Complex System Concept 2022

Running head: COMPLEX SYSTEM
Complex System Analysis
Name of the Student
Name of the University
Author Note

COMPLEX SYSTEM1
Table of Contents
Introduction......................................................................................................................................2
Complex system...............................................................................................................................3
Cynefin model.............................................................................................................................4
Decision making..........................................................................................................................6
System Engineering.........................................................................................................................7
Systemic risks..................................................................................................................................8
Initiating events.............................................................................................................................10
Recommendation...........................................................................................................................11
Change in process......................................................................................................................11
Change in users..........................................................................................................................11
Changes in tools.........................................................................................................................11
Conclusion.....................................................................................................................................12
Reference.......................................................................................................................................14

COMPLEX SYSTEM2
Introduction
Complex systems are defined as a system network. It consists with multiple large number
of components or subsystems which interact with each other non-linearly (Sage and Rouse
2014). complex systems usually arise and grow along with time and affect the production and
development on a large scale. There are several definitions are present for complex systems. On
ignoring others definition and following only any one of the definitions, the main thing is found
common that the interaction between the components of the system is very large. Due to the
presence of several multiple components, the interactions are also large in number. There are
many different functional oriented and goal-oriented components presents in a complex system.
The main ideology of the concepts of the complex systems are emergence and self-organisation
(Hensel, Menges and Weinstock 2013). The concept of emergence is used from more than a
century. There are several subsystems in a system where the analysis on the macroscopic level
cannot reduce the problems on the basic level of management. For example, it can be said that if
an animal is moving around, then it is alive. However, the microscopic biological activities in his
body cannot be explained that is making the animal alive. Another concept of complex systems
is there that is self-organisation. Self-organisation usually confused with the emergence
sometimes (Jacobson 2013). It means that spontaneous self-observation in the system behaviour
or structure is necessary as the development progresses. The report intends to discuss, the
working methodology of a complex system and "how can any system be defined as complex" is
the main domain of discussion. It also discusses that large-scale complexity of a network can be
reduced with the help of the Cynefin framework. In later sections, the report follows the
approaches to manage the complex systems with types of emergence and uncertainty, tiny
initiating events, sense-making and systemic risk management of the complex system.

COMPLEX SYSTEM3
Complex system
Today, all the modern world's systems are becoming complex. Their behavioural and
operational functionalities may change in unpredictable cycles. A complex system can have a
very large-scale production, long-chain organisational operations and enormous size. These
complexities can lead to various kind of risks, uncertainty and ambiguity during the project
management. It is known fact that the complexity of a complex system grows along with the
time, size and cost (Sturmberg, Martin and Katerndahl 2014). To avoid increment in cost and
complexity of the project, the system should be tested its missing parameters, links and
interconnecting points. For these new types of complex systems, the traditional approaches of
project management may not be helpful to reduce problem domains. However, it helps to
understand the individual subsystems of the system. To understand the complexity of the system,
following points should be considered:
i. The flow of the behavioural changes in the system must be analysed, which is
required when the solution is placed between the interconnection of two
individual parts of the system to work as a whole.
ii. The main aim of the system should be well defined. The goal can be in phases as
the complex system contains many different working modules (Qin 2018).
iii. The emergent behaviour of the system is also analysed as it can make the system
more vulnerable if any unwanted interaction happens among the different
subsystems (Hensel, Menges and Weinstock 2013).
iv. The context of the system should also be clear that specifies the scope of the
project, which is the main aim for any project.