Title :
Study on the method of order optimization and arrangement based on neural network technology
Author :
Wang, XIAO-Feng ; Liu, Bin
Author_Institution :
Sch. of Manage. & Econ., Beijing Inst. of Technol., Beijing, China
Abstract :
In the setting of supply chain, order evaluation of the core manufacture enterprise is a task of demand management and the prerequisite for production planning. Order selection is a multi-attribute issue which involves integrated decision-making. In this paper, firstly, an order priority evaluation index system is constructed within a more systematic and comprehensive supply chain setting. Secondly, a model is set up by means of neural network. Thirdly, Matlab is applied to assist design and optimize network. Finally, an empirical research is carried out to compare and analyze the effects of three different decision-making methods. Study shows this approach is valid and practicable.
Keywords :
computer aided production planning; decision making; order processing; radial basis function networks; supply chain management; decision-making methods; demand management task; integrated decision-making; manufacturing enterprise; neural network technology; order arrangement method; order evaluation; order optimization method; order priority evaluation index system; order selection; production planning; supply chain; Decision making; Design optimization; Manufacturing; Mathematical model; Neural networks; Optimization methods; Optimized production technology; Production planning; Supply chain management; Supply chains; RBF neural network; index system; order production priority; supply chain;
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
DOI :
10.1109/ICMLC.2009.5212657
