A simulation-based process model learning approach for dynamic enterprise process optimization

Authors:
WenAn Tan
Affiliations:
School of Mathematics & Information Sci. and Engineering, Zhejiang Normal University, JinHua, Zhejiang, China
Venue:
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
Year:
2006

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Abstract

Dynamic enterprises process optimization (DEPO) is a multiparametric and multi-objective system optimization problem. This paper proposes a simulation-based process model learning approach for dynamic enterprise process optimization. Some concepts such as Evolving_region, Evolving_ Potential, Degenerate_region and Degenerate_limit are proposed to extend the concept of Tabu area. Tabu area extension and connection is successfully presented for realizing rapidly the domain reduction of a candidate set and speeding up global optimization. A distributed parallel optimization environment has been implemented using intelligent agents to validate the proposed approach.