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A direct prediction method based on empirical mode decomposition and echo state network is proposed to predict coke oven gas generation and consumption of the steel industry. First, the empirical mode decomposition is used to de-noise the practical data with high noise level. Then the direct relationship between the prediction origin and prediction horizon using echo state network is established without...
Customer order planning and scheduling (COPS) is an integral part of computer integrated manufacturing system (CIMS). Although many scheduling approaches have been proposed, the two features, i.e. the efficiency and the single shipment requirement are seldom considered simultaneously. Also the design of controlling mechanism for COPS is lack. In this study, we design a controlling mechanism to account...
A dynamic forecasting model is proposed in this paper for the unit production capacity prediction in production planning and scheduling systems of process industry. An application of this model is demonstrated in the planning and scheduling systems of a cold rolling steel sheet plant. It is shown that the model can forecasts the unit production capacity and makes the order to deliver by due date exactly
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