Engineering Self-designing Enterprises as Complex Systems Using Enterprise Architecture Cybernetics
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Various disciplines have contributed to Complexity Science by experiencing the problem of how to design, build and control more and more complex systems (i.e., to ‘beat the complexity barrier’) and tried to suggest some solutions. However, apart from the description of this problem, very few concrete proposals exist to solve it. The observation of this Conceptual Analytical dissertation is that while improved design methodologies, modelling languages and analysis tools can certainly lessen the designer’s problem, they only extend the complexity barrier that a designer (or group of designers) can deal with, but they do not remove that barrier. The hypothesis of this dissertation is that perhaps the system (or system of systems) and the designer (group of designers) should not be separated and systems should design themselves, out of component systems that have the same self-designing property. Therefore the informal research questions are: 1. Is it possible to remove this problem from the design of complex systems? 2. If yes how (or to what extent)? Many disciplines attempted to attack the question of complexity management, and as will be seen, an interdisciplinary approach seems necessary to be able to give useful answers. Enterprise Architecture as a discipline, which evolved in the past 20 to 30 years (initially called 'enterprise integration'), has defined as its mission to bring together all that knowledge which is necessary to maintain enterprises through life (ISO 15704, 2000). Therefore, this thesis will attempt to look at the problem through the eyes of an interdisciplinary EA researcher.
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Information and Communication Technology
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