A THEORETICAL PERFORMANCE ANALYSIS METHOD FOR BUSINESS PROCESS MODEL

Liping YANG, Ying LIU, Xin ZHOU

Abstract

During designing a business process model, to predict its performance is very important. The performance of business operational process is heavily influenced by its bottlenecks. In order to improve the performance, finding the bottlenecks is critical. This paper proposes a theoretical analysis method for bottleneck detection. An abstract computational model is designed to capture the main elements of a business operational process model. Based on the computational model, a balance equation system is set up. The bottlenecks can be detected by solving the balance equation system. Compared with traditional bottleneck detection methods, this theoretical analysis method has two obvious advantages: the cost of detecting bottlenecks is very low because they can be predicted in design time with no need for system simulation; and it can not only correctly predict the bottlenecks but also give the solutions for improving the bottleneck by solving the balance equation system.

References

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Paper Citation


in Harvard Style

YANG L., LIU Y. and ZHOU X. (2005). A THEORETICAL PERFORMANCE ANALYSIS METHOD FOR BUSINESS PROCESS MODEL . In Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 3: ICEIS, ISBN 972-8865-19-8, pages 73-80. DOI: 10.5220/0002537700730080


in Bibtex Style

@conference{iceis05,
author={Liping YANG and Ying LIU and Xin ZHOU},
title={A THEORETICAL PERFORMANCE ANALYSIS METHOD FOR BUSINESS PROCESS MODEL},
booktitle={Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 3: ICEIS,},
year={2005},
pages={73-80},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002537700730080},
isbn={972-8865-19-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 3: ICEIS,
TI - A THEORETICAL PERFORMANCE ANALYSIS METHOD FOR BUSINESS PROCESS MODEL
SN - 972-8865-19-8
AU - YANG L.
AU - LIU Y.
AU - ZHOU X.
PY - 2005
SP - 73
EP - 80
DO - 10.5220/0002537700730080