Recent research on critical failure factors (CFFs) in ERP projects shows that the discovery and implementation of organizational processes are among the top seven main groups of CFFs. In this paper, a hybrid process mining and FMEA framework is presented to quantify the risk factors associated with process non-conformance. This approach is designed to increase the effectiveness of implementing ERP solutions in organizations, based on the identification and assessment of business process risks using the FMEA methodology. This study contributes by enhancing the BPM life cycle using process mining algorithms. To validate the proposed approach, a case study is conducted on the warehousing and logistics management process in one of the largest grain trading companies in Iran. The results of the research show that the use of the proposed approach can reduce the RPN of this process from 336 to 16 thus increasing the effectiveness of the ERP solution deployed.
Improving the effectiveness of Enterprise Resource Planning (ERP) system implementation using a hybrid process mining and FMEA framework
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