How to make the individual get the reasonable and practical profit among the fourth party logistics supply chain coalition system is still a question for further study. Considering the characteristics of the fourth party logistics supply chain coalition, this paper combines Shapley Value with Distribution according to Contribution, two methods in the application, and then adjusts the profit allocated to each member reasonably based on the actual coalition situation named improved weighted Shapley Value model. In this paper, we first analyze the fourth party logistics supply chain coalition profit allocation models, the classical Shapley value method. Then, we analyze the weight of individual enterprise in the coalition by the analytic hierarchy process. To each enterprise, the weight is determined by the investment risks, information divulging risks, and failure risks. Finally, the numerical study shows that the profit allocation method improved weighted Shapley value model is relatively rational and practical. Thus, the proposed combined model is a useful profit allocation mechanism for the fourth party logistics supply chain coalition that the contribution and risks are fully considered.
“The fourth party logistics (4PL) [
In this paper the fourth party logistics [
The fourth party logistics delivers supply chain service outsourcing to the fourth party, makes programs about the solutions to the supply chain management, and is responsible for the feedback of the supervision and management of solutions to supply chain management. Supply chain begins with the procurement of raw materials, and then, it produces intermediate products and final products and finally delivers products to consumers by sales system. It is the functional chain structure model consisting of manufacturers, distributors, retailers, and consumers.
The fourth party logistics supply chain refers to that the fourth party logistics service providers integrate and coordinate different types of resources, capabilities, and technologies belonging to competitive and complementary enterprises as shown in Figure
The fourth party logistics supply chain coalition.
Risks arise when the fourth party logistics supply chain operates, because of the unpredicted effects brought by the unconfirmed factors of the inner and outside environment. The deviation between actual profit and expected profit and the possibility of the loss of the individual enterprise in the coalition can be enlarged [
The fourth party logistics supply chain risk management refers to identifying the risks existing when the supply chain operates, analyzing the mechanism, evaluating the effect, controlling and regulating all the risks by taking appropriate measures, and then enhancing the reliability of the supply chain operation through coalition among enterprises.
The core enterprise of the supply chain knows the requirements of the market and coordinates with the other partners, and all the enterprises work together to make optima performance to improve the supply chain competiveness. The individual enterprise makes the individual profit maximum as well as the whole through the coalition. How to allocate profit rationally is determined by the contribution weight consisting of investment risks, information divulging risks, and information divulging risks.
Tanimoto has built models of the mechanism of cost allocation by the agents. The coalition and the rule of the cost allocation will be realized under the cost structure [
A multiagent system model and game theory and Nash equilibrium algorithms based on market competition have been proposed for task allocation [
The rest of the paper has been organized as follows: Section
The relationship among member enterprises in the fourth party logistics supply chain coalition is a strategic collaboration partnership and in essence a competitive relationship based on cooperation. Based on the cooperation when the upstream and downstream enterprises compete with each other for the resources (including power resources) and thus enjoy the greater profits, the characteristics of the competitiveness exist.
When the member enterprises with the same level compete with each other for the orders, the characteristics of the competitiveness also exist. The relationship among member enterprises in the fourth party logistics supply chain coalition is collaborated. The member enterprises are not allowed to manage or to be managed. The member enterprises have their own decision power. The fourth party logistics service providers make suggestions for the work and profit allocation among the member enterprises according to the overall situation, then supervise the performing of the contract, and take punishment measures for breach of contracts. So the mode of the fourth party logistics supply chain coalition is mixed with the integration and separation [
The profit allocation is the major problem in the fourth party logistics supply chain coalition. Thus, how to allocate profit allocation rationally and practically among the member enterprises is the problem discussed in the paper.
The allocation of profits reasonably among the fourth party logistics supply chain coalition is the main objective of this paper.
The main problem of the fourth party logistics supply chain coalition game is how to allocate the total output and utility reasonably. Thus, all the individuals can get the profit belonging to them.
Given the finite set
Shapley Value is the classical method in the profit allocation and reflects the importance of the individuals among the fourth party logistics supply chain coalition enterprises according to the ratio of the value-added profit allocation. Shapley Value can be explained as the average marginal contribution in which each individual would make it to the grand coalition if it were to form an individual a time. Mathematically, Shapley Value is expressed as
Shapley Value profit allocation method assumes the contribution among the enterprises in the alliance, not considering the risk factors, and so forth, in the allocation. Now the research about the improved Shapley Value based on the individual difference has been developed. Considering the investment risks, information divulging risks, and failure risks, the different contribution among the coalition enterprises is different. So, we have been revising Shapley Value method [
The individual profit allocated by Shapley Value among the fourth party logistics supply chain coalition cannot be allocated according to the actual contribution and risks factors. So, we adjust the Shapley Value to make it apply to the actual situation and applications.
Before we assume the contribution (including the risks) among the fourth party logistics supply chain coalition enterprises we should assume
Here, we make the hierarchical structure model of the fourth party logistics supply chain coalition including object layer, rule layer, and schemes layer as shown in Figure
The hierarchical structure model.
We build the judgment matrix as shown in Table
Judgement matrix.
The fourth party logistics supply chain coalition enterprises |
|
|
|
|
---|---|---|---|---|
|
1 | 7 | 3 | 5 |
|
1/7 | 1 | 1/6 | 1/2 |
|
1/3 | 6 | 1 | 4 |
|
1/5 | 2 | 1/4 | 1 |
According to the judgment matrix, we calculate the weight of the fourth logistics supply chain coalition enterprises by the square root method.
We first calculate the product of each row elements of the judgment matrix named
Because we cannot assure the complete consistency of the judgment matrix when the elements are compared with each other, we need to verify the complete consistency. Calculate
Now we have the fourth party logistics supply chain coalition which has two suppliers and two manufacturers named
Data of the operation cost and profit of individual enterprises independent operation are shown as follows. (The test data is from a company.)
There are four enterprises in the fourth party logistics supply chain coalition. We calculate the cost and profit after the coalition. We get cost savings of coalition using (
Weight of coalition.
The fourth party logistics supply chain coalition enterprises | Weight |
---|---|
|
0.56 |
|
0.057 |
|
0.29 |
|
0.097 |
We use vector (enterprises, profit, cost, and contribution to coalition) to show the instance.
The data can be expressed by vector (enterprises, profit, cost, and contribution to coalition).
The data is shown as follows: ( ( ( ( ( ( ( ( ( (
We calculate the weight using (
The profit allocated to each individual in the fourth party logistics supply chain coalition that can be calculated using the Shapley Value Equation (
The profit allocated to each individual in the coalition can be calculated using Distribution according to Contribution and is shown as follows:
In conclusion, we can see that individual C gets the maximum profit according to Shapley Value while individual A gets the maximum profit according to Distribution according to Contribution and adjusts the two individuals AC which get the maximum profits and adjust the individuals BD reasonably in the same way. The value should be adjusted in accordance with the needs of the coalition in order to make the coalition stronger and better. We should combine the two methods named the improved weighted Shapley Value model for the practical use.
First of all, we introduce the fourth party logistics and the fourth party logistics supply chain coalition. How to make profit allocation practically and reasonably among the coalition is still a question for further study. We can also call this problem the fourth party logistics supply chain coalition game.
Besides, we introduce the classical method, Shapley Value. We consider the investment risks, information divulging risks and failure risks besides the only contribution. On the basis of the risks, we analyze the weight of the importance of individuals in the coalition by the analytic hierarchy process. To each enterprise, the weight is determined by the investment risks, information divulging risks, and failure risks. We calculate the weight of the fourth party logistics supply chain and assure the complete consistency of the judgment matrix when the elements are compared with each other.
Finally, we analyze the results using Shapley Value and the Distribution according to Contribution. We find that we should combine the two methods for the practical use. The value should be adjusted in accordance with the needs of the coalition in order to make the coalition stronger and better.
We also need further improvement of the two combined methods named the improved weighted Shaplye Value model. We also need further study of how much profit to adjust which is allocated by Shapley Value and contribution weight (including the risks) based on the actual situation.
The author declares that there is no conflict of interests regarding the publication of this paper.
This work is sponsored in part by a grant from the National Science Foundation (NSF) (project Grant no. 61202363).