Research on Early-Warning Model for Food Supply Chain Risk Based on Logistic Regression

To find the risks in food supply chain and to take appropriate measures to guard against risks and increase capacity of food supply chain to resist risks. The paper established Logistic regression early-warning model to recognise magnitude of risks based on principal component analysis and Logistic...

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Bibliographic Details
Published in2010 International Conference on Logistics Engineering and Intelligent Transportation Systems pp. 1 - 4
Main Authors Lei Xu, Qianli Dong, Kaihong Xiao
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2010
Subjects
Analytical models
Indexes
Principal component analysis
Regression analysis
Supply chains
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Summary:To find the risks in food supply chain and to take appropriate measures to guard against risks and increase capacity of food supply chain to resist risks. The paper established Logistic regression early-warning model to recognise magnitude of risks based on principal component analysis and Logistic regression analysis. An empirical analysis is carried out to test the model by take out some food enterprises randomly as analytic samples and calculate their risk indices in supply chain. The result shows this method is applicable to food supply chain risk early-warning.
ISBN:1424487765
9781424487769
DOI:10.1109/LEITS.2010.5665012