E-commerce logistics distribution mode research

Sun, Tao; Xue, Dashen

doi:10.1109/cict.2015.102

Cited by 6 publications

(5 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, the company can control the distribution of goods and adapt to changes and market demands in time. Virtual logistics distribution mode is a new distribution concept in recent years, which refers to the mode of establishing dynamic alliance and realizing logistics distribution with the concept of virtual enterprise [12]. The specific flow is shown in Figure 4.…”

Section: Basic Theorymentioning

confidence: 99%

“…Formula (10) indicates that all operations must be arranged in an orderly manner on a specific tractor. Formulas (11) to (12) represent time series limits for each operation, Formula (13) indicates that all operations must be completed within the working time available to the trac-tor, and Formulas ( 14) and ( 15) represent time window limits at start and end, respectively.…”

Section: Mathematical Modeling Of Vehicle Schedulingmentioning

confidence: 99%

See 1 more Smart Citation

Research on Emergency Logistics Vehicle Route Scheduling and Optimization Method Based on Multi-Intelligent Decision System

Liang

2022

Journal of Sensors

View full text Add to dashboard Cite

Logistics distribution vehicle planning is an important issue in logistics transportation activities, and it is also a research hotspot in theoretical circles at home and abroad. At present, many studies have focused on establishing vehicle planning models and optimizing vehicle planning in different environments and have achieved rich results. As an important part of transportation production process, the efficiency of logistics distribution is very important to the whole production process. Especially for emergency logistics, every minute is very critical for emergency situations such as disaster relief. In order to improve the efficiency of emergency logistics, this paper applies multiagent technology to emergency logistics and puts forward an integrated modeling method of enterprise macromodeling, business process mesomodeling, and micromodel design. Using the agent-oriented system development method, an emergency logistics distribution vehicle planning model system is established. The development process of multiagent automatic trading system is described. The results show that it is feasible and effective to use multi-intelligent fuselage technology for emergency logistics distribution vehicle planning and decision-making. The algorithm proposed in this paper has advantages over the container order sequence processing scheme, and the total cost of order acceptance decreases sharply in the initial stage, which shows the practical convergence of the algorithm. The adjacency search method and Tabu search method deal with the calculation of total labor cost, and the Tabu neighborhood search algorithm obtains better results with lower labor cost.

show abstract

Section: Basic Theorymentioning

confidence: 99%

Section: Mathematical Modeling Of Vehicle Schedulingmentioning

confidence: 99%

Research on Emergency Logistics Vehicle Route Scheduling and Optimization Method Based on Multi-Intelligent Decision System

Liang

2022

Journal of Sensors

View full text Add to dashboard Cite

show abstract

“…Due to the ease, integration, and coordination of logistics as well as the widespread use of information network technology, the manufacturing costs of e-commerce businesses have decreased [11][12][13][14][15]. In addition, transaction costs are decreased as a result of the information optimization of logistical relationships between economic subjects and the narrowing of the economic distance between the parties to a transaction [16][17][18]. Thus, e-commerce businesses are able to spend more capital on production components, creating favorable circumstances for e-commerce scale development [19,20].…”

Section: Review Of the Literature And Hypothesis Developmentmentioning

confidence: 99%

E-Commerce: Does Sustainable Logistics Development Matter?

Teng

2022

Sustainability

View full text Add to dashboard Cite

With the rise of the information industry in recent years, logistics and e-commerce have grown significantly. Logistics are regarded as an essential assurance for the execution of e-commerce transactions. Therefore, this article examines the effect of sustainable logistics development on China’s e-commerce by assessing province data from 2005 to 2020. Using the province and year fixed-effects model for empirical research, the following three empirical conclusions are reached: (1) the development of logistics has a favorable effect on e-commerce; (2) the dynamic link between logistics development and e-commerce is moderated by the speed of logistics development in a U-shaped manner; (3) the aforementioned two conclusions are dissimilar in the eastern, central, and western regions. On the basis of these three findings, several matching recommendations are made. This can serve as a point of reference for the sustainable growth of logistics and e-commerce in the near future. This paper can also contribute to the current literature.

show abstract

“…For the research on the logistics service mode selection method, there are three main aspects, i.e., the selection method based on Ballou two-dimensional matrix, the selection method based on analytic hierarchy process (AHP) and other selection methods [26][27][28][29]. For the research on the selection method based on Ballou two-dimensional matrix, for example, Ballou [26] innovatively established a two-dimensional decision-making model based on the qualitative analysis method, considered the two key factors in the decisionmaking of logistics service mode selection for express enterprises, and proposed Ballou model theory and perfected the theoretical system of logistics service mode selection.…”

Section: Literature Reviewmentioning

confidence: 99%

“…For the research on the selection method based on Ballou two-dimensional matrix, for example, Ballou [26] innovatively established a two-dimensional decision-making model based on the qualitative analysis method, considered the two key factors in the decisionmaking of logistics service mode selection for express enterprises, and proposed Ballou model theory and perfected the theoretical system of logistics service mode selection. For the research on the selection method based on AHP, for example, Sun and Xue [27] established a logistics service mode selection model based on AHP using the combination of qualitative and quantitative research methods. In addition, some scholars have begun to study new decision-making methods for the logistics service mode selection, such as the TOPSIS method [28] and comprehensive analysis and evaluation method [29].…”

Section: Literature Reviewmentioning

confidence: 99%

Logistics Service Mode Selection for Last Mile Delivery: An Analysis Method Considering Customer Utility and Delivery Service Cost

Fan

Cao

et al. 2020

Sustainability

View full text Add to dashboard Cite

Last mile delivery is an important part in the logistics service process of express enterprises since it can directly contact with the customer and affect customer satisfaction. How to select a suitable logistics service mode for last mile delivery with the objectives of lower delivery service cost and higher customer satisfaction is a noteworthy research topic. In this paper, we focus on the analysis method for logistics service mode selection for last mile delivery considering customer utility and delivery service cost. First, we conduct the market survey of customer needs and discuss the market segmentation, and then we propose a customer utility value calculation model based on utility theory. Next, we propose a delivery quantity prediction method based on the time series prediction and customer selection probability calculation. Furthermore, we construct a cost accounting model to determine the delivery service cost. On this basis, we show the selection of the suitable logistics service mode for last mile delivery according to the analysis results of customer utility and delivery service cost. Finally, we show the feasibility and effectiveness of the proposed method by a case analysis.

show abstract

E-commerce logistics distribution mode research

Cited by 6 publications

References 0 publications

Research on Emergency Logistics Vehicle Route Scheduling and Optimization Method Based on Multi-Intelligent Decision System

Research on Emergency Logistics Vehicle Route Scheduling and Optimization Method Based on Multi-Intelligent Decision System

E-Commerce: Does Sustainable Logistics Development Matter?

Logistics Service Mode Selection for Last Mile Delivery: An Analysis Method Considering Customer Utility and Delivery Service Cost

Contact Info

Product

Resources

About