- ISSN 0258-2724
- CN 51-1277/U
- EI Compendex
- Scopus
- Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
- Chinese S&T Journal Citation Reports
- Chinese Science Citation Database
| Citation: | WANG Na, LI Yinzhen, CHAI Huo. Decision-Making Approach of Two-Sided Many-to-Many Matching of Supply and Demand for Logistics Service Based on Matching Balance[J]. Journal of Southwest Jiaotong University, 2022, 57(2): 425-433. doi: 10.3969/j.issn.0258-2724.20200567
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A two-sided matching method that considers the overall satisfaction and individual satisfaction of supply and demand sides is proposed to solve many-to-many matching problem in logistics service with complete preference ordinal information. Firstly, considering the matching balance of both sides, a two-stage optimization model of many-to-many supply-demand matching is constructed for logistics services. Then the Pareto solution set of the tow-sided matching is obtained by solving the model with the multi-objective genetic algorithm. Finally, the logistics service outsourcing in a certain region is used as an example, and in this case, without considering the individual satisfaction, the variance of individual satisfaction of the demander and the supplier is 0.57 and 0.22 respectively; when the threshold value of individual satisfaction is 0.22, a matching scheme that achieves the balance of individual satisfaction can be obtained. If the balance of overall satisfaction and individual satisfaction is taken into account, it is possible to ensure the overall optimization and better balance the matching satisfaction between the two sides of supply and demand in logistics services, and guide decision makers to obtain an optimal satisfactory match between supply and demand.
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