the start moment and starting command parameters.
AbstractThe mathematical model of resource conversion processes (RCP) is developed by the means of discrete-event simulation systems and expert systems. Within the framework of mathematical model RCP are defined: production system of the RCP structure and rules transformation structure, that taking into account conflicts origin. The discrete-event simulation system "BPsim" is developed on the basis of the RCP mathematical model.
The paper focuses on the actual problem of development of methods and tools for processes simulation and software engineering, that automate the whole process starting with the processes formalization, business processes and decisionmaking processes dynamic models development, carrying out simulation experiments with the models, bottlenecks analysis, process re-engineering and optimization, and finishing with software engineering, which includes database and software modules generation. During research many available CASE tools were studied, analyzed and searched for disadvantages. Particularly, most of the tools lacked structural and objectoriented approaches integration and design process intelligence, i.e. no interaction between various kinds of UML diagrams. Keeping in mind these factors and considering small performance on complicated systems analysis utilizing simulation modeling a multi-agent resource conversion processes based CASE tool was engineered.
Abstract. The mathematical model of multi agent resource conversion processes (RCP) is developed by the means of discrete-event simulation systems and expert systems. Within the framework of mathematical model RCP are defined: production system of the RCP structure, that taking into account conflicts origin. The discrete-event simulation system "BPsim" is developed on the basis of the multi agent RCP mathematical model. The "BPsim" system is inculcated on the firms in Ural region (Russia).
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