A MULTI-OBJECTIVE MODEL FOR COLD CHAIN LOGISTICS CONSIDERING CUSTOMER SATISFACTION

A multi-objective model for cold chain logistics considering customer satisfaction

A multi-objective model for cold chain logistics considering customer satisfaction

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The cold chain logistics (CCL) distribution have been studied by considering customer satisfaction, click here we propose a multi-objective CCL model with the goals of minimal carbon transaction cost, minimal network cost and maximal customer satisfaction.According to the characteristics of the model, an improved Multi-Objective algorithm was designed, which integrates the dynamic crowding distance and differential mutation operator into non-dominated sorting genetic algorithm II (DDNSGA-II).The DDNSGA-II enhances the diversity of the initial hyfrodol population, the local search ability and search accuracy.

Finally, the experimental data show that the proposed approaches effectively increase the customer satisfaction, reduce total distribution costs, and promote energy conservation and emission reduction.

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