Production Order Evaluation Based on Neutral Network Model
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.
Production order BP neural network Order selection MATLAB tool-box
Qiu Jie Chen Zhixiang
School of Management, Huazhong University of Science and Technology, Wuhan 430074, China;School of B School of Business, Sun Yat-sen University, Guangzhou 510275, China
国际会议
第六届管理学国际会议(Proceedings of ICM2007 the 6th International on Management)
武汉
英文
138-144
2007-08-03（万方平台首次上网日期，不代表论文的发表时间）