dc.contributor.author |
Vergidis, K. |
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dc.contributor.author |
Tiwari, Ashutosh |
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dc.contributor.author |
Majeed, Basim |
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dc.date.accessioned |
2006-11-02T15:18:13Z |
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dc.date.available |
2006-11-02T15:18:13Z |
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dc.date.issued |
2006 |
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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 |
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dc.identifier.uri |
http://hdl.handle.net/1826/1217 |
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dc.identifier.uri |
https://doi.org/10.1007/s10550-006-0065-2 |
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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. |
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dc.format.extent |
174450 bytes |
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dc.format.mimetype |
application/pdf |
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dc.language.iso |
en |
en |
dc.publisher |
Springer Verlag |
en |
dc.title |
Business process improvement using multi-objective optimisation |
en |
dc.type |
Article |
en |