Earticle

초록

영어

Recently, enterprise information systems accumulate business events in log files. Such event logs enable analysts to keep the track of conducted tasks and context in business process execution. Process mining techniques are widely used to understand and analyze the event logs, considering their underlying business process. This research introduces a technique for bottleneck identification in business process using process mining and process capacity theory. Trace clustering is also applied to divide process instances in the event log into several process models which contain similar behaviors. The proposed technique is illustrated through experiments using real-world event logs which were collected from repair service execution in a telecom company.

목차

Abstract
1. Introduction
2. Framework
2.1. Trace clustering
2.2. Process model discovery
2.3. Process bottleneck
3. Bottleneck Identification
3.1. Data description
3.2. Process capacity
4. Experiment Results
5. Conclusion
References

키워드

저자

• Gwangjin Heo [ Department of Industrial and Management Systems Engineering, Kyung Hee University ]
• Jinsung Lee [ Department of Industrial and Management Systems Engineering, Kyung Hee University ]
• Jae-Yoon Jung [ Department of Industrial and Management Systems Engineering, Kyung Hee University ] 교신저자

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  정보화연구 [정보화연구(구 정보기술아키텍처연구)]

• 간기

  계간

• pISSN

  1738-382X

• 수록기간

  2004~2026

• 등재여부

  KCI 등재

• 십진분류

  KDC 325 DDC 658