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프로세스 마이닝 기법을 이용한 해양플랜트 배관재 제작 공정 관리 방법에 관한 연구 : A Study on Process Management Method of Offshore Plant Piping Material using Process Mining Technique

DC Field Value Language
dc.contributor.author박중구-
dc.contributor.author김민규-
dc.contributor.author우종훈-
dc.date.accessioned2023-12-11T05:25:32Z-
dc.date.available2023-12-11T05:25:32Z-
dc.date.created2020-07-08-
dc.date.issued2019-04-
dc.identifier.citation대한조선학회 논문집, Vol.56 No.2, pp.143-151-
dc.identifier.issn1225-1143-
dc.identifier.urihttps://hdl.handle.net/10371/198234-
dc.description.abstractThis study describes a method for analyzing log data generated in a process using process mining techniques. A system for collecting and analyzing a large amount of log data generated in the process of manufacturing an offshore plant piping material was constructed. The analyzed data was visualized through various methods. Through the analysis of the process model, it was evaluated whether the process performance was correctly input. Through the pattern analysis of the log data, it is possible to check beforehand whether the problem process occurred. In addition, we analyzed the process performance data of partner companies and identified the load of their processes. These data can be used as reference data for pipe production allocation.
Real-time decision-making is required to cope with the various variances that arise in offshore plant production. To do this, we have built a system that can analyze the log data of real - time system and make decisions.
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dc.language한국어-
dc.publisher대한조선학회-
dc.title프로세스 마이닝 기법을 이용한 해양플랜트 배관재 제작 공정 관리 방법에 관한 연구-
dc.title.alternativeA Study on Process Management Method of Offshore Plant Piping Material using Process Mining Technique-
dc.typeArticle-
dc.identifier.doi10.3744/SNAK.2019.56.2.143-
dc.citation.journaltitle대한조선학회 논문집-
dc.citation.endpage151-
dc.citation.number2-
dc.citation.startpage143-
dc.citation.volume56-
dc.identifier.kciidART002457903-
dc.description.isOpenAccessN-
dc.contributor.affiliatedAuthor우종훈-
dc.type.docTypeArticle-
dc.description.journalClass2-
dc.subject.keywordAuthorProcess mining(프로세스 마이닝), Log data analysis(로그 데이터 분석), Supply management of piping materials(배관재 공급 관리)-
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