@inproceedings{6467dc8fc7784c148cf39a565be49bb2,
title = "Towards an Ontology for Small Series Production",
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.",
author = "Udo Inden and Nikolay Mehandjiev and Lars M{\"o}nch and Pavel Vrba",
year = "2013",
month = aug,
doi = "10.1007/978-3-642-40090-2_12",
language = "English",
isbn = "9783642400896",
volume = "8062",
series = "Lecture Notes in Artificial Intelligence",
publisher = "Springer Nature",
pages = "128--139",
booktitle = "Industoaal Applications of Hologonic and Multi-Agent Systems",
address = "United States",
note = "6th International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2013 ; Conference date: 01-07-2013",
}