Goal-heuristic analysis method for an adaptive process mining

Abstract

Because of the rapid changes in the market environment and the uncertain demands from the customers, the investment in the information system by the corporate is increasing. This also resulted in the adoption of the process management system, which is intended for the adaptation to the speed of such changes, creation of competitiveness, and systematic management of the business process. To process the service demands from the customers that come in a dynamic manner, an analysis on the possible scope of changes on the recognition of the problems will be required, as well as the concept of data mining to redesign the process based on the adaptive decisions. The existing workflow mining technology was designed to extract business process redesign information from simple database fields or create a process model by collecting, identifying, and analyzing log information from the system that it could not be dynamically reconfigured by exploring the process flow suitable for new requests made on business process. In this study, an analytical method will be suggested using a heuristic algorithm based on the goals to create an adaptive process mining model that could provide a continuous service demand scenario that is created dynamically.