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Profit Allocation of Agricultural Machinery Service-Oriented Manufacturing Alliance Based on Modified Shapley Value Method
Author(s) -
Feng Lyu,
Yanghang Zhang,
Zhuangzhuang Feng,
Jianxin Su
Publication year - 2021
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2021/7632642
Subject(s) - shapley value , topsis , closeness , alliance , profit (economics) , operations research , grey relational analysis , microeconomics , industrial organization , computer science , economics , business , mathematical optimization , mathematics , game theory , mathematical economics , mathematical analysis , political science , law
Shapely value is a method of determining the importance of individuals in the collective, avoiding the equal allocation of profit. The profit allocation on SOM (service-oriented manufacturing) alliance between agricultural machinery manufacturing enterprises and suppliers under the SOM mode is a complex problem restricted by many factors, but the Shapely value method does not consider the differences of member enterprises. Therefore, factors that affect the profit allocation are given in this paper, such as input level, effort level, innovation level, risk factor, and value-added factor. Based on these factors, the Euclidean distance is used to modify the traditional TOPSIS method to determine the profit allocation correction coefficient, and the GRA (grey relational analysis) is introduced into the TOPSIS method to calculate the closeness degree, which reflects the position relationship and consistency of data curve. Based on the modified Shapley value method, a profit allocation method of agricultural machinery service-oriented manufacturing alliance is constructed. Finally, an application example is given to verify the effectiveness of the proposed method.

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