Boryachok V. Adaptive models and methods of supply chain organization in electronic commerce systems

The thesis is devoted to the development of the models and methods for supply chain organization in electronic commerce systems. The approach for describing electronic commerce systems is proposed. The model of value flows in these systems is developed. The model of supply chain organization in electronic commerce systems is developed with help of colour and predicative Petri nets integration. This model can be used for automated supply chain management. The method of adaptive selection of effective ways of orders execution in electronic supply chain management systems is developed. It helps to automate the process of making decisions connected with looking for suppliers, to reduce time and risk by lessening the influence of subjective factors. The adaptive predictive model is improved by using neural networks technologies, which allows to realize a forecast of economic activities in electronic delivery systems. The method of electronic commerce systems creation is improved on the basis of predicativePetri nets, which lets take into account numbers of factors more exactly. These factors determinate efficiency of this class systems creation.