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http://dx.doi.org/10.3745/JIPS.04.0203

Supply Chain Trust Evaluation Model Based on Improved Chain Iteration Method  

Jiao, Hongqiang (College of Information Engineering, Handan College)
Ding, Wanning (College of Information Engineering, Handan College)
Wang, Xinxin (College of Art, Hebei University of Science and Technology)
Publication Information
Journal of Information Processing Systems / v.17, no.1, 2021 , pp. 136-150 More about this Journal
Abstract
The modern market is highly competitive. It has progressed from traditional competition between enterprises to competition between supply chains. To ensure that enterprise can form the best strategy consistently, it is necessary to evaluate the trust of other enterprises in the supply chain. First, this paper analyzes the background and significance of supply chain trust research, analyzes and expounds on the qualitative and quantitative methods of supply chain trust evaluation, and summarizes the research in this field. Analytic hierarchy process (AHP) is the most frequently used method in the literature to evaluate and rank criteria through data analysis. However, the input data for AHP analysis is based on human judgment, and hence there is every possibility that the data may be vague to some extent. Therefore, in view of the above problems, this study improves the global trust method based on chain iteration. The improved global trust evaluation method based on chain iteration is more flexible and practical, hence, it can more accurately evaluate supply chain trust. Finally, combined with an actual case of Zhaoxian Chengji Food Co. Ltd., the paper qualitatively analyzes the current situation of supply chain trust management and effectively strengthens the supervision of enterprises to cooperative enterprises. Thus, the company can identify problems on time and strategic adjustments can be implemented accordingly. The effectiveness of the evaluation method proposed in this paper is demonstrated through a quantitative evaluation of its trust in downstream enterprise A. Results suggest that the subjective preferences of and historical transactions together affect the final evaluation of trust.
Keywords
Chain Iteration; Supply Chain; Trust Evaluation;
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