Abstract
Effective information management is critical for the development of manufacturing processes. This paper aims to provide an overview of ontologies that can be utilized in building Industry 4.0 applications. The main contributions of the work are that it highlights ontologies that are suitable for manufacturing management and recommends the multilayer-network-based interpretation and analysis of ontology-based databases. This article not only serves as a reference for engineers and researchers on ontologies but also presents a reproducible industrial case study that describes the ontology-based model of a wire harness assembly manufacturing process.
Highlights
Managing information and data from production systems is critical for digital transformation, especially in Industry 4.0 applications, where the horizontal and vertical integration of systems requires more efficient data processing
We summarize the most relevant ontological methods amongst others to describe production systems within the scope of Industry 4.0. e RAMI and the AutomationML framework are discussed more widely as the literature review shows that leading state-of-the-art research is related to RAMI
We focus on Semantics and Hierarchy as building blocks of RAMI 4.0 and the Asset Administration Shell, as is highlighted in red in the figure. e Semantic Web Stack of the W3C (World Wide Web Consortium) is a significant building block of the RAMI 4.0 system
Summary
Managing information and data from production systems is critical for digital transformation, especially in Industry 4.0 applications, where the horizontal and vertical integration of systems requires more efficient data processing. New collaboration groups are forming as the Industrial Ontology Foundry (IOF) [16, 17] or the European H2020 project OntoCommons: ontology-driven data for industry commons [18] in order to standardize and to support the industry with advanced data interoperability, using reference ontologies Another problem is the need to improve the efficiency of assembly processes in the manufacturing industry, where computer-aided process planning (CAPP) is gaining importance, which aims to identify appropriate resources while minimizing the total assembly time [19]. (i) Data processing, structurization, and interoperability (ii) Standardization in the industry (iii) Modelling of manufacturing processes (iv) Horizontal and vertical integration (v) Share information (vi) Knowledge representation (vii) Improve the efficiency of assembly processes (viii) Process planning.
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