From the perspective of simultaneous pre-cooling of various types of agricultural products after picking,this paper considers the income differences of different agricultural products and plans the site selection of pre-cooling centers of agricultural products.Combined with the characteristics of different returns of different products in multiple regions and the perishability of fresh agricultural products,a dual-objective optimization model is constructed to cover the sum of the largest product benefits and the sum of related costs such as preservation costs,transportation costs,and time penalty costs.When solving the model,the linear weighting method is used to convert the dual target into a single target,the hybrid coding method is adopted,the corresponding genetic algorithm is designed to solve the problem,and finally the pre-cooling front-end layout of Guanshan Town is used as an example for empirical analysis.The results show that the established dual-objective optimization model has reference significance for solving the site selection research of a variety of fresh agricultural products,and effectively promotes enterprises to make site optimization decisions for production areas.
随着新能源汽车的快速发展，充电时间分配问题成为关注的焦点。现有研究主要集中在根据预先规划的驾驶路线选择充电桩，但对于车主的动态需求却没有提供即时解决方案。为解决该问题，文章首先根据车主的需求量、地理位置以及充电完成度等因素设计了一种需求者优先级函数，然后将充电桩的时间分配问题建模为密封竞价在线双边拍卖，在此基础上，提出了一种真实的交易机制。理论分析证明了该机制不仅满足个体理性、预算平衡，还能够引导供需双方报告真实的到达离开时间以及物品估值。最后通过具体的实验证明了该拍卖机制的实用性和有效性。所提出拍卖机制满足双边市场中交易个体的属性偏好和在线环境的交易特征，为当前的在线充电平台提供了有益的参考。
The intelligent logistics system supported by modern information technology is gradually developing and maturing.Therefore,it is urgent for logistics parks to transform towards intelligence.This article uses intelligent information processing technology to design and establish a digital information management system for smart logistics parks,aiming to interconnect data from various single systems in traditional parks through technologies such as IoT sensing,network communication,and data processing,and solve problems such as subsystem isolation and data islands,improve the security of the park.At the same time,specific service modules are established based on user needs to improve the efficiency of park management and enhance the informationization level of the park.
The paper conducts research on the construction of a logistics management system based on the SPO framework model,aiming to achieve the efficiency and optimization of logistics management through the synergy between the three key links of suppliers,processes,and outputs.A logistics management system that systematically integrates the SPO framework model can effectively improve efficiency,reduce costs,and achieve efficient collaborative operation of the supply chain.At the same time,it is necessary to actively address challenges in information security,data privacy,and willingness to cooperate,in order to further promote the sustainable development of the logistics industry.
Environmental issues such as global climate change,resource scarcity,and environmental pollution are becoming increasingly prominent.While,the logistics industry,as an important economic activity field,has attracted much attention for its environmental impact and sustainable development issues.The study on the composition of logistics costs in terms of environmental impact aims to deeply understand and analyze the costs caused by logistics activities to the environment,and explore strategies and measures to reduce environmental impact.Through this study,it is hoped that reasonable decision-making and management methods can be provided for logistics enterprises to achieve a win-win situation of environmental sustainability and economic benefits.
