Comprehensive Business Process Management through Observation and Navigation

Most real-world business processes involve a combination of both well-defined and previously modelled as well as unforeseen and therefor unmodelled scenarios. The goal of comprehensive process management should be to cover all actually performed processes by accurate models so that they may be fully supported by IT systems. Unmodelled processes can be observed by the Process Observation system which generates models reflecting the recorded behaviour. Modelled processes may be of different natures: while so-called “automation” processes involve little human participation and mainly orchestrate services and applications, so-called “knowledge-intensive” processes are based on human expert participation. Both types of models may be enacted by the Process Navigation system. This contribution introduces the integration of both systems which leads to an approach for supporting the full range from unmodelled processes to both automation and knowledge-intensive processes as well as the transition from unmodelled to modelled processes.

[1]  Mohamed Zairi,et al.  Business process management: a boundaryless approach to modern competitiveness , 1997, Bus. Process. Manag. J..

[2]  Stefan Jablonski,et al.  Improving collaborative business process execution by traceability and expressiveness , 2012, 8th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom).

[3]  Keith D. Swenson,et al.  Mastering the Unpredictable: How Adaptive Case Management Will Revolutionize the Way That Knowledge Workers Get Things Done , 2010 .

[4]  Evelina Lamma,et al.  Exploiting Inductive Logic Programming Techniques for Declarative Process Mining , 2009, Trans. Petri Nets Other Model. Concurr..

[5]  Wil M. P. van der Aalst,et al.  Transactions on Petri Nets and Other Models of Concurrency II, Special Issue on Concurrency in Process-Aware Information Systems , 2009, Trans. Petri Nets and Other Models of Concurrency.

[6]  Maria E. Orlowska,et al.  Specification and validation of process constraints for flexible workflows , 2005, Inf. Syst..

[7]  Heikki Mannila,et al.  Discovery of Frequent Episodes in Event Sequences , 1997, Data Mining and Knowledge Discovery.

[8]  Wil M. P. van der Aalst,et al.  Declarative Workflow , 2010, Modern Business Process Automation.

[9]  Ramakrishnan Srikant,et al.  Mining Sequential Patterns: Generalizations and Performance Improvements , 1996, EDBT.

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

[11]  Stefan Jablonski,et al.  Process Discovery and Guidance Applications of Manually Generated Logs , 2012 .

[12]  Wil M. P. van der Aalst,et al.  DECLARE Demo: A Constraint-based Workflow Management System , 2009, BPM.

[13]  Tony Andrews Business Process Execution Language for Web Services Version 1.1 , 2003 .

[14]  Stefan Jablonski,et al.  Dynamic guidance enhancement in workflow management systems , 2012, SAC '12.

[15]  Matjaz B. Juric,et al.  Business process execution language for web services , 2004 .

[16]  Manfred Reichert,et al.  The ADEPT project: a decade of research and development for robust and flexible process support , 2009, Computer Science - Research and Development.

[17]  Jan Mendling,et al.  Business Process Execution Language for Web Services , 2006, EMISA Forum.

[18]  Jan Mendling,et al.  Declarative versus Imperative Process Modeling Languages: The Issue of Understandability , 2009, BMMDS/EMMSAD.

[19]  Stefan Jablonski,et al.  Discovering Cross-Perspective Semantic Definitions from Process Execution Logs , 2012 .

[20]  Stefan Jablonski,et al.  Adapting association rule mining to discover patterns of collaboration in process logs , 2012, 8th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom).

[21]  Jesus Favela,et al.  Groupware: Design, Implementation, and Use , 2003, Lecture Notes in Computer Science.

[22]  Mark von Rosing,et al.  Business Process Model and Notation - BPMN , 2015, The Complete Business Process Handbook, Vol. I.

[23]  M Maja Pesic,et al.  Constraint-based workflow management systems : shifting control to users , 2008 .

[24]  Michael Westergaard,et al.  Better Algorithms for Analyzing and Enacting Declarative Workflow Languages Using LTL , 2011, BPM.

[25]  Jacques Wainer,et al.  Constraint-Based Flexible Workflows , 2003, CRIWG.

[26]  Wil M. P. van der Aalst,et al.  Process Mining - Discovery, Conformance and Enhancement of Business Processes , 2011 .

[27]  Michael zur Muehlen,et al.  Risk Management in the BPM Lifecycle , 2005, Business Process Management Workshops.

[28]  Stefan Jablonski,et al.  Process observation as support for evolutionary process engineering , 2012 .