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A study on the improvement of explosion-proof inspection process using process mining

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초록

Because the offshore plant production process is extremely complicated, there are many difficulties in quality control and delivery schedule compliance. In particular, to prevent catastrophic offshore plant explosion accidents, most offshore plants since 2010 have implemented explosion-proof inspections based on IEC 60079. However, there has been little research on the improve-ment of such processes, and there is also a lack of experience in explosion-proof inspection in Korea. Therefore, in this study, the explosion-proof inspection process was analyzed by process mining using data from a quality management system. The cause of process delay was determined, and the explosion-proof inspection process was improved through an improvement algorithm. In addi-tion, it was found that cost savings, an increase in productivity, and progress improvement can be achieved throughout the entirety of the project.

Abstract

Because the offshore plant production process is extremely complicated, there are many difficulties in quality control and delivery schedule compliance. In particular, to prevent catastrophic offshore plant explosion accidents, most offshore plants since 2010 have implemented explosion-proof inspections based on IEC 60079. However, there has been little research on the improve-ment of such processes, and there is also a lack of experience in explosion-proof inspection in Korea. Therefore, in this study, the explosion-proof inspection process was analyzed by process mining using data from a quality management system. The cause of process delay was determined, and the explosion-proof inspection process was improved through an improvement algorithm. In addi-tion, it was found that cost savings, an increase in productivity, and progress improvement can be achieved throughout the entirety of the project.

참고문헌 (7)

  1. 박중구, "해양플랜트 배관재 공정관리 방법에 관한 연구", 대한조선학회 논문집, 55(2), pp.124~135 (2018), 대한조선학회[DOI]
  2. 김봉주, "해양플랜트 폭발사고 위험도 평가", 관리를 위한 실증시험기법에 관한 연구, 2018, pp.55(3), 215~221[DOI]
  3. 오병근, "해양플랜트 Topsides 화재 위험도 평가에 관한 연구 : 화재 발생빈도 해석", 석사, 조선해양공학, pp.2010
  4. Trends in Process Mining Technology for Big Data Analy-sis, No.62, , Korea Communications Agency, ~ (2014)
  5. 이동하, "프로세스 마이닝을 이용한 조선 산업의 생산 공정 분석", 박사, 산업공학과, pp.2014
  6. H. R. Bae, "Big Data Analysis Trends and Cases of Pro-duction Operations Using Process Mining", Korean Insti-tute of Industrial Engineers, 22(2), pp.36~42 (2015)
  7. "IEC 60079", International Electrotechnical Commission, IEC 60079-17, ~ (2013)

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