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논문 기본 정보

저자정보
(삼성중공업) (삼성중공업) (서울대학교)
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대한조선학회 대한조선학회 논문집 대한조선학회논문집 제56권 제2호(통권 제224호)
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    초록·키워드

    This 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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      UCI(KEPA) : I410-ECN-0101-2019-538-000562049