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dc.citation.conferencePlace KO -
dc.citation.conferencePlace Busan; South Korea -
dc.citation.endPage 151 -
dc.citation.startPage 138 -
dc.citation.title 3rd Asia Pacific Conference on Business Process Management, AP-BPM 2015 -
dc.citation.volume 219 -
dc.contributor.author Park, Minjeong -
dc.contributor.author Song, Minseok -
dc.contributor.author Baek, Tae Hyun -
dc.contributor.author Son, SookYoung -
dc.contributor.author Ha, Seung Jin -
dc.contributor.author Cho, Sung Woo -
dc.date.accessioned 2023-12-19T22:10:30Z -
dc.date.available 2023-12-19T22:10:30Z -
dc.date.created 2015-11-26 -
dc.date.issued 2015-06-24 -
dc.description.abstract Process analysis is one of the important topics in manufacturing industry. Recently process mining has been applied to analyze manufacturing processes. In this paper we investigate the characteristics of event logs in make-toorder production and propose a method to analyze manufacturing processes in make-to-order production such as construction, shipbuilding and aviation by utilizing and extending existing process mining techniques. Among three major analysis perspectives in process mining such as process discovery, performance analysis, and conformance checking, this paper focuses on the performance analysis including workload analysis and delay analysis. To validate the proposed method, a case study with real data is conducted. -
dc.identifier.bibliographicCitation 3rd Asia Pacific Conference on Business Process Management, AP-BPM 2015, v.219, pp.138 - 151 -
dc.identifier.doi 10.1007/978-3-319-19509-4_11 -
dc.identifier.isbn 978-3-319-19508-7 -
dc.identifier.issn 1865-1348 -
dc.identifier.scopusid 2-s2.0-84946843654 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/18399 -
dc.identifier.url http://link.springer.com/chapter/10.1007%2F978-3-319-19509-4_11 -
dc.language 영어 -
dc.publisher AP-BPM -
dc.title Workload and delay analysis in manufacturing process using process mining -
dc.type Conference Paper -
dc.date.conferenceDate 2015-06-24 -

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