Enhancing Organizational Efficiency and Effectiveness: A Process Mining Approach

Optimizing operational processes and resource management is paramount in today's rapidly evolving business landscape. This paper comprehensively explores travel authorization workflows within organizations, utilizing Process Mining supported by the Fuzzy Miner Algorithm of the Fluxicon Disco platform/tool. The study delves into the intricate network of travel approval procedures, unearthing key insights to enhance efficiency and improve resource utilization effectively. The investigation encompasses an analysis of the time required for approval and the factors influencing the authorization process, including permissions, resources, activities, and individual roles. Two primary models emerge: the first model focuses on the overall workflow, while the second scrutinizes roles and positions related to the approval activities. Our results reveal critical bottlenecks, such as the “Permit Final Approved by Supervisor” phase, where processes can loop back, causing significant delays and time wastage. The study also identifies resource-intensive roles, including “Director” and “Pre_Approver,” as substantial contributors to prolonged approval durations. Recommendations center on shortening and optimizing processes and establishing standardized “Stand Time” criteria for each role by utilizing statistical data such as Mean Duration or Median Duration to determine appropriate timeframes for each Organization Role. Leveraging statistical data and Fuzzy Miner algorithms enables organizations to expedite decision-making, reduce processing times, and ensure prompt approvals. Consequently, this study serves as a valuable guide for businesses aiming to streamline their operations and align processes with organizational goals. By harnessing Process Mining techniques, organizations can unlock the potential for enhanced efficiency and resource management within travel authorization workflows.