Name
Title | ||
|---|---|---|
Applying Process Mining in a Multilevel Variants Analysis on Collaborative Sales to Cash Activities |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/CSCWD.2019.8791902 | 2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design (CSCWD) |
Keywords | DocType | ISBN |
Process Variants clustering,Process Mining,Applied Case | Conference | 978-1-7281-0351-8 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cleiton dos Santos Garcia | 1 | 4 | 1.39 |
| Rodrigo Vaz Pina Cabral Silva | 2 | 0 | 0.34 |
| Alex Meincheim | 3 | 3 | 1.05 |
| Arthur Maria do Valle | 4 | 0 | 0.34 |
| Milton Pires Ramos | 5 | 0 | 0.34 |
| Edson Emílio Scalabrin | 6 | 36 | 14.52 |