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2022
Journal Article
Titel
Towards an Ontology for a Lightweight Support System for Production System Rough Planning
Abstract
To shorten times-to-markets, also the planners of production systems have to be supported appropriately. For this, open, adaptable systems are needed which support continuous flows of information, e.g. by leveraging standard data formats - and, which are easy to use for planners without specific knowledge about software development or ontology engineering. This paper introduces a support system for production system rough planning, especially for, but not limited to, assembly systems, which consists of two main components: a standard-based ontology as explicitly formulated external data model and a relatively universal software system working on the ontology. Thereby, focus of this contribution is mainly on the ontology, so on manufacturing modeling.
Language
English