Fuzzy maturity model for Smart Manufacturing Readiness: Industry 5.0 perspective

Bojana Bajić, S. Morača, Aleksandar Rikalovic
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Abstract

Over the past ten years, there has been a significant emphasis on Industry 4.0, with a focus on smart manufacturing that integrates cyber and physical components. However, in hindsight, it appears that the hype around Industry 4.0 has not met industry expectations due to implementation challenges arising from underdeveloped technologies. Today, Industry 5.0 proposes a human-centric approach to implementing digital sustainable technologies for the achievement of resilient production. Even though the Industry 5.0 concept is still in its infancy, manufacturing companies, especially from the automotive sector, must have a certain degree of readiness to start the implementation of smart manufacturing. Therefore, this research is proposing the fuzzy-rule-based maturity model for assessing the readiness for smart manufacturing implementation. It is achieved by the development of a fuzzy expert system based on criteria based on three main Industry 5.0 pillars, namely: sustainability, resilience, and human-centricity. Finally, the fuzzy maturity model is proved in the case company from the process industry.
智能制造就绪的模糊成熟度模型:工业5.0视角
在过去的十年里,工业4.0得到了极大的重视,重点是集成网络和物理组件的智能制造。然而,事后看来,由于技术不发达带来的实施挑战,围绕工业4.0的炒作似乎没有达到行业预期。今天,工业5.0提出了一种以人为中心的方法来实施数字可持续技术,以实现弹性生产。尽管工业5.0概念仍处于起步阶段,但制造企业,特别是汽车行业的制造企业,必须有一定程度的准备才能开始实施智能制造。因此,本研究提出了基于模糊规则的成熟度模型来评估智能制造实施的准备程度。它是通过开发一个模糊专家系统来实现的,该系统基于基于工业5.0三大支柱的标准,即:可持续性、弹性和以人为本。最后,以流程工业企业为例,对模糊成熟度模型进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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