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Industrial Business Process Management Using Adonis Towards a Modular Business Process Modelling Method for Zero-Defect-Manufacturing

  • Wilfrid Utz
  • , Moonkun Lee
    • BOC Group

    Research output: Contribution to conferenceConference paperpeer-review

    Abstract

    This paper introduces the idea of industrial business process management in the context of the European Commission's project GO0D MAN. It presents showcases on how the industry-domain independent, Business Process Management Toolkit ADONIS can be extended through composition and injection mechanisms to support the modelling of industrial business processes for zero-defect manufacturing and can be further enhanced with conceptual analytics techniques as a knowledge management infrastructure in the domain of advanced manufacturing.

    Original languageEnglish
    Title of host publication2017 International Conference on Industrial Engineering, Management Science and Application, ICIMSA 2017
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781509063352
    DOIs
    StatePublished - 2017.07.19
    Event2017 International Conference on Industrial Engineering, Management Science and Application, ICIMSA 2017 - Seoul, Korea, Republic of
    Duration: 2017.06.132017.06.15

    Publication series

    Name2017 International Conference on Industrial Engineering, Management Science and Application, ICIMSA 2017

    Conference

    Conference2017 International Conference on Industrial Engineering, Management Science and Application, ICIMSA 2017
    Country/TerritoryKorea, Republic of
    CitySeoul
    Period17.06.1317.06.15

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 9 - Industry, Innovation, and Infrastructure
      SDG 9 Industry, Innovation, and Infrastructure

    Keywords

    • factories for the future
    • industrial business process management
    • knowledge management
    • meta-modelling
    • modeling

    Quacquarelli Symonds(QS) Subject Topics

    • Business & Management Studies
    • Engineering - Mechanical
    • Mathematics
    • Statistics & Operational Research

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