Industry 4.0: The New Quality Management Paradigm in Era of Industrial Internet of Things

Q3 Decision Sciences
Benjamin Duraković, Maida Halilovic
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引用次数: 0

Abstract

Advanced technologies such as Big Data, the Internet of Things, artificial intelligence, robotics, cloud computing, and additive manufacturing are enablers of the industry 4.0 revolution and signify intense transformations in socio-economic systems. This work investigates the enabling nature of certain technologies in the emergence and development of different quality paradigms. Each enabling technology is related to a certain industrial revolution; consequently, a certain quality paradigm has been developed. Where is quality management now, in which direction its development is going, and what can be expected in the future is discussed in this paper. The research focuses on the most important factors discussed in the literature that influenced quality development throughout history. Results are presented in written and graphical form and include newly established theories based on recent innovations. Since this is a cumulative overview of different quality methods, it only briefly discusses the most important theories. It was observed that with Industry 4.0 enabling technologies, we are currently experiencing a transformation in this discipline, reaching a higher level in the competition for market positioning. Particularly, meeting explicit customer needs is upgraded with latent customer needs - linked to the customer's emotional responses (delight) to products/services. This paper contributes to a new field of research that is becoming increasingly popular.
工业4.0:工业物联网时代的质量管理新范式
大数据、物联网、人工智能、机器人、云计算、增材制造等先进技术是工业4.0革命的推动者,预示着社会经济体系的剧烈变革。这项工作调查了在不同质量范式的出现和发展中某些技术的使能性质。每一项使能技术都与某一场产业革命有关;因此,形成了一定的质量范式。本文对质量管理的现状、发展方向以及未来的发展方向进行了探讨。研究的重点是文献中讨论的影响历史上质量发展的最重要因素。结果以书面和图形形式呈现,包括基于最近创新的新建立的理论。由于这是不同质量方法的累积概述,因此仅简要讨论最重要的理论。据观察,随着工业4.0使能技术的发展,我们目前正在经历这一学科的转型,在市场定位的竞争中达到了更高的水平。特别是,满足显性客户需求升级为潜在客户需求——与客户对产品/服务的情感反应(喜悦)相关。这篇论文为一个日益流行的新研究领域做出了贡献。
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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来源期刊
JOIV International Journal on Informatics Visualization
JOIV International Journal on Informatics Visualization Decision Sciences-Information Systems and Management
CiteScore
1.40
自引率
0.00%
发文量
100
审稿时长
16 weeks
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