Benefit Distribution Method of Coastal Port Intelligent Logistics Supply Chain under Cloud Computing

Li, Shunhui; Sun, Qiang; Wu, Wulin

doi:10.2112/si93-150.1

Cited by 15 publications

(11 citation statements)

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“…Sun et al [ 32 ] proposed a two-layer programming model to find the optimal location of a logistics distribution center by considering the advantages of customers and logistics planning departments. Some scholars have used the benefit distribution model of coastal port intelligent logistics supply chains based on intelligent bionic swarm evolution optimization control [ 33 – 35 ] or the profit distribution model based on agents [ 36 – 38 ] to realize the benefit distribution among multiple agents. Nadia et al [ 39 ] through investigation and analysis proposed the necessity and importance of establishing alliances for enterprises and analyzed the interests of an alliance as a whole by using the Shapley value method.…”

Section: Literature Reviewmentioning

confidence: 99%

A Decision Method for Benefit Distribution Mechanism of Shared End Distribution on Shapley Value

Zhang

Hou

2022

Computational Intelligence and Neuroscience

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Online shopping has led to the rapid development of e-commerce, and at the same time, the pressure of offline distribution has increased abruptly. Therefore, a current development trend is to share end-to-end distribution against the background of the Internet. The main research content of this paper is the benefit distribution mechanism of shared end distribution. Based on an analysis of the current situation of interest distribution, this paper proposes factors that affect interest distribution from the perspectives of individuals and groups. The suitable income distribution mode of enterprise alliances is chosen from two dimensions—cooperation mode and coordination mechanism. Based on extant theory, this paper proposes a benefit distribution scheme-selection mechanism based on the modified Shapley value method and takes the terminal distribution in the Haidian District of Beijing as an example. The revised income distribution results better reflect the income-generating abilities of different enterprises within a cooperative organization and assign different benefit proportions to this cooperative organization based on different income-generating capacities to provide development incentives and, at the same time, better achieve income distribution.

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Section: Literature Reviewmentioning

confidence: 99%

A Decision Method for Benefit Distribution Mechanism of Shared End Distribution on Shapley Value

Zhang

Hou

2022

Computational Intelligence and Neuroscience

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“…Li et al studied the influence of different optimization schemes on the stability of distribution path through cloud computing analysis technology and established a function model. According to a large number of experimental results, the efficiency and stability of the model for path optimization were verified [17]. According to the data orientation and geographical proximity principle of e-commerce in logistics distribution scheme, Zheng et al formulated path optimization rules based on diversified dimensions and variable impact strategy [18].…”

Section: Related Workmentioning

confidence: 99%

[Retracted] Logistics Distribution Route Optimization Model Based on Recursive Fuzzy Neural Network Algorithm

Liu

2021

Computational Intelligence and Neuroscience

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In recent years, more and more attention has been paid to the utilization of data and information in the logistics distribution path optimization system of e-commerce, but it is difficult to have scientific guarantee in the process of determining the optimal distribution path scheme of e-commerce. How to realize the optimization and adaptive setting of distribution path by using intelligent algorithm has become a hot spot. To battle these issues, this paper studies the logistics distribution path optimization model based on recursive fuzzy neural network algorithm. This paper analyses the research status of logistics distribution path determination scheme and applies the recursive fuzzy neural network algorithm in the selection of e-commerce logistics distribution path scheme. The experimental results show that the recursive fuzzy neural network algorithm can realize the optimization of e-commerce logistics distribution path, and the best distribution route can be made according to the characteristic difference of logistics distribution route, and its distribution accuracy can reach more than 97%.

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“…The research on the adoption and implementation of smart logistics services has been extended to different scenarios according to the visions of the research teams, and the economic requirements or needs. For example, Li et al [34]adopted the least square method to resolve the shortest path problems in port smart logistics using cloud technology. Though, in the solution process, this approach is susceptible to fall into local optimal solution, which damages the optimization results.…”

Section: A Smart Logistics Servicesmentioning

confidence: 99%

An Advanced System to Enhance and Optimize Delivery Operations in a Smart Logistics Environment

et al. 2022

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Optimization of order dispatch operations and delivery time prediction is a major concern in supply chains, mainly for e-commerce, which requires the implementation of advanced solutions to reduce delivery time, minimize costs and maximize customer satisfaction. In practice, they fail to warrant scalable and sustainable solutions as the numbers of orders become larger. For that, proper prediction and optimization for delivery operations are required for optimal logistics management. This paper presents an advanced logistics service, which warrants dynamic coordination among all the actors in the smart logistics environment. The proposed advanced shipping system consists of two main parts: the delivery prediction model to compute the expected arrival time, and a hybrid optimization model to tackle path issues. We demonstrate that the advanced system consistently outperforms conventional standard dispatching methods, which means that the proposed approach effectively contributes to optimizing the distribution chain and reducing costs.

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Benefit Distribution Method of Coastal Port Intelligent Logistics Supply Chain under Cloud Computing

Cited by 15 publications

References 0 publications

A Decision Method for Benefit Distribution Mechanism of Shared End Distribution on Shapley Value

A Decision Method for Benefit Distribution Mechanism of Shared End Distribution on Shapley Value

[Retracted] Logistics Distribution Route Optimization Model Based on Recursive Fuzzy Neural Network Algorithm

An Advanced System to Enhance and Optimize Delivery Operations in a Smart Logistics Environment

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