Title :
Research on the Optimization Method of Logistics Service Capacity Based on Dynamic QFD
Author :
Shushan Zhang ; Yue Dong ; Bin Pei ; Xin Yang
Author_Institution :
Transp. Coll., Jilin Univ., Changchun
Abstract :
Based on the demands for logistics services, establish a dynamic neural network for quality function deployment, and combined with an automotive logistics enterprise, build a linear programming model for evaluation. The optimization method this paper presents will make logistics enterprises get the market demand momentarily and optimize the indexes possibly.
Keywords :
automobile industry; linear programming; logistics; neural nets; quality function deployment; automotive logistics enterprise; dynamic QFD; dynamic neural network; linear programming; logistics service capacity; optimization method; quality function deployment; Automotive engineering; Dynamic programming; Information analysis; Logistics; Neural networks; Optimization methods; Product design; Quality function deployment; Space technology; Vehicle dynamics; BP neural network; Logistics Enterprise; QFD; linear programming model;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3357-5
DOI :
10.1109/ICICTA.2008.136