Collaborative Logistics Profit Distribution Model Base on Improved Shapley Value

Under the premise of determined transportation tasks and determined collaboration tasks assigned, this paper defines four factors that influence the distribution of collaborative logistics profits: external logistics providers competing risks, uncertainty external transport risks and information sharing and collaboration satisfaction between internal collaboration logistics providers, established a profit distribution model uses an improved correction factor Shapley value. Finally, we use an example to prove the rationality and validity of the model, thereby protecting the smooth coordination of logistics and sustainable development.

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A Novel Algorithm for Profit Distribution of Sustainable Development Using E-Commerce Supply Chain

Mobile Information Systems ◽

10.1155/2021/1166788 ◽

2021 ◽

Vol 2021 ◽

pp. 1-9

Author(s):

Li Wei

Keyword(s):

Sustainable Development ◽

Supply Chain ◽

Income Distribution ◽

Distribution Coefficient ◽

Shapley Value ◽

Power Supply ◽

Correction Coefficient ◽

Time Cost ◽

Profit Distribution ◽

The Shapley Value

E-commerce supply chain actually deals with the acquisition of the raw materials, their timely processing, and on-time delivery to the right place. It deals with a number of processes such as supply and demand, managing order entry, and inventory tracking. Now profit distribution models are actually stochastic models that are used to optimize the gains and profits in a particular business. They actually generate modern time solutions to the existing problems in a sustainable environment. However, in order to solve the problems existing in the traditional profit distribution algorithm of the e-commerce supply chain, such as low distribution accuracy and large time cost, a profit distribution algorithm of the e-commerce supply chain under the concept of sustainable development was designed. It was supported by the concept of sustainable development, and the coefficient of income distribution is calculated according to the equilibrium bidding strategy of supply chain alliance and its members, net present value of income distribution, total investment, minimum expected rate of return on investment, and other parameters. First, calculate the Shapley value of the profit distribution of the power supply chain, and obtain the correction coefficient through the correction matrix, dimensionless processing, and analytic hierarchy process. Use the correction coefficient to correct the Shapley value and the income distribution coefficient to realize the design of the profit distribution algorithm for the power supply chain. The experimental results show that the algorithm has low relative error rate, high precision, and short time cost of profit distribution coefficient calculation.

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Research on the Optimization of Logistics System for a Typical Automobile Manufacturing Company

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.687-691.4450 ◽

2014 ◽

Vol 687-691 ◽

pp. 4450-4453

Author(s):

Hong Xin Li ◽

You Long Cui ◽

Xue Min Zhang

Keyword(s):

Sustainable Development ◽

Correction Factor ◽

Shapley Value ◽

Collaborative Relationship ◽

Logistics System ◽

Automobile Manufacturing ◽

Profit Allocation ◽

Automobile Manufacturer ◽

Set Up ◽

First Time

The optimization of logistics system is an important topic in the area of transportation, especially how to allocate profit of every member can influence sustainable development of collaborative relationship. In this paper the collaborative concept is introduced to automobile manufacturing, and the structure formed by collaborative members including an automobile manufacturer, a logistics supplier and a logistics seller is set up for the first time. Among the members, the automobile manufacturer is the key member; the logistics supplier and the logistics seller are members with relative freedom. Then, a profit allocation method based on Shapley value with risk correction factor according to contribution degree is put forward. Last, several profit allocation methods are analyzed by an example, and the studying result shows that the method suggested in this paper does well in coordination with profit of every member in automobile manufacturing.

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A Profit Distribution Model among Enterprises in Mixed Alliance Based on the Shapley Value

International Conference on Transportation Engineering 2007 ◽

10.1061/40932(246)107 ◽

2007 ◽

Author(s):

Zheng-gang He ◽

Wei Liao ◽

Yi Liao ◽

Bin Shuai

Keyword(s):

Shapley Value ◽

Distribution Model ◽

Profit Distribution ◽

The Shapley Value

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Profit distribution of liner alliance based on shapley value

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-189993 ◽

2021 ◽

pp. 1-5

Author(s):

Bin Guo ◽

Shengyue Hao ◽

Guangmei Cao ◽

Honghu Gao

Keyword(s):

Decision Making ◽

Customer Satisfaction ◽

Shapley Value ◽

Case Analysis ◽

Distribution Method ◽

New Model ◽

Profit Distribution ◽

Scientific Decision ◽

Stable Development

Profit distribution plays an important role in the sustainable and stable development of liner alliances, this paper tries to solve the profit distribution issues in the liner alliance based on Shapley Value Method. Meanwhile, seeing that there is little consideration from the customer satisfaction, this paper establishes a new model by revising Shapley Value Method to distribute the profit of liner alliances from the perspectives of suppliers and customers and carry out verification through case analysis. The profit distribution method proposed in the paper is helpful to the reasonable profit distribution of liner alliance. It ensures the continuity and stability of liner alliance and provides a scientific decision-making basis for the profit distribution of liner alliance.

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A Profit Distribution Model of Reverse Logistics Based on Fuzzy DEA Efficiency—Modified Shapley Value

Sustainability ◽

10.3390/su13137354 ◽

2021 ◽

Vol 13 (13) ◽

pp. 7354

Author(s):

Jiekun Song ◽

Xiaoping Ma ◽

Rui Chen

Keyword(s):

Shapley Value ◽

Reverse Logistics ◽

Service Providers ◽

Third Party ◽

Output Data ◽

Profit Distribution ◽

Logistics Service ◽

Input And Output ◽

Value Model ◽

Fuzzy Dea

Reverse logistics is an important way to realize sustainable production and consumption. With the emergence of professional third-party reverse logistics service providers, the outsourcing model has become the main mode of reverse logistics. Whether the distribution of cooperative profit among multiple participants is fair or not determines the quality of the implementation of the outsourcing mode. The traditional Shapley value model is often used to distribute cooperative profit. Since its distribution basis is the marginal profit contribution of each member enterprise to different alliances, it is necessary to estimate the profit of each alliance. However, it is difficult to ensure the accuracy of this estimation, which makes the distribution lack of objectivity. Once the actual profit share deviates from the expectation of member enterprise, the sustainability of the reverse logistics alliance will be affected. This study considers the marginal efficiency contribution of each member enterprise to the alliance and applies it to replace the marginal profit contribution. As the input and output data of reverse logistics cannot be accurately separated from those of the whole enterprise, they are often uncertain. In this paper, we assume that each member enterprise’s input and output data are fuzzy numbers and construct an efficiency measurement model based on fuzzy DEA. Then, we define the characteristic function of alliance and propose a modified Shapley value model to fairly distribute cooperative profit. Finally, an example comprising of two manufacturing enterprises, one sales enterprise, and one third-party reverse logistics service provider is put forward to verify the model’s feasibility and effectiveness. This paper provides a reference for the profit distribution of the reverse logistics.

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