NDLI: A framework for design and integration of complex engineered systems: A study of SRITS

Content Provider	IEEE Xplore Digital Library
Author	Amaechi, A. Counsell, S.
Copyright Year	2012
Description	Author affiliation: School of Information Systems, Computing and Mathematics, Brunei University, Uxbridge, Middlesex, UB8 3PH, United Kingdom (Amaechi, A.; Counsell, S.)
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.
Starting Page	1
Ending Page	9
File Size	1333947
Page Count	9
File Format	PDF
ISBN	9781467347648
e-ISBN	9781467347662
DOI	10.1109/ICoCS.2012.6458586
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-05
Publisher Place	Morocco
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Context System architecture Adaptive systems Decision making Enterprise modeling Systemic risk Complexity theory Modeling Value robustness Computer architecture Robustness Complex adaptive systems Framework Complexity science
Content Type	Text
Resource Type	Article

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