An Empirical Study of Supply Chain Risk Warning in China’s Automobile Manufacturing Based on BP Neural Network

Ming Hong Zhang; Liang Lu; Yu Liu

doi:10.4028/www.scientific.net/AMR.630.496

Paper Titles

Research on Dynamic Alignment for Sophisticated System Based on ACP Technology
p.473

Research on the Plateau Combat Support of Guided Ammunition
p.479

Green Bicycle Product Designation Using Product Data Management System
p.483

An Improved GA for Job-Shop Scheduling Problem
p.486

Dissemination of Manufacturing Knowledge: Manufacturing Knowledge Portal of Korea
p.490

An Empirical Study of Supply Chain Risk Warning in China’s Automobile Manufacturing Based on BP Neural Network
p.496

A DE-Based Hybrid Algorithm for the Flexible Job-Shop Scheduling Problem
p.502

“Smart Factory”: Intelligent System for Workshop Resource Allocation, Scheduling, Optimization and Controlling in Real Time
p.508

Manufacturing Capability to Improve Project/Engineer-to-Order Manufacturing Performance
p.514

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 630An Empirical Study of Supply Chain Risk Warning in...

An Empirical Study of Supply Chain Risk Warning in China’s Automobile Manufacturing Based on BP Neural Network

Abstract:

From the perspective of risk indicator of supply chain, this paper makes an empirical study of risk warning system in Jinlong Automobile Group in Fujian province. It discusses several indicators that cause risks to supply chain in company and categorize them. Then risk model is tested with artificial neural network to testify its applicability and accuracy. It’s argued that this is a rewarding attempt to go from academic level towards practical use and explores ways of thinking for risk warning system designing.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volume 630)

Pages:

496-501

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.630.496

Citation:

Cite this paper

Online since:

December 2012

Authors:

Ming Hong Zhang, Liang Lu, Yu Liu

Keywords:

Artificial Neural Network (ANN), Balanced Scorecard (BSC), China's Automobile Manufacturing, Risk Warning, Supply Chain

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Ding Hongjiao. The study on supply risk early-warning system in China's automobile manufacturing industry[D]. Guangxi: Guangxi engineering college, (2011).

Google Scholar

[2] Wang Dongmin. Enterprise's risking warning based on artificial neural network[J]. Statistics and Decision, 2006, (5): 158-160.

Google Scholar

[3] Kaplan R S, Norton D P. The Balanced Scorecard-Measures that drive performance[J]. Harvard Business Review, 1992, 70(Jan-Feb): 71-79.

Google Scholar

[4] Ma Shihua, Li Huayan, Lin Yong. The application reasearch of balanced score card on assessment of supply chain[J]. Industrial Engineering and Management, 2002, (4): 5-10.

Google Scholar

[5] Zhang Minghong, Zhang Zhiyuan, Zhu Linlin. The analysis of online insurance investment strategy based on duopoly game model. Communication in Computer and Information Science, v 233 CCIS, n PART 3, pp.135-142.

DOI: 10.1007/978-3-642-24010-2_19

Google Scholar