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

Author

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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)

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%.

Suggested Citation

  • Yongtao Peng & Yaya Li & Meiling He, 2018. "Research on Optimization of Multi-Commodity Supply and Demand Logistics Network Based on Supernetwork," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 16(3), pages 78-93, July.
    • Handle: RePEc:igg:jeco00:v:16:y:2018:i:3:p:78-93
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    Cited by:

    1. Maria Gabriela Mendonça Peixoto & Maria Cristina Angélico Mendonça & Cleber Carvalho de Castro & Luiz Gonzaga de Castro Júnior & Gustavo Alves de Melo & Mário Otávio Batalha, 2022. "Evaluation of the operational efficiency of southeast intermodal terminals in the grain logistics chain using data envelopment analysis," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(7), pages 3044-3058, October.

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