Abstract
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.
Highlights
Service-oriented manufacturing is a new manufacturing mode by integrating servitization with the traditional manufacturing industry [1], which is based on service and oriented to service and combines manufacturing with both producer and consumer services
Cooperation can integrate the self-interest of agricultural machinery enterprises and suppliers into service-oriented manufacturing alliance that achieve their respective goals, whereas competition will push the self-interest of agricultural machinery enterprises and suppliers into the struggle, thereby losing efficiency. erefore, in the cooperative context, agricultural machinery enterprises and suppliers will regard the activities of other interest groups as their positive external conditions, whereas in the competitive context, agricultural machinery enterprises and suppliers will regard the activities of other interest groups as negative external conditions. [4]. is is one of the main motivations for agricultural machinery enterprises and suppliers to choose to cooperate and form agricultural machinery service-oriented manufacturing alliances
In view of this, based on the existing research results and the characteristics of service-oriented manufacturing, by combining quantitative and qualitative analysis, this paper aims at maximizing collective profits after cooperation and proposes a profit allocation method for agricultural machinery service-oriented manufacturing alliance based on the modified Shapley value, which provides a feasible way for the problem of profit allocation among enterprises
Summary
Service-oriented manufacturing is a new manufacturing mode by integrating servitization with the traditional manufacturing industry [1], which is based on service and oriented to service and combines manufacturing with both producer and consumer services. Ese three mechanisms were evaluated through numerical experiments and further studied the influence of retailers’ fairness concerns on profit allocation [11]; An et al combined the Shapley value method with the network DEA, discussed the resource sharing and income allocation between the stages in the three-stage system, and established several network DEA models to calculate the optimal system before and after cooperation profit [12]; Zheng et al proposed an innovative weighted allocation approach, namely, the variable-weighted Shapley value, to coordinate a closed-loop supply chain [13]. In view of this, based on the existing research results and the characteristics of service-oriented manufacturing, by combining quantitative and qualitative analysis, this paper aims at maximizing collective profits after cooperation and proposes a profit allocation method for agricultural machinery service-oriented manufacturing alliance based on the modified Shapley value, which provides a feasible way for the problem of profit allocation among enterprises
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