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Simulation-Based Method Engineering in Federated Organizations

  • P. Peters
  • M. Mandelbaum
  • M. Jarke
Chapter
Part of the IFIP — The International Federation for Information Processing book series (IFIPAICT)

Abstract

The decentralization of organizations influences method engineering in two ways: Firstly, the distributed IS development process has to be supported by flexible, modular methods. Secondly, the interaction among methods and their users in the organizational network must be facilitated in order to ensure and improve process quality and efficiency. Our research starts from the observation that recent research in method engineering focusses on flexible, process-oriented integration of methods than on the organizational coupling of information flows between established methods that ensure high quality information exchange and continuous process improvement along feedback cycles. In order to show how organizational feedback cycles influence the efficiency and quality, we identified three kinds of information flows which can be categorized as task information, corporate memory and strategy information. Taking advantage of this categorization, we present a formal approach to method engineering in-the-large. This approach combines conceptual modeling of information flow models between federated methods and quantitative analysis of their short-term and long-term impacts on organizational performance by simulation. Technically, this is achieved by a two-fold application of meta modeling: firstly, to make short-term and long-term simulation techniques interoperate; and secondly, to link conceptual method models to the simulation models. These two links have been implemented in the MultiSim environment on top of the ConceptBase meta data manager. A case study that takes place in a setting of federated manufacturing methods shows how a change of methods influences the behavior of the overall company and how information flows along and across processes must be engineered to achieve a positive net outcome.

Keywords

Information Quality Conceptual Modeling Simulation System Analysis 

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Copyright information

© Springer Science+Business Media Dordrecht 1996

Authors and Affiliations

  • P. Peters
    • 1
  • M. Mandelbaum
    • 1
  • M. Jarke
    • 1
  1. 1.Informatik VRWTH AachenAachenGermany

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