In a manufacturing industry, establishment of the mass customization which is the management system that produces a product efficiently with diversification of a customer's request is pressing need. When the demand quantity is known, the new production plan system which performs mass customization had already been presented. In this paper, when the demand quantity is unknown, we proposed the model of mass customization about production and inventory planning. A new model is formulated as a linear programming problem based on a MIN-MAX strategy. This model can be used when demand quantity is not given. In this paper, we use the particle swarm optimization which is one of the methods of optimization problem in order to solve this model.
Recently, the decrease in child's interpersonal relationship ability becomes a problem. Various causes such as changes in the falling birthrate and the society are thought. The communications that especially use media such as blogs and SNS because of the development of various Electronic Medias by IT increase. Therefore, the state of the ideal communication between the children's has changed, and the correspondence is requested. Therefore, in this paper, the communications means between students is investigated by using the questionnaire with the web. Here, the example of the main communication means includes the telephone, E-mail, SNS, and the blog, etc. And, the correlation between students is analyzed from the result of the questionnaire, and the connection degree is shown in figure. It's possible to consider the state of the ideal communication between the teacher and the student based on those analysis result and figure. Moreover, it is thought that it leads to the promotion of the educational activity by comparing the analysis result with the result.
Swarm Intelligence is the optimization technique based on the action of groups, such as a bird and a fish, and a colony of the ant. PSO which is one of the technique is developed and applied in various studies. However, convergence of PSO is groundless. From the point of view, in this paper, we have proposed a new hybrid dynamical system of Swarm Intelligence and Neural Network dynamics for finding better optimal solution. As the main results of this paper, we first show how to combine PSO and neural network mechanism by the theoretical analysis, and confirmed that proposed system can realize interpolation search based on global information of objective environment. The meaning of the interpolation search is the mechanism of the dynamics of local search which is included in global search of PSO.
The size of financial markets has become huge, research on mechanisms is becoming more critical, and research is progressing. In addition to research on financial market modelling, there have been increasing attempts to clarify the mechanism of the Financial Markets Commission by associating markets with events that occur outside the market. Therefore, in this study, we investigate the effects of factors outside the market on exchange rates and consider the mechanisms necessary to consider the effects of automatic trading. We propose an analysis method for automatic trading of foreign exchange that considers external and internal factors in the market.
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