@inproceedings{161f186c25e24421958914644e1f75dd,
title = "Semantic Modeling Supporting Discrete Event Simulation for Aircraft Assembly Process",
abstract = "Aircraft assembly is a complex process associated with different stakeholders, which strongly impacts the R\&D cost for the entire aircraft lifecycle management. Traditional aircraft assembly process is designed based on a document-centric approach which cannot provide graphical notations for engineers to understand the entire assembly process. Moreover, it is difficult to make use of simulation to analyze the assembly process in an automatic way that increases the R\&D cost for the assembly process design. In this paper, a semantic modeling approach is proposed to support aircraft assembly process formalism and performance analysis of the entire assembly process. First, semantic modeling language KARMA is used to develop meta-models based on the basic elements of discrete event simulation model for aircraft assembly process modeling. After KARMA models are developed, ontology model is generated from KARMA models for implementing the automatic simulation execution by using the discrete event simulation.",
keywords = "Aircraft assembly, Discrete event simulation, KARMA language, Model-based systems engineering, Semantic modeling",
author = "Xiaodu Hu and Jinzhi Lu and Xiaochen Zheng and Rebeca Arista and Jyri Sorvari and Joachim Lentes and Fernando Ubis and Dimitris Kiritsis",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 21st International Symposium on Knowledge and Systems Sciences, KSS 2022 ; Conference date: 11-06-2022 Through 12-06-2022",
year = "2022",
doi = "10.1007/978-981-19-3610-4\_6",
language = "英语",
isbn = "9789811936098",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "83--98",
editor = "Jian Chen and Takashi Hashimoto and Xijin Tang and Jiangning Wu",
booktitle = "Knowledge and Systems Sciences - 21st International Symposium, KSS 2022, Proceedings",
address = "德国",
}