DocumentCode :
3294779
Title :
A framework for design and integration of complex engineered systems: A study of SRITS
Author :
Amaechi, A. ; Counsell, Steve
Author_Institution :
Sch. of Inf. Syst., Comput. & Math., Brunel Univ., Uxbridge, UK
fYear :
2012
fDate :
5-6 Nov. 2012
Firstpage :
1
Lastpage :
9
Abstract :
The first possible step to achieving an understanding the design and management of complex systems is to understand what is meant by `complexity engineering´. Multitude of concepts in complexity engineering has been contextually developed in a wide range of disciplines by from scientists who are interested in bio-inspired methods and working in computer science or mobile robots, or they come from the area of systems engineering. A very fundamental need in complexity engineering is a general and well-developed methodology, set of design rules, and patterns for engineering `manageable´ and `value robust´ system architectures. The engineering of the Systemic Financial Risk Infrastructure Systems (SRITS) has notable resisted the application of the traditional system engineering approaches. SRITS is a complex adaptive system in the manner described by complexity science. The paper briefly presented a conceptual framework called CXLUD capable of dealing with the challenges posed by complex adaptive system, i.e. understanding, visualizing, designing, describing, managing and designing the future. The framework provides a means for system designers and managers to organize systems information in ways that allow for better collection, understanding and analysis of system information during early-phase conceptual design of complex systems. The paper summarizes the results from a series of design procedure case studies at one of the largest financial institutions in UK working on developing a complex systemic risk infrastructure projects to which the introduced decision making or way of thinking framework were applied.
Keywords :
computer science; decision making; financial management; mobile robots; risk analysis; SRITS; bio-inspired methods; complex engineered systems; complexity engineering; computer science; decision making; mobile robots; systemic financial risk infrastructure systems; Adaptive systems; Complexity theory; Computer architecture; Context; Decision making; Modeling; Robustness; complex adaptive systems; complexity science; enterprise modeling; framework; system architecture; systemic risk; value robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Complex Systems (ICCS), 2012 International Conference on
Conference_Location :
Agadir
Print_ISBN :
978-1-4673-4764-8
Type :
conf
DOI :
10.1109/ICoCS.2012.6458586
Filename :
6458586
Link To Document :
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