How to Manage and Model Unstructured Business Processes: A Proposed List of Representational Requirements

Recent advancements in technology have enabled businesses to automate their structured business processes, thus requiring minimum intervention from end-users. This has shifted attention towards less structured processes, which are ad-hoc, often undocumented and demand frequent human decision-making. These processes are referred to as Unstructured Business Processes (UBP). Currently available tools and technologies are mainly focused on structured processes and therefore not optimally suited for management of UBP. With a representative example, we performed an experiment to compare and assess the ability of existing process support paradigms, i.e. Business Process Management and Case Management, to manage UBP. Moreover, we also investigated the limitations of Business Process Model and Notation (BPMN) and Case Management Model and Notation (CMMN) for modeling UBP. Based on our findings, a set of requirements are derived that are needed for optimally managing and modeling UBP. These requirements allow to express end-to-end business processes while providing flexibility for run-time changes. The requirements are also demonstrated with a possible extension of BPMN.

[1]  Marlon Dumas,et al.  Unraveling Unstructured Process Models , 2010, BPMN.

[2]  Richard Hull,et al.  Data Centric BPM and the Emerging Case Management Standard: A Short Survey , 2012, Business Process Management Workshops.

[3]  Manfred Reichert,et al.  Investigating the effort of using business process management technology: Results from a controlled experiment , 2010, Sci. Comput. Program..

[4]  Selmin Nurcan,et al.  The Old Therapy for the New Problem: Declarative Configurable Process Specifications for the Adaptive Case Management Support , 2010, Business Process Management Workshops.

[5]  Claudio Di Ciccio,et al.  Knowledge-Intensive Processes: Characteristics, Requirements and Analysis of Contemporary Approaches , 2015, Journal on Data Semantics.

[6]  Rik Eshuis,et al.  Converting unstructured into semi-structured process models , 2016, Data Knowl. Eng..

[7]  Wil M. P. van der Aalst,et al.  Beyond workflow management: product-driven case handling , 2001, GROUP.

[8]  Hans Eriksson,et al.  Business Modeling With UML: Business Patterns at Work , 2000 .

[9]  Sandy Kemsley,et al.  The Changing Nature of Work: From Structured to Unstructured, from Controlled to Social , 2011, BPM.

[10]  Keith D. Swenson,et al.  Demo: Cognoscenti Open Source Software for Experimentation on Adaptive Case Management Approaches , 2014, 2014 IEEE 18th International Enterprise Distributed Object Computing Conference Workshops and Demonstrations.

[11]  Zaharah Allah Bukhsh,et al.  BPMN Plus : a modelling language for unstructured business processes , 2015 .

[12]  Agnieszka Grudzińska-Kuna SUPPORTING KNOWLEDGE WORKERS: CASE MANANGEMENT MODEL AND NOTATION (CMMN) , 2013 .

[13]  Florian Matthes,et al.  Examining Adaptive Case Management to Support Processes for Enterprise Architecture Management , 2014, 2014 IEEE 18th International Enterprise Distributed Object Computing Conference Workshops and Demonstrations.

[14]  John Mylopoulos,et al.  Modeling Structured and Unstructured Processes: An Empirical Evaluation , 2016, ER.

[15]  Mathias Weske,et al.  Case handling: a new paradigm for business process support , 2005, Data Knowl. Eng..

[16]  James Bessen Open Source Software , 2006 .

[17]  Manfred Reichert,et al.  Towards a System Support of Collaborative Knowledge Work , 2012, Business Process Management Workshops.

[18]  Vera Künzle,et al.  Enhancing the Case Handling Paradigm to Support Object-aware Processes , 2013, SIMPDA.

[19]  Marten van Sinderen,et al.  Understanding Modeling Requirements of Unstructured Business Processes , 2017, ICE-B.

[20]  Knut Hinkelmann,et al.  Business Process Flexibility and Decision-Aware Modeling - The Knowledge Work Designer , 2016, Domain-Specific Conceptual Modeling.

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