BUSINESS PROCESS PRIORISATION WITH MULTICRITERIA METHODS - Case of Business Process Reengineering

Elena Kornyshova, Camille Salinesi

Abstract

Business process (BP) engineering is used nowadays in many methods, techniques and tools. In domains such as strategic management, reengineering, or security analysis, one particular concern is the identification of BPs that should be dealt primarily. In practice, the number of BPs is often very large and it justifies the creation of a priorisation mechanism. However, the number of approaches available to prioritise BPs specifically is very limited. This paper presents a comparison of multicriteria (MC) methods, and an approach to guide the selection and application of the MC method found as the most appropriate for BP priorisation. The approach is illustrated with the case of selecting and applying a BP priorisation in the view of BP reengineering.

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Paper Citation


in Harvard Style

Kornyshova E. and Salinesi C. (2007). BUSINESS PROCESS PRIORISATION WITH MULTICRITERIA METHODS - Case of Business Process Reengineering . In Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 3: ICEIS, ISBN 978-972-8865-90-0, pages 138-143. DOI: 10.5220/0002381901380143


in Bibtex Style

@conference{iceis07,
author={Elena Kornyshova and Camille Salinesi},
title={BUSINESS PROCESS PRIORISATION WITH MULTICRITERIA METHODS - Case of Business Process Reengineering},
booktitle={Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 3: ICEIS,},
year={2007},
pages={138-143},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002381901380143},
isbn={978-972-8865-90-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 3: ICEIS,
TI - BUSINESS PROCESS PRIORISATION WITH MULTICRITERIA METHODS - Case of Business Process Reengineering
SN - 978-972-8865-90-0
AU - Kornyshova E.
AU - Salinesi C.
PY - 2007
SP - 138
EP - 143
DO - 10.5220/0002381901380143