Production Order Evaluation Based on Neutral Network Model

摘要

For MTO manufacturing enterprise, evaluating production order is the core task in demand management and production plan-making. Production order is a list which contains detail information about the product required by customer. Considering different factors, such as the production-capacity, payoff capacity and the customer-relationship, etc. order acceptation is rnulti-objectives (attrbution) decision problem. This paper makes use of the neural network to establish a decision model, applies the MATLAB neural network tool-box to solve the problem. In the BP neural network learning method, the weight is adjusted continually to reduce the workload and gain more accurate results more quickly. An application case is used to show the reasonability and feasibility of the method.