Summary
The ideas discussed in this paper are based on the research question “how can a business process be represented as a chromosome?”. By constructing a company taxonomy and attaching to it a classification and coding system, a process model can be comprehensively represented as a numerical chromosome with the aim of then optimising it via the use of an evolutionary computation based technique. This paper suggests a methodology for analysing and coding a process, and goes on to demonstrate how the process is optimised, in this instance based on cost evaluation only. All research conducted has concentrated on the service sector and this type of business process is used as an example.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Johansson, H.J., McHugh, A.P., Pendlebury, J., Wheeler, W.A.: Business Process Reengineering Breakpoint Strategies for Market Dominance. Wiley, Chichester (1993)
Stelling, M.T., Roy, R., Tiwari, A., Majeed, B.: A Coding Mechanism for Business Process Optimisation Using Genetic Algorithms: Initial Thoughts. In: 10th IASTED International Conference on Artificial Intelligence and Soft Computing, Palma, Majorca. ACTA Press (2006)
Zakarian, A., Kusiak, A.: Analysis of Process Models. IEEE Transactions on Electronics Packaging Manufacturing 23(2), 137–147 (2000)
Gordijn, J., Akkermans, J.M., van Vliet, J.C.: What’s in an Electronic Business Model. In: 12th International Conference on Knowledge Engineering and Knowledge Management EKAW 2000, Juan-les-Prins, October 2-6 (2000)
Object Management Group (OMG), Business Process Modelling Notation (BPMN) Specification: Final Adopted Specification, OMG, Needham, MA, USA (2006)
Vergidis, K.: Multi-Objective Optimisation of Business Processes Using Soft Computing Techniques (MSc Thesis), Cranfield University (2005)
Tiwari, A.: Evolutionary Computing Techniques for Handling Variables Interaction in Engineering Design Optimisation (PhD Thesis), Cranfield University (2001)
Zakarian, A.: Analysis of Process Models: A Fuzzy Logic Approach. International Journal of Advanced Manufacturing Technology (17), 444–452 (2001)
Phalp, K., Shepperd, M.: Quantitative Analysis of Static Models of Processes. The Journal of Systems and Software 52, 105–112 (2000)
Hofacker, I., Vetschera, R.: Algorithmical Approaches to Business Process Design. Computers & Operations Research 28, 1253–1275 (2001)
National Archives of Australia, Business Classification Systems (2000) (accessed 2006), http://www.naa.gov.au/recordkeeping/control/tools/appendixB.html
Oxford English Dictionary (accessed 2006), http://www.askoxford.com
Wiktionary (accessed 2006), http://en.wiktionary.org
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Stelling, M., Roy, R., Tiwari, A. (2009). A Novel Modelling and Optimisation Technique for Business Processes: An Evolutionary Computing Based Approach. In: Avineri, E., Köppen, M., Dahal, K., Sunitiyoso, Y., Roy, R. (eds) Applications of Soft Computing. Advances in Soft Computing, vol 52. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88079-0_8
Download citation
DOI: https://doi.org/10.1007/978-3-540-88079-0_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88078-3
Online ISBN: 978-3-540-88079-0
eBook Packages: EngineeringEngineering (R0)