Unifying multi-level business process discovered by Heuristic miner Algorithm

• Main Authors: Hung-Hao Chen, 陳弘皓
• Other Authors: Ping-Yu Hsu
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/55049846519465062361

碩士 === 國立中央大學 === 工業管理研究所 === 101 === In recent years, many companies use the process mining techniques in the management. The companies will use the process mining techniques to derive the business model. When the Business model and the real process do not match, it means that there may be a risk inside the companies and it also shows the lack of internal controls that may exist. In the past research, conformance checking focused on the difference between event logs and business model. But in this research, when checking the process in the event logs, there are different grains of process in the same event logs. It can represent the process from grain 1 to grain n according to the event logs, and the lower of grains means the finer of process. When using the process in event logs to mine the business model, it shows that using different grains of process from same event logs will mine out different business model. The purpose in this research is solving the problem that different grains of process from the same event logs will mine the different business model by using the dependency threshold of Heuristic Miner Algorithm. This research use the event logs from a stone processing industry for case verification. By setting two different grains of process, the business model of fine and coarse to compare the consistency. If giving the dependency threshold and consistent ratio from one of business model, the system will automatically give another grain of the business model dependency threshold.