Authors:
Rallis C. Papademetriou
1
and
Dimitrios A. Karras
2
Affiliations:
1
School of Engineering, University of Portsmouth, United Kingdom
;
2
Automation Department, Serea Hellas Institute of Technology, Greece
Keyword(s):
Business Process Modelling, Modelling Requirements, Analytical Management Techniques, Game-Theory Modelling, Markov-Chain Modelling, Probabilistic Modelling, Cognitive Maps Modelling.
Abstract:
Unquestionably, Business Process Modelling (BPM) is an increasingly popular research area for both
organisations and enterprises due to its effectiveness in enabling better planning of resources, business
reengineering and optimized business performance. The understanding of Business Process modelling is an
essential approach for an Organization or Enterprise to achieve set objectives and improve its operations.
Recent development has shown the importance of representing processes to carry out continuous
improvement. The modelling and simulation of Business Processes has been able to show Business Analysts,
and Managers where bottleneck exists in the system, how to optimize the Business Process to reduce cost of
running the Organization, and the required resources needed for an Organization. Although large scale
organizations have already been involved in such BPM applications, on the other hand, Small Medium
Enterprises (SME) have not drawn much attention with this respect. It seems
that SME need more practical
tools for modelling and analysis with minimum expenses if possible. One approach to make BPM more
applicable to SME but, also, to larger scale organizations would be to properly integrate it with analytical
management computational techniques, including the game-theoretic analysis, the probabilistic modelling,
the Markov-chain modelling and the Cognitive Maps methodology. In BPM research the Petri Nets
methodology has already been involved in theory, applications and BPM Software tools. However, this is not
the case in the previously mentioned as well as to other analytical management techniques. It is, therefore,
important in BPM research to take into account such techniques. This paper presents an overview of some
important analytical management computational techniques, as the above, that could be integrated in the BPM
framework. It provides an overview along with examples of the applicability of such methods in the BPM
field. The major goal of this systematic overview is to propose steps for the integration of such analytical
techniques in the BPM framework so that they could be widely applied especially for SME since currently
are well suited to smaller scale problems.
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