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Applying Process Mining in a Multilevel Variants Analysis on Collaborative Sales to Cash Activities


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Organizations invest many resources and time for improving business process and cooperative work. Traditional process mapping requires a lot of effort to diagnostic performance issues and to understand the main causes of losses. Process mining emerges as a new discipline focused on analyzing process based on real event data aimed to automate discovery of process models; to check conformance and to extend models performance or resource analysis. This paper combines a discovery process mining and a process variant clustering algorithm, focused on obtaining knowledge for a top-down navigation concerning performance cause analysis. An applied industry case was conducted to verify the proposed techniques using a dataset extracted from an ERP. From the results obtained, it was possible to identify the main performance losses segregated by process variants.

Item Type: Paper presented at a conference, workshop or other event, and published in the proceedings
Uncontrolled Keywords: Process Variants clustering, Process Mining, Applied Case
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Schools > Centre for Business, Information Technology and Enterprise > School of Information Technology
Depositing User: Arthur Do Valle
Date Deposited: 17 Sep 2019 01:16
Last Modified: 21 Jul 2023 08:22

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