The various techniques as entropy and weighted sum models of multi-criteria decision-making (MCDM) techniques are working under the authority of single values neutrosophic sets (SVNSs) to enhance and boost these techniques in uncertain situations. The constructed appraiser decision model (ADM) is applied to real enterprises to validate this model.
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