• Nikolay Kazantsev
  • Pedro Sampaio
  • Grigory Pishchulov
  • Sonia Cisneros Cabrera
  • Zixu Liu
  • Nikolay Mehandjiev

In Industry 4.0 scenarios, the presence of formalized and enforced governance rules helps to clarify how core and external contributors should collaborate to co-design and deliver key subsystems of the finished product. This clarity diminishes the time for establishing collaborations and facilitates tasks execution. However, current governance rules are usually more implicit than explicit and often are subject to timeconsuming negotiation before a new collaboration starts. The concept of Industry 4.0 demands higher levels of dynamism; therefore, we present the importance of governance rules in such digital marketplaces. In this short paper, we lay out the foundation for enabling the explicit definition and enforcement of governance rules by proposing a specialized Abstract Syntax Metamodel for specifying governance rules. With such a model, we aim to aid demand-driven production and logistics service collaborations between suppliers towards enabling a quicker and more predictable creation and execution of the tasks involved.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE World Congress on Services, SERVICES 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages49-50
Number of pages2
ISBN (Electronic)9781538673744
DOIs
StatePublished - 17 Oct 2018
Event2018 IEEE World Congress on Services, SERVICES 2018 - San Francisco, United States
Duration: 2 Jul 20187 Jul 2018

Publication series

NameProceedings - 2018 IEEE World Congress on Services, SERVICES 2018

Conference

Conference2018 IEEE World Congress on Services, SERVICES 2018
Country/TerritoryUnited States
CitySan Francisco
Period2/07/187/07/18

    Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Information Systems and Management
  • Computer Networks and Communications
  • Computer Science Applications

    Research areas

  • Domain specific language, Governance rules, Industry 4.0

ID: 42912740