Fresh Food Cold Chain Distribution Path Optimization Considering Customer Satisfaction And Road Congestion

With the continuous development of China’s economy,people’s requirements for quality of life are becoming increasingly high.The demand for fresh products is increasing,and the attention to quality is also rising.Due to the short shelf life and perishability of fresh products,cold chain logistics distribution has become an indispensable part of our daily life.Cold chain logistics can provide a constant low-temperature environment for fresh products,greatly ensuring that cold chain products maintain freshness and are delivered to customers with good quality.By stipulating that delivery vehicles deliver products within a fixed time window to ensure the quality of fresh food,customers’ demands for food quality are also met.However,compared to ordinary logistics distribution,cold chain logistics distribution with time windows will incur higher costs.Road congestion is becoming increasingly serious,which is bound to lead to increased carbon emissions and inaccurate delivery times.Refrigeration equipment will increase fuel consumption during operation,which inevitably causes pollution to the surrounding environment.Therefore,how to reduce distribution costs,improve delivery punctuality,reasonably arrange distribution path,and balance carbon emissions with product quality have become key issues affecting enterprise development.Based on this point,this paper studies the optimization of fresh and cold chain distribution path considering customer satisfaction and road congestion.The specific research content is as follows:To begin with,research on optimization of single vehicle cold chain logistics distribution path considering customer satisfaction.Taking the distribution path optimization of cold chain logistics under the constraints of delivery freshness and expected time windows as the research content,this paper solves how to reasonably arrange vehicle scheduling for fresh food companies to meet the needs of each distribution point,so as to minimize the total distribution cost.Introducing two time constraints: a freshness change function that exponentially decreases the freshness of fresh products as the delivery time elapses,and a fuzzy time window function with maximum customer tolerance.Combining the two factors of delivery freshness and expected delivery time window,the author optimize the delivery path considering customer satisfaction,achieving the goal of reducing costs and increasing efficiency.Then,research on multi vehicle delivery path optimization considering customer satisfaction and road congestion constraints.Based on the VRP model,a multi vehicle routing optimization model considering the impact of customer satisfaction,carbon emissions,and road congestion is proposed.A fresh agricultural product distribution model with vehicle fixed costs,fuel consumption costs,carbon tax costs,insulation costs,and penalty costs is established.The research shows that compared to the single vehicle distribution model,the improved model in this study is conducive to more flexible selection of required vehicle types,resulting in a reduction in the number of vehicles used and a reduction in fixed costs;The delivery mileage has been reduced,and the loading rate has also been significantly improved due to the reasonable selection of vehicle types,which can effectively reduce the total delivery cost and maximize the benefits of enterprises and customers.Compared to the situation where road congestion is not considered,priority delivery can be given to the time when traffic congestion is considered,which can effectively reduce fuel consumption and carbon tax costs.The time spent on the road is reduced,and the cost of insulation is also decreased as the required insulation time is reduced.In addition,satisfaction with delivery windows has also increased significantly due to more timely delivery.