Towards an Ontology for Small Series Production

Udo Inden, Nikolay Mehandjiev, Lars Mönch, Pavel Vrba

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We describe the derivation of ontology to capture knowledge regarding small series manufacturing. This work is motivated by use-cases ranging from the assembly of large aircraft built from about 6 million parts to the production of galley inserts, both plagued by problems for arising from the same interplay between product and production engineering. During ramp-up stages of such production, there are challenges of innovative technologies, high quality and safety standards or the structural complexity of products which frequently cause supply-chain problems or require revisions of the designs that result in significant financial losses. These conditions differ significantly from standard production scenarios. Based on a detailed domain analysis, we identify five requirements for the type of knowledge to be captured in ontology, and then proceed to propose a first version of such an ontology addressing these requirements, thus providing an appropriate semantic base for intelligent, associative tools that can effectively support ramp-up management.
Original languageEnglish
Title of host publicationIndustoaal Applications of Hologonic and Multi-Agent Systems
Subtitle of host publication6th International Conference, HoloMAS 2013, Prague, Czech Republic, August 26-28, 2013 Proceedings
PublisherSpringer Nature
Pages128-139
Volume8062
ISBN (Print)9783642400896
DOIs
Publication statusPublished - Aug 2013
Event6th International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2013 - Prague
Duration: 1 Jul 2013 → …

Publication series

NameLecture Notes in Artificial Intelligence

Other

Other6th International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2013
CityPrague
Period1/07/13 → …

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