Abstract
With the construction of smart cities and the continuous improvement of people's living standards, residents’ demand for fresh agricultural products (FAPs) has increased dramatically. Therefore, reasonable arrangement for intelligent distribution of FAP in smart cities can effectively guarantee product quality, improve distribution efficiency, reduce distribution cost, and increase customer satisfaction. In actual distribution in smart city, road conditions are one of the important factors that affect the distribution. Therefore, according to the influence of road conditions on refrigerated vehicle's (RV's) speed, the RV's speed characteristic models are established. Meanwhile, according to the characteristics of FAP, the penalty cost function based on the time window is constructed. According to the idea of fuzzy logic, the customer satisfaction evaluation model is established. Then, in order to minimize the distribution costs and maximize customer satisfaction as the optimization goal of intelligent distribution in smart city, the mathematical model is built. For solving this model, an improved quantum-behaved particle swarm optimization algorithm (IQPSO) is proposed. Finally, the effectiveness of IQPSO is verified by simulation. The results show that IQPSO also achieves good results, and the model constructed can effectively balance the relationship between the distribution costs and customer satisfaction when distributing FAP in smart city.
I. INTRODUCTION
WITH the continuous development of urbanization and smart cities, more and more FAP are delivered to customers through Online to Offline (O2O) mode. The consumption of fresh agricultural products (FAP) between urban and rural residents increases year by year. Meanwhile, residents put forward higher requirements for timeliness and FAP’s quality in distribution process. Therefore, how to arrange the distribution route scientifically and rationally to ensure the freshness of FAP, improve the distribution efficiency, trade off the distribution cost and customer satisfaction is one of the important problems for distribution in smart city.
VII. CONCLUSION
In the era of the construction of smart cities, intelligent distribution will become an important part of people’s daily life, especially the FAP’s distribution with higher requirements. This paper aims to study the FAP’s intelligent distribution in smart cities. In order to formulate distribution routes scientifically and reasonably, which balances the relationship between distribution costs and customer satisfaction, we establish a mathematical model. By using IQPSO for related experiments, the effectiveness and stability of the algorithm are verified. The results show that the established model and the algorithm used can effectively balance the relationship between distribution costs and customer satisfaction. Therefore, it provides a new solution for balance the relationship between distribution costs and customer satisfaction in FAP’s intelligent distribution in smart cities. In our future works, we will study the mathematical model of VRP with multi supply points and multi demand points. In addition, we will arrange different types of vehicles to provide distribution services for customers with different demands.
