Simulation of Multi-Stage Industrial Business Processes Using Metamodelling Building Blocks with ADOxx

This paper introduces Industrial Business Process Management (IBPM) as a novel research direction for information science (IS) based on the European Commission’s project GO0DMAN. The project’s aim is to establish a knowledge-based, ICT-supported approach for IBPM using system’s engineering and optimization techniques realized by hybrid conceptual modelling methods. The contribution of this paper is a novel procedural framework that guides the design and development of such hybrid modelling methods. The framework comprises three abstraction levels: a) abstract metamodel building blocks – to define the abstract modelling language constructs and model processing capabilities required for domain aspects (e.g., in manufacturing: multi-stage, material, information and control flows); b) model & functional building blocks - as concrete modelling structures and analytical functionalities processing the models; and c) execution building blocks - a corresponding modelling and model processing environment implementation to support the modeller during the application. Composition and injection mechanisms on abstract building blocks enable efficient realization of concrete modelling and model processing capabilities by re-using and/or extending existing artefacts. Evaluation is performed by using the metamodelling platform ADOxx for a proof-of-concept implementation of a multi-stage manufacturing process simulation environment.

[1]  Dimitris Karagiannis,et al.  Metamodelling Platforms , 2002, EC-Web.

[2]  Dominik Bork,et al.  Tacit to explicit knowledge conversion , 2017, Cognitive Processing.

[3]  Heinrich C. Mayr,et al.  Towards Simulation-Based Quality Requirements Elicitation: A Position Paper , 2008, REFSQ.

[4]  Heinrich C. Mayr,et al.  Intuitive understanding of a modeling language , 2017, ACSW.

[5]  Robert Woitsch,et al.  Knowledge Engineering in Business Process Management , 2015, Handbook on Business Process Management.

[6]  Robert Woitsch,et al.  A Toolbox Supporting Agile Modelling Method Engineering: ADOxx.org Modelling Method Conceptualization Environment , 2016, PoEM.

[7]  Dimitris Karagiannis,et al.  On the Conceptualisation of Modelling Methods Using the ADOxx Meta Modelling Platform , 2013, Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model..

[8]  Dimitris Karagiannis,et al.  Service Modeling: A Model Based Approach for Business and It Alignment , 2011, 2011 IEEE 35th Annual Computer Software and Applications Conference Workshops.

[9]  Selmin Nurcan,et al.  Consistency requirements in business process modeling: a thorough overview , 2017, Software & Systems Modeling.

[10]  Wilfrid Utz,et al.  Industrial Business Process Management Using Adonis Towards a Modular Business Process Modelling Method for Zero-Defect-Manufacturing , 2017, 2017 International Conference on Industrial Engineering, Management Science and Application (ICIMSA).

[11]  Robert Woitsch,et al.  A new paradigm for the continuous alignment of business and IT: Combining enterprise architecture modelling and enterprise ontology , 2016, Comput. Ind..

[12]  Dominik Bork,et al.  Formal Aspects of Enterprise Modeling Methods: A Comparison Framework , 2014, 2014 47th Hawaii International Conference on System Sciences.

[13]  Dominik Bork,et al.  Managing Consistency in Multi-View Enterprise Models: an Approach based on Semantic Queries , 2016, ECIS.

[14]  Osamu Kimura,et al.  Desiǵn and analysis of Pull System, a method of multi-staǵe production control , 1981 .

[15]  Dimitris Karagiannis Agile modeling method engineering , 2015, Panhellenic Conference on Informatics.

[16]  Thomas H. Davenport,et al.  The New Industrial Engineering: Information Technology and Business Process Redesign , 2011 .

[17]  Dimitris Karagiannis,et al.  Towards Metamodelling-In-The-Large: Interface-Based Composition for Modular Metamodel Development , 2015, BMMDS/EMMSAD.

[18]  Dominik Bork,et al.  Preserving Multi-view Consistency in Diagrammatic Knowledge Representation , 2015, KSEM.

[19]  F. Leymann,et al.  of Architecture of Application Systems A Proposal of BPMN Extensions for the Manufacturing , 2011 .

[20]  Robert Winter,et al.  From Expert Discipline to Common Practice: A Vision and Research Agenda for Extending the Reach of Enterprise Modeling , 2018, Bus. Inf. Syst. Eng..

[21]  Jan Recker,et al.  Combined Use of Conceptual Models in Practice: An Exploratory Study , 2017, J. Database Manag..

[22]  Dominik Bork,et al.  Modeling Digital Enterprise Ecosystems with ArchiMate: A Mobility Provision Case Study , 2017, ICServ.

[23]  Robert Woitsch,et al.  Business and IT alignment: the IT-Socket , 2009, Elektrotech. Informationstechnik.

[24]  Dimitris Karagiannis Conceptual Modelling Methods: The AMME Agile Engineering Approach , 2016 .

[25]  Kjell Zandin,et al.  Maynard's Industrial Engineering Handbook, 5/E. , 2016 .