Modeling and analysis of coordination for multienterprise networks
Abstract
Information technology (IT) plays an increased role in the strategic thinking of most modern organizations; the cost invested on IT by organizations has also expanded significantly. However, existing modeling methodologies for the role of information and information processing lack analytical capability in the area of multi-enterprise coordination and collaboration. The objective of this research is to investigate the impact of information exchange among enterprises, and develop a modeling methodology with analytical capability and optimization ability from the perspective of coordination. Since scalability is a desired property of enterprise systems, it is also the objective of this research to investigate the impact of coordination on the scalability of an enterprise networking with other enterprises. The following research issues are addressed: (1) How to model the coordination relationship and information flow among enterprises; (2) How to obtain the optimal coordination structure for the formed Multi-Enterprise Network when considering the cost of coordination; and (3) How to enable the scalability of the formed Multi-Enterprise Network. An integrated methodology involving enterprise modeling and Information Technology to represent the enterprise network is developed in this research. The modeling methodology is divided into three steps: First, an enterprise modeling method for the Multi-Enterprise Network is proposed. The coordination relationship and the cost structure are defined. Second, genetic algorithms are developed and applied to optimize the coordination structure of the Multi-Enterprise Network. Third, a definition for scalable enterprise systems is developed. A scalable topology for computer architecture is adapted to model a Multi-Enterprise Network. The fluctuating market is simulated to test the scalability of the proposed Multi-Enterprise Network. Experiments demonstrate the analytical capability and optimization ability of the proposed modeling methodology. The optimal coordination structure obtained from the proposed modeling methodology outperforms other coordination structures. Experiments also demonstrate that the Multi-Enterprise Network modeled by scalable topology is scalable. The new methodology is shown to be a practical and useful tool for theoretical analysis and design of optimized Multi-Enterprise Networks.
Degree
Ph.D.
Advisors
Nof, Purdue University.
Subject Area
Industrial engineering
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