Complexity Evaluation with Business Process Modeling and
Simulation
Krishan Chand
and Muthu Ramachandran
School of Computing, Creative Technologies and Engineering,
Leeds Beckett University, Leeds, U.K.
Keywords: Business Process Modeling, BPMN, Simulation, Complexity.
Abstract: To stay in the competition and to make a stand in the market, companies have to make the quick changes.
Business Process Modelling (BPM) has made an impact in the respect to capture the process and to make
the changes accordingly for improvement in business operations. Modeling and simulation is the process of
making a process simple to reduce complexity. However, modellers or researchers still making the complex
models. Modeling and simulation are the areas which need to be addressed, despite only a few researchers
worked in the respective areas of modelling and simulation. The paper addresses the complexity issue of
cloud performance criteria of time and cost. To this end, this paper has evaluated the domain of financial
services in the cloud with Business Process Modeling Notation (BPMN) and simulation. Two different
scenarios have been created to demonstrate the result of performance complexity of cloud services. Finally,
the conclusion has been derived to help and guide further research.
1 INTRODUCTION
Due to its existence importance not because of
descriptive nature of the process, but also the
characteristics representation for the activities such
as business process improvement, business process
re-engineering and process standardization, business
process modeling is the first stage to success the
organizational targets or objectives (Succi,
Predonzani & Vernazza, 2000).
Different stakeholders such as Business process
analyst, domain experts, technical analyst and
software developers are included in the activities of
the business process modeling. Thus, the
communication between these stakeholders is the
main aim of the business process modeling.
Moreover, business process should be simple and
uncomplicated to maintain and understand. The
business process with the high complexity and
unclear message can possibly result in defects,
errors, unsatisfactory results and adverse
understandability. Consequently, it can increase the
development time, testing time and maintenance of
the business process.
Modeling and Simulation are the processes to
reduce the complexity of the real world business
process. The main aim of the business process
modeling and simulation is to review the complexity
of a process directed to make it with fewer efforts,
accordingly to ease the complexity of the business
process and to make it simple and understanding.
However, the main objective of the process modeller
is to make the process understanding and to reduce
the complexity in the practical world, are designing
the complex models (Henriksen, 2008; Chwif et al.,
2000).
Though, to understanding the business process
complexity and to find out responsible aspects to
make the process complex and big, gives the
impression of less interest to elucidate the
complexity. Moreover, sporadically no one asked
this question that process complexity has a direct
impact on the performance attributes such as cost
and time. Consequently, the question comes that
how a process complexity can be measured? Does it
really important for modellers or the researchers to
measure the process simulation model complexity?
And how it would help if modellers can find out the
factors for increased complexity?
The objective of this paper is to find out the
concept behind the simulation model and
complexity. Two scenarios with the different
complexity of the process have been created to
conclude the results and to describe how complexity
can directly influence the performance (Time and
Cost).
136
Chand, K. and Ramachandran, M.
Complexity Evaluation with Business Process Modeling and Simulation.
DOI: 10.5220/0006790501360141
In Proceedings of the 3rd International Conference on Complexity, Future Information Systems and Risk (COMPLEXIS 2018), pages 136-141
ISBN: 978-989-758-297-4
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