Analysis Of Complex System 2022

Running head: ANALYSIS OF COMPLEX SYSTEM
Analysis of complex system
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ANALYSIS OF COMPLEX SYSTEM1
Abstract
In the present time, different methods are available for complex system engineering and
management. The most common method is to divide the systems into subsystems and analyse the
problem domain. However, sometimes analysing a system on a macroscopic level does not help
in understanding the problem domain in the microscopic level. Since the subsystems are
internally correlated with each other, failing a subsystem can lead to failure in the system.
Choosing a perfect methodology for system development is a challenging task. This report deals
with analysis complex system management with the Cynefin framework of identifying problem
domain. Later the sense-making tool is used for defining the problems and their solution. In later
sections of the report, systemic risks management handling is discussed with the example of the
stock market and recognising the initiating events of the reduction in stock prices.

ANALYSIS OF COMPLEX SYSTEM2
Table of Contents
Introduction......................................................................................................................................3
Complex system...............................................................................................................................4
Cynefin framework in complex systems.........................................................................................5
Sense-making using Cynefin model............................................................................................6
Systemic risks in complex system management..............................................................................8
Complex System Engineering.........................................................................................................9
Initiating events in complex systems (stock market).......................................................................9
Recommendation...........................................................................................................................10
Conclusion.....................................................................................................................................11
References......................................................................................................................................13

ANALYSIS OF COMPLEX SYSTEM3
Introduction
Complexity in complex system can be referred as detailed study of the system of
subsystems. Uncertainty arise when someone deals about complexity. In any project
management of system engineering any kind of uncertainty can leads toward the system failure
(Locatelli, Mancini and Romano 2014). Basically, the complex system means there are so many
systems present in a system, and they work collaboratively. These multiple systems are called
subsystems which interact non-linearly and independently. Dealing with a complex system can
grow risks for any larger system where the size of the complexity increases with the time. The
interactions are large in number due to the components are also large in numbers. There are
many different goal-oriented, and functional oriented components can be present in a complex
system. The main idea of the handling complex systems are self-organisation and emergence
(Dörnyei 2014). In a cmplex system, there are several multiple components are presents and
work together in a complex system. If the whole system is seen together the problems on the core
layer of the components cannot be resolved. Another idea of complex systems is self-
organisation. It means that self-observation in the system behaviour or structure is necessary as
the development progresses of any system. It is always misunderstood with the emergence. In
this report, the project management practices of system engineering are discussed and how to
handle a complex system. The complex systems have a different level of complexity. First, the
type and level of complexity are needed to be defined so that anyone can act on those complex
problems. The analysis of the problem domain or say these complexities cannot be done using
traditional methods of project management (Highsmith 2013). The Cynefin framework is known
as a great method to handle complex systems project management. As moving further in this