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

dos Santos Garcia, Cleiton and Vaz Pina Cabral Silva, Rodrigo and Meincheim, Alex and Valle, Arthur M. and Pires Ramos, Milton and Scalabrin, Edson Emílio (2019) Applying Process Mining in a Multilevel Variants Analysis on Collaborative Sales to Cash Activities. 2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design (CSCWD), Porto, Portugal, 6-8 May, 2019.

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Abstract or Summary

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
Keywords that describe the item: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
ID Code:6913
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Deposited On:17 Sep 2019 01:16
Last Modified:12 Jan 2020 23:30

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