文献类型：期刊文献

英文题名：Intelligent Distribution of Fresh Agricultural Products in Smart City

作者：Wang, Heng[1];Li, Wei[1];Zhao, Zhenzhen[2];Wang, Zhenfeng[1];Li, Menghan[1];Li, Defeng[1]

第一作者：Wang, Heng

通讯作者：Li, DF[1]

机构：[1]Henan Agr Univ, Coll Mech & Elect Engn, Zhengzhou 450002, Peoples R China;[2]Henan Univ Econ & Law, Coll Comp & Informat Engn, Zhengzhou 450002, Peoples R China

第一机构：Henan Agr Univ, Coll Mech & Elect Engn, Zhengzhou 450002, Peoples R China

通讯机构：[1]corresponding author), Henan Agr Univ, Coll Mech & Elect Engn, Zhengzhou 450002, Peoples R China.

年份：2022

卷号：18

期号：2

起止页码：1220-1230

外文期刊名：IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS

收录：;EI(收录号：20211610231702);Scopus(收录号：2-s2.0-85104243172);WOS:【SCI-EXPANDED(收录号:WOS:000712564700052)】；

语种：英文

外文关键词：Customer satisfaction; Smart cities; Optimization; Meteorology; Mathematical model; Roads; Logistics; Customer satisfaction; fresh agricultural products (FAPs); intelligent distribution; smart city; vehicle routing

摘要：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.