A THEORETICAL PERFORMANCE ANALYSIS METHOD FOR BUSINESS PROCESS MODEL

Liping YANG, Ying LIU, Xin ZHOU

2005

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

  1. Christoph Roser, Masaru Nakano, Minoru Tanaka, 2003. Comparison of Bottleneck Detection Methods for AGV Systems. Proceedings of the 2003 Winter Simulation Conference.
  2. R. Blake and J. Breese, 1995. Automatic Bottleneck Detection, Microsoft Technical Report MSR-TR-95- 10, Microsoft Corporation, October 1995.
  3. Luthi, J., and Haring, 1997. G. Bottleneck Analysis for Computer and Communication Systems with Workload Variabilities & Uncertainties. In Proceedings of 2nd International Symposium on Mathematical Modelling, ed. I. Troch and F. Breitenecker, 525-534, 1997, Vienna, Austria.
  4. Lawrence, S. R., and Buss, A. H. 1995. Economic Analysis of Production Bottlenecks. Mathematical Problems in Engineering, 1(4): 341-369.
  5. Christoph Roser, Masaru Nakano, 2001. Minoru Tanaka. A Practical Bottleneck Detection Method. Proceedings of the 2001 Winter Simulation Conference.
  6. Donald Gross & Carl M. Harris, 1998. Fundamentals of Queueing Theory, Third Edition Wiley-InterScience, 1998.
  7. M.Ajmone Marsan, G.Balbo , and G.Conte, 1984. A Class of Generalized Stochastic Petri Nets for the Performance Analysis of Multiprocessor Systems, ACM Trans. Computer Systems, vol. 2, no. 1, May 1984.
  8. F.Baccelli and M.Canales, 1993. Parallel Simulation of Stochastic Petri Nets Using Recursive Equations, ACM Trans. Machines and Computer Systems, vol. 3, pp. 20-41, 1993.
  9. Salimifard K, Wright M, 2001. Petri net-based modelling of workflow systems: an overview. European Journal of Operational Research, 2001,134(3):664676.
  10. F.P.Kelly, R.J.Williams, 2004. Fluid model for a network operating under a fair bandwidth-sharing policy. The Annals of Applied Probability, 2004, Vol.14, No.3, 1055-1083.
  11. Law, Averill M., and Kelton, David W, 1991. Simulation Modelling & Analysis. McGraw Hill.
Download


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