Interactive Business Process Comparison Using Conformance and Performance Insights - A Tool

被引:0
|
作者
Pourbafrani, Mahsa [1 ]
Rafiei, Majid [1 ]
Berti, Alessandro [1 ,2 ]
van der Aalst, Wil M. P. [1 ,2 ]
机构
[1] Proc & Data Sci Grp RWTH Aachen, Aachen, Germany
[2] Fraunhofer Inst Technol FIT, St Augustin, Germany
来源
RESEARCH CHALLENGES IN INFORMATION SCIENCE | 2022年 / 446卷
关键词
Process mining; Event logs; Comparison visualization; Performance spectrum; Earth mover's distance;
D O I
10.1007/978-3-031-05760-1_50
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Process mining techniques make the underlying processes in organizations transparent. Historical event data are used to perform conformance checking and performance analyses. Analyzing a single process and providing visual insights has been the focus of most process mining techniques. However, comparing two processes or a single process in different situations is essential for process improvement. Different approaches have been proposed for process comparison. However, most of the techniques are either relying on the aggregated KPIs or their comparisons are based on process models, i.e., the flow of activities. Existing techniques are not able to provide understandable and insightful results for process owners. The current paper describes a tool that provides aggregated and detailed comparisons of two processes starting from their event logs using innovative visualizations. The visualizations provided by the tool are interactive. We exploit some techniques recently proposed in the literature, e.g., stochastic conformance checking and the performance spectrum, for conformance and performance comparison.
引用
收藏
页码:735 / 743
页数:9
相关论文
共 50 条
  • [31] Online conformance checking: relating event streams to process models using prefix-alignments
    Sebastiaan J. van Zelst
    Alfredo Bolt
    Marwan Hassani
    Boudewijn F. van Dongen
    Wil M. P. van der Aalst
    International Journal of Data Science and Analytics, 2019, 8 : 269 - 284
  • [32] Online conformance checking: relating event streams to process models using prefix-alignments
    van Zelst, Sebastiaan J.
    Bolt, Alfredo
    Hassani, Marwan
    van Dongen, Boudewijn F.
    van der Aalst, Wil M. P.
    INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS, 2019, 8 (03) : 269 - 284
  • [33] Toward a Pattern-Based Comprehensive Framework Using Process Mining for RBAC Conformance Checks
    Nguyen, Duc-Hieu
    Sei, Yuichi
    Tahara, Yasuyuki
    Ohsuga, Akihiko
    INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING, 2025, 35 (02) : 157 - 194
  • [34] How Business Process Benchmarks Enable Organizations To Improve Performance
    Aksu, Unal
    Reijers, Hajo A.
    2020 IEEE 24TH INTERNATIONAL ENTERPRISE DISTRIBUTED OBJECT COMPUTING CONFERENCE (EDOC 2020), 2020, : 197 - 208
  • [35] Discovering Causal Factors Explaining Business Process Performance Variation
    Hompes, Bart F. A.
    Maaradji, Abderrahmane
    La Rosa, Marcello
    Dumas, Marlon
    Buijs, Joos C. A. M.
    van der Aalst, Wil M. P.
    ADVANCED INFORMATION SYSTEMS ENGINEERING (CAISE 2017), 2017, 10253 : 177 - 192
  • [36] SIMPT: Process Improvement Using Interactive Simulation of Time-Aware Process Trees
    Pourbafrani, Mahsa
    Jiao, Shuai
    van der Aalst, Wil M. P.
    RESEARCH CHALLENGES IN INFORMATION SCIENCE (RCIS 2021), 2021, 415 : 588 - 594
  • [37] Redesigning Business Process to Comply with the New Revenue Recognition Standard Using Process Mining
    Wang, Yunsen
    Chiu, Tiffany
    Chiu, Victoria
    JOURNAL OF EMERGING TECHNOLOGIES IN ACCOUNTING, 2020, 17 (01) : 149 - 163
  • [38] An Approach to Business Process Simulation using Mined Probabilistic Models
    Savickas, Titas
    Vasilecas, Olegas
    COMPUTER SCIENCE AND INFORMATION SYSTEMS, 2018, 15 (01) : 31 - 50
  • [39] Analysis of Business Process Batching Using Causal Event Models
    Waibel, Philipp
    Novak, Christian
    Bala, Saimir
    Revoredo, Kate
    Mendling, Jan
    PROCESS MINING WORKSHOPS, ICPM 2020 INTERNATIONAL WORKSHOPS, 2021, 406 : 17 - 29
  • [40] Business Process Reporting Using Process Mining, Analytic Workflows and Process Cubes: A Case Study in Education
    Bolt, Alfredo
    de Leoni, Massimiliano
    van der Aalst, Wil M. P.
    Gorissen, Pierre
    DATA-DRIVEN PROCESS DISCOVERY AND ANALYSIS, SIMPDA 2015, 2017, 244 : 28 - 53