Model Consolidation: A Process Modelling Method Combining Process Mining and Business Process Modelling

被引:2
|
作者
Cela, Ornela [1 ]
Front, Agnes [1 ]
Rieu, Dominique [1 ]
机构
[1] Univ Grenoble Alpes, CNRS, Grenoble INP, LIG, F-38000 Grenoble, France
关键词
Process analysis; Business process modelling and process mining;
D O I
10.1007/978-3-319-91704-7_8
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Analysing the current state of a process is a crucial step when improving the process. Four elements are defined during the process analysis: the objective, the process model, the indicators and the blocking points. It is important to well-define all of them when characterizing a process state, however the process model has a more fundamental influence. This model provides a map upon which is done the analysis of the process state, prediction of its evolution and simulation of the impact of the change to be undertaken for improving the process. In this work we are proposing a strategy for the model consolidation, that combines the process discovery and business process modeling approach. This strategy aims to merge the models derived by these existing approaches in one unique model that is complete, comprehensive, aligned to the reality and useful for in-depth analysis. This article describes the model consolidation strategy by detailing the steps to be taken and illustrating its usage into a real-life process provided from our industrial collaborator Net Invaders [19].
引用
收藏
页码:117 / 130
页数:14
相关论文
共 50 条
  • [1] Business modelling is not process modelling
    Gordijn, Jaap
    Akkermans, Hans
    Van Vliet, Hans
    [J]. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2000, 1921 : 40 - 51
  • [2] Business modelling is not process modelling
    Gordijn, J
    Akkermans, H
    Van Vliet, H
    [J]. CONCEPTUAL MODELING FOR E-BUSINESS AND THE WEB, PROCEEDINGS, 2000, 1921 : 40 - 51
  • [3] Process Mining as a Modelling Tool: Beyond the Domain of Business Process Management
    Cerone, Antonio
    [J]. SOFTWARE ENGINEERING AND FORMAL METHODS (SEFM 2015), 2015, 9509 : 139 - 144
  • [4] Process Duration Modelling and Concept Drift Detection for Business Process Mining
    Yang, Lingkai
    McClean, Sally
    Donnelly, Mark
    Burke, Kevin
    Khan, Kashaf
    [J]. 2021 IEEE SMARTWORLD, UBIQUITOUS INTELLIGENCE & COMPUTING, ADVANCED & TRUSTED COMPUTING, SCALABLE COMPUTING & COMMUNICATIONS, INTERNET OF PEOPLE, AND SMART CITY INNOVATIONS (SMARTWORLD/SCALCOM/UIC/ATC/IOP/SCI 2021), 2021, : 653 - 658
  • [5] Business Process Management - Process Modelling
    Kupka, Tomas
    Zelena, Veronika
    [J]. VISION 2020: INNOVATION MANAGEMENT, DEVELOPMENT SUSTAINABILITY, AND COMPETITIVE ECONOMIC GROWTH, 2016, VOLS I - VII, 2016, : 3229 - 3235
  • [6] Process mining approach to formal business process modelling and verification: a case study
    Ito, Sohei
    Vymetal, Dominik
    Sperka, Roman
    [J]. JOURNAL OF MODELLING IN MANAGEMENT, 2021, 16 (02) : 602 - 622
  • [7] Business Process Knowledge Modelling: Method and tool
    Papavassiliou, G
    Ntioudis, S
    Mentzas, G
    Abecker, A
    [J]. 13TH INTERNATIONAL WORKSHOP ON DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS, 2002, : 138 - 142
  • [8] Combining process modelling methods
    Abeysinghe, G
    Phalp, K
    [J]. INFORMATION AND SOFTWARE TECHNOLOGY, 1997, 39 (02) : 107 - 124
  • [9] Sequence constraints in business modelling and business process modelling
    Snoeck, M
    [J]. ENTERPRISE INFORMATION SYSTEMS IV, 2002, : 194 - 201
  • [10] Value process and business process in e-business modelling
    Dewan, MN
    Wu, BL
    Yang, Y
    [J]. Challenges of Expanding Internet: E-Commerce, E-Business, and E-Government, 2005, 189 : 1 - 15