Profit distribution of liner alliance based on shapley value

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.

scholarly journals Research on Profit Distribution of Software Outsourcing Alliances Based on the Improved Shapley Value Model

2013 ◽  
Vol 13 (Special-Issue) ◽  
pp. 100-109
Author(s):  
Xiyan Lv ◽  
Suyan Zhao
Keyword(s):  
Shapley Value ◽  
Influence Factors ◽  
Distribution Method ◽  
Software Outsourcing ◽  
Profit Distribution ◽  
Theoretical Support ◽  
The Shapley Value ◽  
The Future ◽  
Value Model

Abstract With the development of software outsourcing industry, there is a growing trend to establish the software outsourcing alliances. Whether alliances’ profit distribution is reasonable affects directly and significantly alliances’ stability. This paper introduces the Shapley value method which is a common profit distribution method applicable to multiple people cooperation. Due to the weakness of the Shapley value method, AHP is used to analyze the influence factors and adjust the model. The anticipated outcome of the result is to provide a theoretical support for the profit distribution of the software outsourcing alliances in the future.

Research on the Profit Distribution of Logistics Company Strategic Alliance Based on Shapley Value

2013 ◽  
Vol 765-767 ◽  
pp. 3253-3257 ◽  
Author(s):  
You Fang Huang ◽  
Wei Long Ye ◽  
Fei Fei Zhou
Keyword(s):  
Shapley Value ◽  
Strategic Alliance ◽  
Original Model ◽  
New Model ◽  
Profit Distribution ◽  
Logistics Company ◽  
Business Mode

Strategic alliance is an important business mode for Chinese logistics companies internationalization, and the profit distribution among companies is the key issue maintaining the alliances stability. This article tries to solve the profit distribution issues in the international strategic alliance based on Shapley value, meanwhile, points out the problems still remain in the original model, establishes a new model by revising Shapley value method based on considering elements including risks, investments, extra contribution and company capability. The new model has been tested and verified, and can ensure more reasonable profit distribution among alliance members, and can benefit the persistency of the alliance.

A novel q-rung orthopair fuzzy TODIM approach for multi-criteria group decision making based on Shapley value and relative entropy

2021 ◽  
Vol 40 (1) ◽  
pp. 235-250
Author(s):  
Liuxin Chen ◽  
Nanfang Luo ◽  
Xiaoling Gou
Keyword(s):  
Decision Making ◽  
Relative Entropy ◽  
Group Decision Making ◽  
Shapley Value ◽  
Group Decision ◽  
Similarity Measures ◽  
Entropy Measure ◽  
Shapley Values ◽  
Interactive Relationship ◽  
The Difference

In the real multi-criteria group decision making (MCGDM) problems, there will be an interactive relationship among different decision makers (DMs). To identify the overall influence, we define the Shapley value as the DM’s weight. Entropy is a measure which makes it better than similarity measures to recognize a group decision making problem. Since we propose a relative entropy to measure the difference between two systems, which improves the accuracy of the distance measure.In this paper, a MCGDM approach named as TODIM is presented under q-rung orthopair fuzzy information.The proposed TODIM approach is developed for correlative MCGDM problems, in which the weights of the DMs are calculated in terms of Shapley values and the dominance matrices are evaluated based on relative entropy measure with q-rung orthopair fuzzy information.Furthermore, the efficacy of the proposed Gq-ROFWA operator and the novel TODIM is demonstrated through a selection problem of modern enterprises risk investment. A comparative analysis with existing methods is presented to validate the efficiency of the approach.

scholarly journals Scientific Decision Making, Policy Decisions, and the Obesity Pandemic

2013 ◽  
Vol 88 (6) ◽  
pp. 593-604 ◽  
Author(s):  
James R. Hebert ◽  
David B. Allison ◽  
Edward Archer ◽  
Carl J. Lavie ◽  
Steven N. Blair
Keyword(s):  
Decision Making ◽  
Policy Decisions ◽  
Scientific Decision

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

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.

A scientific decision-making framework for supplier outsourcing using hesitant fuzzy information

2018 ◽  
Vol 22 (22) ◽  
pp. 7445-7461 ◽  
Author(s):  
R. Krishankumar ◽  
K. S. Ravichandran ◽  
K. K. Murthy ◽  
A. B. Saeid
Keyword(s):  
Decision Making ◽  
Fuzzy Information ◽  
Decision Making Framework ◽  
Scientific Decision
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