Using process mining to measure the expected costs of business processes

Bo Hsiao, Lihchyun Shu, Michal Young, Hsueh Ching Yang

研究成果: Conference contribution

摘要

Process mining is a means to extract hidden information from the event logs accumulated by the information systems that drive increasingly complex business processes, potentially improving their manageability. Traditional process mining is used mainly to extract a useful description of how an enterprise's processes actually work (as versus how they are documented to work), usually presented in the form of a flowchart. To the best of our best knowledge, previous process mining techniques have not used available information on duration and frequency of portions of a business process. We propose a method that combines process mining with Bayes' Theorem to augment a mined model with probabilities information. This additional information increases the value of the mined model and can be used not only in making predictions, but also in making decisions. Together with activity-based costing that assigns some cost to each activity in a process, our process mining technique can measure the expected costs of different stages in the process to support improvement of the underlying processes. We apply our approach to a chip probing process of a semiconductor firm in Taiwan. Our results confirm that the proposed approach could improve company decisions regarding their internal supply chain management.

原文English
主出版物標題Pacific Asia Conference on Information Systems, PACIS 2016 - Proceedings
發行者Pacific Asia Conference on Information Systems
ISBN(電子)9789860491029
出版狀態Published - 2016 一月 1
事件20th Pacific Asia Conference on Information Systems, PACIS 2016 - Chiayi, Taiwan
持續時間: 2016 六月 272016 七月 1

出版系列

名字Pacific Asia Conference on Information Systems, PACIS 2016 - Proceedings

Other

Other20th Pacific Asia Conference on Information Systems, PACIS 2016
國家Taiwan
城市Chiayi
期間16-06-2716-07-01

    指紋

All Science Journal Classification (ASJC) codes

  • Information Systems

引用此

Hsiao, B., Shu, L., Young, M., & Yang, H. C. (2016). Using process mining to measure the expected costs of business processes. 於 Pacific Asia Conference on Information Systems, PACIS 2016 - Proceedings (Pacific Asia Conference on Information Systems, PACIS 2016 - Proceedings). Pacific Asia Conference on Information Systems.