Modeling to Plan and Evaluate the E-Supply Chain Management Platform
This article mainly introduces some approaches and strategies on how to plan and evaluate the E-Supply Chain Management Platform (E-SCMP) based on the Elman Artificial Neural Network (Elman ANN) so as to improve Chinese Supply Chain performance. This article divides into 4 sections: The first is to review current situation of the E-SCMP and point out there are a few weaknesses in the theories and application of E-SCMP on the International. The second is to analyze main six differences between Chinese Supply Chain and foreign Supply Chain and suggest that foreign mode can meet the requirements of Chinese Supply Chains not well, as is main factor that leads most famous Chinese enterprises to fail in E-SCMP. The third is to describe how to plan and design the E-SCMP in detail from three aspects. The last is evaluate the E-SCMP based on the Elman ANN and apply its model to two examples in China. Modeling to plan and evaluate the E-SCMP based on the Elman ANN is a comparatively novel methodology and complicated system engineering. So, the result of research in this article is only for reference.
supply chain e-business E-SCMP ANN modeling planning Evaluating
Lijuan Huang
School of Information Management, Post-doctor Workstation, Jiangxi University of Finance & Economics, Nanchang, 330013, China
国际会议
南昌
英文
326-330
2009-09-01（万方平台首次上网日期，不代表论文的发表时间）