Business process improvement using multi-objective optimisation

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dc.contributor.author Vergidis, K.
dc.contributor.author Tiwari, Ashutosh
dc.contributor.author Majeed, Basim
dc.date.accessioned 2006-11-02T15:18:13Z
dc.date.available 2006-11-02T15:18:13Z
dc.date.issued 2006
dc.identifier.citation Vergidis K, Tiwari A, Majeed B. (2006) Business process improvement using multi-objective optimisation. BT Technology Journal, Volume 24, Issue 2, April 2006, pp. 229-235 en
dc.identifier.issn 1358-3948
dc.identifier.uri http://hdl.handle.net/1826/1217
dc.identifier.uri https://doi.org/10.1007/s10550-006-0065-2
dc.description.abstract Business process redesign and improvement has become an increasingly attractive subject in the wider area of business process intelligence. Although there have been many attempts to establish a business process redesign framework, there is little work on the actual optimisation of business processes with given objectives. Furthermore, most of the attempts to optimise a business process are manual and do not involve a formal automated methodology. This paper proposes a process improvement approach for automated multi-objective optimisation of business processes. The proposed framework uses a generic business process model that is formally defined. The formal definition of business processes is necessary to ensure that the optimisation will take place in a clearly defined, repeatable and verifiable way. Multi-objectivity is expressed in terms of process cost and duration as two key objectives for any business process. The business process model is programmed and incorporated into a software optimisation platform where a selection of multi-objective optimisation algorithms can be applied to a business process design. This paper outlines a case study of business process design that is optimised by the state-of-the-art multi-objective optimisation algorithm NSGA2. The results indicate that, although business process optimisation is a highly constrained problem with fragmented search space, a number of alternative optimised business processes that meet the optimisation criteria can be produced. The paper also provides directions for future research in this area. en
dc.format.extent 174450 bytes
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher Springer Verlag en
dc.title Business process improvement using multi-objective optimisation en
dc.type Article en


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