scholarly journals Split delivery scheme for vehicle supported UAV

2022 ◽  
Vol 355 ◽  
pp. 02065
Author(s):  
Luying Dong ◽  
Shuhan Ma ◽  
Yajuan Han ◽  
Yipeng Zhou

The traditional demand split logistics distribution schemes are mainly based on vehicle distribution. In recent years, with the rapid development of civil UAVs, the use of UAVs for distribution will be more efficient and economical in some specific conditions. In this paper, through the analysis of the advantages of UAV distribution, we simulate the demands and distribution schemes in real scene, especially in remote mountainous areas. And then, we propose to define a demand-splitting distribution scheme of vehicle-supported UAV, which ensures the customer point will be satisfy demand when the loading capacity of the UAV is exceeded. This scheme aims to provides a realizable distribution scheme for the customers point in mountainous areas with large demand.

2016 ◽  
Vol 11 (7) ◽  
pp. 163
Author(s):  
Xinyi Dong ◽  
Hongmei Ju ◽  
Sifan Yin

<p>E-commerce has a rapid development with the advent of the Internet era, the era of “Internet +” also let many industries to find new opportunities. Now online shopping has become a mainstream to meet the needs of people’s life, especially in the developed cities, more and more people are willing to buy all sorts of goods in e - Bay, Amazon, Sunning, JD and other large e-commerce enterprises. Business enterprise needs to deliver intact goods quickly to customers to improve customers’ intention of purchasing. So the development of e-commerce and express industry is closely linked. The end of the city logistics needs to contact with consumers directly as the last part of the whole process in normal logistics distribution, which may occur some problems about the damage of goods, slow information feedback, service quality and other issues will reduce the satisfaction of consumers and affect reputation of companies. This article use ISM technology to analyze the influencing factors of the logistics of the ecommerce enterprise from the perspective of consumers, and divide all of the factors into three levels, each level contains different meanings which make a reference for the trend of development of the end of city logistics distribution. </p>


2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Rong Yu ◽  
Zhong Wu ◽  
Shaojian Qu

Logistics distribution plays an important role in the operation of e-commerce firms. This paper considers two logistics distribution modes with service competition: the e-commerce platform self-distribution (SDL) mode and third-party logistics (TPL) mode. By introducing consumer behavior into the model, we examine the competition between two firms with the same functionalities in the context of e-commerce. According to the real scene, we build the corresponding mathematical optimization model. Each firm needs to decide a logistics distribution mode and a corresponding price for the selected logistics mode. We first analyze the two firms chosen logistics modes and prices simultaneously and then extend it to Stackelberg game situation. We find out the optimal strategy for two firms. Finally, we propose numerical analysis to identify our models and provide a series of managerial insights.


2014 ◽  
Vol 971-973 ◽  
pp. 1499-1503
Author(s):  
Zuo Wei Huang ◽  
Shu Guang Wu ◽  
Tao Xin Zhang

With the rapid development of spatial information technology and the increasingly artificial intelligence knowledge, MAS plays a more and more important role in conducting image segmentation.Considering the shortcomings of current segmentation method,a new algorithm based on MAS theory is proposed, It combines spectral and shape information in region merging.employer a number of agents to control the merging procedure in different regions and make the global merging control more optimal by utilizing the advantages of MAS,The results show that the algorithm is very effective for image segmentation both in urban and mountainous areas.


2018 ◽  
Vol 227 ◽  
pp. 02018
Author(s):  
Jianchang Lu ◽  
Yaxin Zhao

With the rapid development of food refrigeration and freezing technology, food cryogenic storage and vehicle transportation scheduling technology, the cold chain logistics industry has entered a period of rapid development. According to the problem of urban cold chain distribution route, based on the vehicle distribution model with time window, the minimum cost of transportation, cost of energy, cost of goods, penalty cost is the objective function, and the urban cold chain logistics distribution path is established. Optimized mathematical model. According to the actual case, the analysis of the cold chain distribution model is carried out by using the analytical genetic algorithm, and the optimal combination of the distribution paths with the lowest total cost is obtained, which has certain reference significance for the urban cold chain logistics distribution route problem.


2019 ◽  
Vol 11 (21) ◽  
pp. 5951 ◽  
Author(s):  
Song

In recent years, with the unceasing acceleration of China’s urbanization and rapid development of the country’s economy, cropland abandonment has become an ongoing issue, especially in mountainous areas. Mapping abandoned cropland using remote sensing technology is still challenging due to the difficulties in distinguishing abandoned cropland from fallowed land. In addition, there are few credible approaches to map timing and recultivation of abandoned cropland. In this context, this research developed an annual land-use trajectory approach to map different types of abandoned cropland based on freely available Landsat and HJ-1 satellite images with a spatial resolution of 30 m. Based on this method, five types of cropland change, including one type of fallowed land and two types of abandoned land, were identified in a mountainous town of China (Zhongduo). In addition, the timing and recultivation of abandoned cropland were assessed. The accuracy of the abandonment map was assessed as high as 86.67%. It was found that the percentages of spontaneous abandoned, induced abandoned, fallowed, stable, and lost cropland in Zhongduo were 23.16%, 8.40%, 13.69%, 27.84%, and 26.91% from 2012 to 2017, respectively. The average time for spontaneously abandoned cropland was 3.45 years. Furthermore, 50.54% of the spontaneously abandoned cropland and 12.91% of induced abandoned cropland were recultivated due to fluctuating prices of agricultural products and materials, and the implemented land transfer policy.


2014 ◽  
Vol 1030-1032 ◽  
pp. 2621-2624
Author(s):  
Xiao Han Liu ◽  
Ying Long Liu ◽  
Yong Liang Zhou ◽  
Jin Xin Cao

With the rapid development of economy, campus logistics industry has rapidly developed. At present, the university logistics has obtained certain achievements, but it also has many problems such as scope of distribution and distribution quality. In order to solve the above situation, we should make full use of campus resources, and establish campus logistics distribution center, to accelerate the process of logistics management for the construction of the campus, and to provide personalized service, logistics for the construction of the healthy and orderly campus environment.


2021 ◽  
Vol 5 (9) ◽  
pp. 1-4
Author(s):  
Xiao Han

With the rapid development of computer technology, a new technology – virtual reality has arisen at this historical moment. This technology mainly creates a real scene through simulation so as to reflect the changing form of objects. As a complex art form, the characteristics of interior design cannot be displayed only through pictures and words but with the effective application of virtual reality, the development of interior design can be promoted. This article mainly analyzes the current teaching situation of interior design and puts forward specific application strategies of virtual reality in the teaching of interior design, which have guiding significance in improving the teaching effect of interior design.


2019 ◽  
Vol 2019 ◽  
pp. 1-11
Author(s):  
Xiang Xu ◽  
Yue Li ◽  
Ruiyun Tang

With the rapid development of online shopping in recent years, logistics distribution has received much attention from enterprises and online consumers. Logistics distribution involves many factors and complex processes; conventional qualitative methods are unable to provide an effective analysis. Thus, this paper sets a framework to solve the above problem. A case study of an E-commerce enterprise in Shanghai on logistics distribution is proposed to discretize the whole process and minimize the total costs. Then the AnyLogic software is used to simulate and optimize the system from three aspects, including routes selection, warehouses quantity, and warehouses layout. Finally, this paper analyzes the simulation results, which would provide some valuable references for practical logistics.


2017 ◽  
Vol 865 ◽  
pp. 681-688 ◽  
Author(s):  
Liang Yong Chu ◽  
Shuo Dang ◽  
Gen Pei Xie ◽  
Cong Meng

The development of market economy has put forward new demands to the logistics. However, the traditional artificial decision has been unable to meet the demand of the market. Under the rapid development of Internet of things and information technology, the application of new technology in logistics vehicle scheduling makes it more reasonable, also, reduce the logistics cost. On the basis of traditional logistics vehicle scheduling process, the paper designs a framework of logistics distribution system from ontology view, combined with the application of ontology and agent in the logistics vehicle scheduling and material scheduling. Then, it sets up the vehicle scheduling system model based on the multi-Agent, to analyse the process of mutual cooperation between agents if they complete the task together. Meanwhile, the paper also establishes a communication mechanism based on the blackboard system, to further analyse the cooperation mechanism between Agents.


Author(s):  
Lan Lan

With the rapid development of the Internet, e-commerce business has gradually emerged. However, its logistics distribution route planning method has problems such as redundancy of logistics data, which cannot achieve centralized planning of distribution paths, resulting in low e-commerce logistics distribution efficiency and long distribution distances, higher cost. Therefore, in order to improve the ability of logistics distribution path planning, this paper designs an e-commerce logistics distribution path planning method based on improved genetic algorithm. Optimize the analysis of e-commerce logistics distribution nodes, establish a modern logistics distribution system, and optimize the total transportation time and transportation cost under the location model of the logistics distribution center. Using hybrid search algorithm and improved genetic algorithm parameters, an improved genetic algorithm distribution path planning model is established to select the optimal path of logistics distribution, and realize e-commerce logistics distribution path with high accuracy, low error and good convergence. planning. According to the experimental results, the method in this paper can effectively shorten the distance of e-commerce logistics distribution path, reduce the number of distribution vehicles, reduce distribution costs, improve distribution efficiency, and effectively achieve centralized planning of logistics distribution. Therefore, the e-commerce logistics distribution route planning method based on improved genetic algorithm has high practical application value.


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