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Issue title: Special Section: Intelligent Data Aggregation Inspired Paradigm and Approaches in IoT Applications
Guest editors: Xiaohui Yuan and Mohamed Elhoseny
Article type: Research Article
Authors: Ouyang, Xiaoxuna | Dai, Yuqinb; *
Affiliations: [a] College of Business Administration, Hunan University of Commerce, Hunan, China | [b] College of Economics and Trade, Hunan University of Commerce, Hunan, China
Correspondence: [*] Corresponding author. Y. Dai, College of Economics and Trade, Hunan University of Commerce, Hunan, China. E-mail: delladyq@163.com.
Abstract: Supply chain network equilibrium (SCNE) model can provide many important results for supply chain network. Such as the production of product, the trade volume between supply chain members, and product price, etc. In this paper, the authors analyze the supply chain equilibrium and transportation network efficiency based on MSA algorithms and multilayer decision model. The super network equilibrium problem was converted to transportation network equilibrium problem, and then was planned and resolved. An example was introduced in the paper, and the model was solved. The results showed that the expansion of congestion link capacity would improve the efficiency of supply chain network. New link can cause a significant change in the distribution channel of supply chain network. Those all prove that model can be used to study the interact between related policy of road transport and benefit of supply chain network. At the same time, the model built in this paper can be applied when extended in some direction, which is the next step of research work.
Keywords: MSA algorithm, multi-level decision-making, supply chain equilibrium, network efficiency
DOI: 10.3233/JIFS-179077
Journal: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 193-204, 2019
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