Business process mining: An industrial application

Contemporary information systems (e.g., WfM, ERP, CRM, SCM, and B2B systems) record business events in so-called event logs. Business process mining takes these logs to discover process, control, data, organizational, and social structures. Although many researchers are developing new and more powerful process mining techniques and software vendors are incorporating these in their software, few of the more advanced process mining techniques have been tested on real-life processes. This paper describes the application of process mining in one of the provincial offices of the Dutch National Public Works Department, responsible for the construction and maintenance of the road and water infrastructure. Using a variety of process mining techniques, we analyzed the processing of invoices sent by the various subcontractors and suppliers from three different perspectives: (1) the process perspective, (2) the organizational perspective, and (3) the case perspective. For this purpose, we used some of the tools developed in the context of the ProM framework. The goal of this paper is to demonstrate the applicability of process mining in general and our algorithms and tools in particular.

[1]  Fabio Casati,et al.  Business Process Cockpit , 2002, VLDB.

[2]  Alexander L. Wolf,et al.  Discovering models of software processes from event-based data , 1998, TSEM.

[3]  Wil M. P. van der Aalst,et al.  Rediscovering workflow models from event-based data using little thumb , 2003, Integr. Comput. Aided Eng..

[4]  Fabio Casati,et al.  Business Process Intelligence , 2018, Encyclopedia of Social Network Analysis and Mining. 2nd Ed..

[5]  Hajo A. Reijers,et al.  Discovering Social Networks from Event Logs , 2005, Computer Supported Cooperative Work (CSCW).

[6]  Julius T. Tou,et al.  Information Systems , 1973, GI Jahrestagung.

[7]  J. Nunamaker,et al.  Proceedings of the 32nd Hawaii International Conference on System Sciences , 1999 .

[8]  Wil M. P. van der Aalst,et al.  Workflow mining: discovering process models from event logs , 2004, IEEE Transactions on Knowledge and Data Engineering.

[9]  Hiroaki Ogata,et al.  Computer Supported Social Networking For Augmenting Cooperation , 2001, Computer Supported Cooperative Work (CSCW).

[10]  Jeff A. Johnson,et al.  Integrating communication and information through ContactMap , 2002, CACM.

[11]  H. Jennings,et al.  Who Shall Survive , 2007 .

[12]  Hajo A. Reijers,et al.  The effectiveness of workflow management systems: Predictions and lessons learned , 2005, Int. J. Inf. Manag..

[13]  Shelly Farnham,et al.  Wallop: designing social software for co-located social networks , 2004, 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.

[14]  John Mylopoulos,et al.  Workflow Management Models , Methods , and Systems , 2002 .

[15]  Fabio Casati,et al.  Improving Business Process Quality through Exception Understanding, Prediction, and Prevention , 2001, VLDB.

[16]  Boudewijn F. van Dongen,et al.  A Meta Model for Process Mining Data , 2005, EMOI-INTEROP.

[17]  Wil M.P. van der Aalst,et al.  Workflow mining: discovering workflow models from event-based data , 2002 .

[18]  Guy P. Lander.  What is Sarbanes-Oxley? , 2003 .

[19]  Wil M. P. van der Aalst,et al.  Process mining: a research agenda , 2004, Comput. Ind..

[20]  International Conference on Engineering and Deployment of Cooperative Information Systems (EDCIS2002) , 2008, Journal of Computer Science and Technology.

[21]  D. L. Flarey.  Reengineering the Corporation , 1994 .

[22]  Kees M. van Hee,et al.  Workflow Management: Models, Methods, and Systems , 2002, Cooperative information systems.

[23]  P. Bonacich.  Power and Centrality: A Family of Measures , 1987, American Journal of Sociology.

[24]  Dragos Manolescu,et al.  Production workflow: concepts and techniques , 2001, SOEN.

[25]  Michael Rosemann,et al.  Workflow-based process monitoring and controlling-technical and organizational issues , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[26]  Joachim Herbst,et al.  A Machine Learning Approach to Workflow Management , 2000, ECML.

[27]  Boudewijn F. van Dongen,et al.  The ProM Framework: A New Era in Process Mining Tool Support , 2005, ICATPN.

[28]  John C. Tang,et al.  Work rhythms: analyzing visualizations of awareness histories of distributed groups , 2002, CSCW '02.

[29]  Thomas Teufel,et al.  Sap R/3 Process Oriented Implementation , 1998 .

[30]  J. Davenport.  Editor , 1960 .

[31]  Paul Dourish,et al.  Social and temporal structures in everyday collaboration , 2004, CHI.

[32]  John Scott.  What is social network analysis , 2010 .

[33]  T. D. Fletcher,et al.  Web Services Choreography Description Language Version 1.0, W3C , 2004 .

[34]  Boudewijn F. van Dongen,et al.  Workflow mining: A survey of issues and approaches , 2003, Data Knowl. Eng..

[35]  Lars G Fischer.  Workflow Handbook 2002, Workflow Management Coalition , 2002 .

[36]  Wil M. P. van der Aalst,et al.  Mining Social Networks: Uncovering Interaction Patterns in Business Processes , 2004, Business Process Management.

[37]  Peter Dadam,et al.  Correctness criteria for dynamic changes in workflow systems - a survey , 2004, Data Knowl. Eng..

[38]  Christoph Bussler,et al.  Workflow Management: Modeling Concepts, Architecture and Implementation , 1996 .

[39]  Stanley Wasserman,et al.  Social Network Analysis: Methods and Applications , 1994, Structural analysis in the social sciences.

[40]  Peter Lawrence.  Workflow Handbook 1997 , 1997 .

[41]  Yaron Goland,et al.  Web Services Business Process Execution Language , 2009, Encyclopedia of Database Systems.

[42]  James A. Hall,et al.  The Sarbanes-Oxley Act: Implications for large-scale IT outsourcing , 2007, Commun. ACM.

[43]  Wolfgang Reisig,et al.  Lectures on Petri Nets I: Basic Models , 1996, Lecture Notes in Computer Science.

[44]  Francisco Curbera,et al.  Web Services Business Process Execution Language Version 2.0 , 2007 .

[45]  Dimitrios Gunopulos,et al.  Mining Process Models from Workflow Logs , 1998, EDBT.

[46]  Hamid R. Nemati,et al.  Organizational Data Mining: Leveraging Enterprise Data Resources for Optimal Performance , 2003 .

[47]  Boudewijn F. van Dongen,et al.  Discovering Workflow Performance Models from Timed Logs , 2002, EDCIS.