Study on the method of order optimization and arrangement based on neural network technology

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...

Full description

Saved in:
Bibliographic Details
Published in2009 International Conference on Machine Learning and Cybernetics Vol. 5; pp. 2697 - 2701
Main Authors Xiao-Feng Wang, Bin Liu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2009
Subjects
Decision making
Design optimization
index system
Manufacturing
Mathematical model
Neural networks
Optimization methods
Optimized production technology
order production priority
Production planning
RBF neural network
supply chain
Supply chain management
Supply chains
Online AccessGet full text
ISBN9781424437023
1424437024
ISSN2160-133X
DOI10.1109/ICMLC.2009.5212657

Cover

More Information
Summary: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.
ISBN:9781424437023
1424437024
ISSN:2160-133X
DOI:10.1109/ICMLC.2009.5212657