• DocumentCode
    127694
  • Title

    Modelling Sound Conflict Management for Virtual-Enterprise Collaboration

  • Author

    Narendra, Nanjangud C. ; Norta, Alex ; Mahunnah, Msury ; Maggi, Fabrizio

  • Author_Institution
    Cognizant Technol. Solutions, Bangalore, India
  • fYear
    2014
  • fDate
    June 27 2014-July 2 2014
  • Firstpage
    813
  • Lastpage
    820
  • Abstract
    Enterprises today find themselves increasingly part of networks of collaborations with their peers in order to fulfil customer requirements. Such collaborations, also known as virtual enterprises (VE), are governed by pre-defined contracts that restrict the behaviour of each participating enterprise. However, since each enterprise is autonomous, conflicts could arise during the collaboration. In this paper, we extend our earlier work on virtual enterprise modelling and present an approach for conflict modelling and management in VEs. Our approach first detects a conflict by analysing the exception that is reported during execution. It then uncovers the type of conflict from the exception and, depending on the nature of the exception, proposes the appropriate conflict management strategy. Throughout this paper, we illustrate our ideas on a running example and also present an evaluation based on a case study from the automobile production domain.
  • Keywords
    automobile industry; automobile manufacture; contracts; virtual enterprises; VE management; automobile production; collaboration networks; conflict detection; conflict management strategy; customer requirements; enterprise behaviour; exception analysis; predefined contracts; sound conflict management modelling; virtual enterprise modelling; virtual-enterprise collaboration; Biological system modeling; Collaboration; Marine vehicles; Protocols; Virtual enterprises; Wheels; conflict management; exceptions; interaction patterns; virtual enterprises;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services Computing (SCC), 2014 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • Print_ISBN
    978-1-4799-5065-2
  • Type

    conf

  • DOI
    10.1109/SCC.2014.110
  • Filename
    6930612