Abstract
Imagine the possibility to save a simulation at any time, modify or analyze it, and restart again with exactly the same state. The conceptualization and its concrete manifestation in the implementation OntologySim is demonstrated in this paper. The presented approach of a fully ontology-based simulation can solve current challenges in modeling and simulation in production science. Due to the individualization and customization of products and the resulting increase in complexity of production, a need for flexibly adaptable simulations arises. This need is exemplified in the trend towards Digital Twins and Digital Shadows. Their application to production systems, against the background of an ever increasing speed of change in such systems, is arduous. Moreover, missing understandability and human interpretability of current approaches hinders successful, goal oriented applications. The OntologySim can help solving this challenge by providing the ability to generate truly cyber physical systems, both interlocked with reality and providing a simulation framework. In a nutshell, this paper presents a discrete-event-based open-source simulation using multi-agency and ontology.
Highlights
IntroductionSci. 2022, 12, Product differentiation and customer satisfaction today demonstrate a shift from a technical product focus towards customized, unique products
To provide insights into complex systems and make decisions, for instance, regarding production changes [4]. To meet this new demand for flexibility of production system simulations [3], this paper presents an ontology-based simulation enabling the transfer of ontology advantages to simulation
This is extended by introduction of the manifestation, the Owlready [7]-based open source solution OntologySim, which fully integrates an ontology into the simulation and offers a visualization via web development
Summary
Sci. 2022, 12, Product differentiation and customer satisfaction today demonstrate a shift from a technical product focus towards customized, unique products Increasing this product individualization leads to changes and increases in the complexity of production systems and amplifies the necessity for more flexible production systems [1,2]. To provide insights into complex systems and make decisions, for instance, regarding production changes [4] To meet this new demand for flexibility of production system simulations [3], this paper presents an ontology-based simulation enabling the transfer of ontology advantages to simulation. The conceptualization of a simulation based on a knowledge graph as an instantiated ontology is presented This is extended by introduction of the manifestation, the Owlready [7]-based open source solution OntologySim, which fully integrates an ontology into the simulation and offers a visualization via web development
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
