Enterprise model management systems

  • Authors:
  • David Sundaram;Elke Wolf

  • Affiliations:
  • University of Auckland, New Zealand;Dr. Wolf Managementconsulting, Germany

  • Venue:
  • Proceedings of the International Workshop on Enterprises & Organizational Modeling and Simulation
  • Year:
  • 2009

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Abstract

Decision making in the managerial context is often unstructured, ad-hoc, and complex. It involves structuring and solving the problem, and interpreting the results. A computer-based environment that supports these decision making processes is characterised by a modelling approach that enables the representation of the complexity of the problem, access to data and solvers, persistence of problem representation, and the ability to manipulate and integrate problem representations. Lack of a general framework for conceptual modelling and constraints imposed by technology have, in the past, limited the design and implementation of enterprise model management systems (EMMS). This research attempts to overcome key problems in EMMS design and implementation by proposing, implementing, and evaluating a modelling framework that uses Structured Modelling to describe models, object-oriented and relational constructs to represent models, and predicate calculus-based extended Structured Query Language (ESQL) to manipulate models.