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

Volume

5

fYear

2009

fDate

12-15 July 2009

Firstpage

2697

Lastpage

2701

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICMLC.2009.5212657

Filename

5212657