Journal of Korean Institute of Industrial Engineers (대한산업공학회지)

Korean Institute of Industrial Engineers (대한산업공학회)
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Analysis Framework using Process Mining for Block Movement Process in Shipyards

조선 산업에서 프로세스 마이닝을 이용한 블록 이동 프로세스 분석 프레임워크 개발

  • Lee, Dongha (Central R&D Institute, Daewoo Shipbuilding and Marine Engineering Co., Ltd.) ;
  • Bae, Hyerim (Department of Industrial Engineering, Pusan National University)
  • 이동하 (대우조선해양(주) 중앙연구소) ;
  • 배혜림 (부산대학교 산업공학과)
  • Received : 2013.02.04
  • Accepted : 2013.05.14
  • Published : 2013.12.15
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Abstract

In a shipyard, it is hard to predict block movement due to the uncertainty caused during the long period of shipbuilding operations. For this reason, block movement is rarely scheduled, while main operations such as assembly, outfitting and painting are scheduled properly. Nonetheless, the high operating costs of block movement compel task managers to attempt its management. To resolve this dilemma, this paper proposes a new block movement analysis framework consisting of the following operations: understanding the entire process, log clustering to obtain manageable processes, discovering the process model and detecting exceptional processes. The proposed framework applies fuzzy mining and trace clustering among the process mining technologies to find main process and define process models easily. We also propose additional methodologies including adjustment of the semantic expression level for process instances to obtain an interpretable process model, definition of each cluster's process model, detection of exceptional processes, and others. The effectiveness of the proposed framework was verified in a case study using real-world event logs generated from the Block Process Monitoring System (BPMS).

Keywords

References

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