A Vehicle Routing Optimization Problem For Cold Chain Logistics Considering Customer Satisfaction And Carbon Emissions

Under the fierce market competition and the demand of low-carbon economy,customer experience and green development become more and more important.Therefore,from the perspective of market competition,social responsibility,and corporate image,cold chain logistics companies must pay attention to customer satisfaction and carbon emissions to achieve better development.In order to simultaneously consider cost,customer satisfaction,and carbon emissions in the cold chain logistics path optimization problem,this paper proposes a comprehensive cold chain vehicle routing problem optimization model.For customer satisfaction,this paper uses the punctuality of delivery as the evaluation standard.For carbon emissions,this paper introduces the carbon trading mechanism to calculate carbon emissions costs.For the objective function,based on the idea of cost-benefit,the objective function is determined as the unit satisfaction cost is minimized.In order to solve the model,this paper uses the cycle evolutionary genetic algorithm(CEGA),which is based on the idea that biological evolution in nature has "evolution-degeneration" coexistence characteristics.First,the combination operator is used to make the population evolve within a specified period,and then use the crossover and mutation strategy causes the population's average fitness to temporarily degenerate,which makes the whole iteration process spiral evolution.Therefore,this operation improves the search characteristics of standard genetic algorithms that are too premature.Finally,through the standard VRP database,the algorithm's optimization ability is tested,and it is found that CEGA's optimization ability is stronger than the standard genetic algorithm.An actual case data is used with a cycle evolutionary genetic algorithm to carry out computational experiments in the model.First,by comparing with the cost minimization model,the optimization results of the comprehensive model show that increasing the total cost by a small amount can greatly improve average customer satisfaction,thereby obtaining a highly cost-effective solution.Second,the impact of carbon price on total costs,carbon emissions,and average customer satisfaction have also been numerically analyzed.The experimental results show that as carbon price increases,there are two opposite trends in total costs,depending on whether carbon quota is sufficient.Increasing carbon price within a certain range can effectively reduce carbon emissions,but at the same time it will reduce average customer satisfaction to a certain extent;there is a trade-off between carbon emissions and customer satisfaction.Finally,some practical managerial implications for enterprises and government are offered.