Abstract
Modern production systems can benefit greatly from integrated and up-to-date digital representations. Their applications range from consistency checks during the design phase to smart manufacturing to maintenance support. Such digital twins not only require data, information and knowledge as inputs but can also be considered integrated models themselves. This paper provides an overview of data, information and knowledge typically available throughout the lifecycle of production systems and the variety of applications driven by data analysis, expert knowledge and knowledge-based systems. On this basis, we describe the potential for combining data analysis and knowledge-based systems in the context of production systems and describe two feasibility studies that demonstrate how knowledge-based systems can be created using data analysis.This article is part of the theme issue ‘Towards symbiotic autonomous systems’.
Highlights
digital twins (DTs) require these as inputs but can be considered models themselves, which can be used for various applications in the context of production systems
This paper provided insights into why the combination of expert knowledge, data analytics and knowledge-based systems (KBSs) is essential for production systems in general and the creation of DTs in particular
We introduced a variety of applications that can benefit from data analysis or KBSs throughout the lifecycle of production systems (RQ2)
Summary
Complex products require increasingly complex and powerful production systems. To leverage the available information, technologies such as data analysis and knowledge-based systems (KBSs) become ever more important. This paper will address the research question ‘Which data, information and knowledge is available throughout the lifecycle of production systems?’ (RQ1). Even though novel technologies such as data analysis and KBSs seem promising, we will analyse which use cases throughout the lifecycle of production systems, or even automated production systems (aPSs), can be expected to benefit from data analysis and KBSs (RQ2). Based on this analysis, we will give an overview of approaches from data analysis and KBSs that have already been successfully applied to production systems (RQ3).
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