Towards a Democratization of Data in the Context of Industry 4.0

Decis. Sci. Pub Date : 2022-07-14 DOI:10.3390/sci4030029
Tobias Harland, Christian Hocken, T. Schröer, V. Stich
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引用次数: 4

Abstract

Data-driven transparency in end-to-end operations in real-time is seen as a key benefit of the fourth industrial revolution. In the context of a factory, it enables fast and precise diagnoses and corrections of deviations and, thus, contributes to the idea of an agile enterprise. Since a factory is a complex socio-technical system, multiple technical, organizational and cultural capabilities need to be established and aligned. In recent studies, the underlying broad accessibility of data and corresponding analytics tools are called “data democratization”. In this study, we examine the status quo of the relevant capabilities for data democratization in the manufacturing industry. (1) and outline the way forward. (2) The insights are based on 259 studies on the digital maturity of factories from multiple industries and regions of the world using the acatech Industrie 4.0 Maturity Index as a framework. For this work, a subset of the data was selected. (3) As a result, the examined factories show a lack of capabilities across all dimensions of the framework (IT systems, resources, organizational structure, culture). (4) Thus, we conclude that the outlined implementation approach needs to comprise the technical backbone for a data pipeline as well as capability building and an organizational transformation.
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迈向工业4.0背景下的数据民主化
端到端实时操作中数据驱动的透明度被视为第四次工业革命的一个关键优势。在工厂的上下文中,它可以快速准确地诊断和纠正偏差,从而有助于实现敏捷企业的理念。由于工厂是一个复杂的社会技术系统,因此需要建立和协调多种技术、组织和文化能力。在最近的研究中,数据的广泛可及性和相应的分析工具被称为“数据民主化”。在本研究中,我们考察了制造业数据民主化相关能力的现状。(1)概述前进方向。(2)这些见解基于259项研究,这些研究以acatech工业4.0成熟度指数为框架,对全球多个行业和地区的工厂的数字化成熟度进行了研究。对于这项工作,选择了数据的一个子集。(3)因此,被调查的工厂显示出在框架的所有维度(IT系统、资源、组织结构、文化)缺乏能力。(4)因此,我们得出结论,概述的实施方法需要包括数据管道的技术骨干,以及能力建设和组织转型。
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