Research on Optimization of Multi-Commodity Supply and Demand Logistics Network Based on Supernetwork

Yongtao Peng, Yaya Li and Meiling He
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Yongtao Peng: School of Management, Jiangsu University, Zhenjiang, China
Yaya Li: School of Finance and Economics, Jiangsu University, Zhenjiang, China
Meiling He: School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, China

Journal of Electronic Commerce in Organizations (JECO), 2018, vol. 16, issue 3, 78-93

Abstract: For the realization, a qualitative and quantitative description of matching degree between the elements for logistics supply network and demand network, logistics super network models are constructed by the theory of super network. Faced with the problems of diverse demand and massive circulation for commodities, this article studies the structure of the logistics super network of multi-commodity circulation and establishes the continuous cost function of the logistics demand and supply, reflecting the logistics cost of different commodities in different phrases. This article aims to establish the optimization model of logistics supernetwork by aiming to maximize the matching of supply and demand of multi-commodity. The model is transformed into the variational inequality problem, and proves the existence and uniqueness of the equivalence solution. Use the case of the logistics supernetwork of coal, a modified projection algorithm is adopted and the fact is revealed that improving the supply capacity of the network matching may have the original 81.3% increase to 90.5%, improving the impact of the relationship between trades, matching degree can be increased to 90.1%.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jeco00:v:16:y:2018:i:3:p:78-93

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