Abstract
The wave of the fourth industrial revolution (Industry 4.0) is bringing a new vision of the manufacturing industry. In manufacturing, one of the buzzwords of the moment is production. Smart production involves manufacturing equipment with many sensors that can generate and transmit large amounts of data. These data and information from manufacturing operations are however not shared in the organization. Therefore the organization is not using them to learn and improve their operations. To address this problem, the authors implemented in an Industry 4.0 laboratory an instance of an emerging technical standard specific for the manufacturing industry. Global manufacturing experts consider the Reference Architecture Model Industry 4.0 (RAMI4.0) as one of the corner stones for the implementation of Industry 4.0. The instantiation contributed to organizational learning in the laboratory by collecting and sharing up-to-date information concerning manufacturing equipment. This article discusses and generalizes the experience and outlines future research directions.
Highlights
This section starts with a description of the reference architecture model, its three dimensions and the structure of each dimension
The goal of this study is to develop a solution by applying a standard framework to enable information dissemination and allow the organizational learning process to progress
The models facilitated the management of information as the Lab manager pointed out: “it [the platform] provides the linking, the association between a certain student project or video [...] and a certain resource. [...] this [RAMI4.0] is effectively a way of collecting all the knowledge we have about the system [production line].”
Summary
This section starts with a description of the reference architecture model, its three dimensions and the structure of each dimension. One of the goals of this reference architecture model is to facilitate the understanding of an asset by analyzing it using three dimensions, as shown in Figure 1: (1) architecture axis, (2) life cycle and value stream, and (3) hierarchy levels. This approach aims at reducing the complexity of analysis of an asset to more manageable units and at the same time provide a holistic view of it by establishing relations between these dimensions
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