Abstract
Port, carriers and many other departments are involved in the whole water transportation service system, and these departments tend to have conflicts of interest in the process of service, which results in a difficult coordination phenomenon. We propose an integrated contract that combines the revenue sharing and service cost allocation to coordinate the port service chain. We explore the effects of the contract decision variables in the different scenarios. The results show that two sharing factors exist “blind zone,” but the improved contract reveals that revenue sharing and cost allocation contract combining with the fixed payment mechanism can be more effective to coordinate the port service chain.
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Acknowledgements
This work was supported by the Natural Science Foundation of China (71774019, 71803197, 71402038) and the Ministry of Education Humanities and Social Sciences Foundation(18YJC630094).
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Appendix
Appendix
1.1 A: Proof proposition 1
Proof
We can calculate the first derivative of p1, p2, s1, s2 and s3 in Eqs. (A1–A5), and let it be equal to zero; then, we get the optimal value of w and s3:
Firstly, we use the formula (A1) and formula (A2) to calculate the second derivative of p1, p2, which forms Hessian matrix:
The first-order leading principal minor is \( \Delta_{1} = - 2 < 0 \); the second-order leading principal minor \( \Delta_{2} = 4(1 - \rho^{2} ) \), because of \( 0 < \rho < 1 \) ,so \( \Delta_{2} > 0 \). The total profit of the port under centralized decision (\( \pi^{\text{CC}} \)) is strict concave function of \( p_{1} \) and \( p_{2} \), respectively.
Then, we use the formula (A3), (A4) and (A5) to calculate the second derivative of \( s_{1} \), \( s_{2} \) and \( s_{3} \), which forms Hessian matrix:
The first-order leading principal minor is \( \Delta_{1} = - m < 0 \); the second-order leading principal minor is \( \Delta_{2} = m^{2} > 0 \); the third-order leading principal minor is \( \Delta_{3} = - m^{2} n < 0 \). So, the total profit of the port under centralized decision (\( \pi^{\text{CC}} \)) is strict concave function of \( s_{1} \), \( s_{2} \) and \( s_{3} \), respectively.
Combining the formula (A6) and formula (A7):
The first-order leading principal minor is \( \Delta_{1} = - 2 < 0 \); the second-order leading principal minor is \( \Delta_{2} = 4(1 + \rho )(1 - \rho ) \), because \( 0 < \rho < 1 \), \( \Delta_{2} > 0 \); the third-order leading principal minor is \( \Delta_{3} = 2 - 4\beta \rho + 2\beta^{2} - 4m(1 - \rho^{2} ) \); the positive and negative of \( \Delta_{3} \) are not sure. So, the total profit of the port under centralized decision (\( \pi^{\text{CC}} \)) may not be the strict concave function of \( p_{1} \), \( p_{2} \), \( s_{1} \), \( s_{2} \) and \( s_{3} \).□
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Liu, F., Wang, J., Liu, J. et al. Coordination of port service chain with an integrated contract. Soft Comput 24, 6245–6258 (2020). https://doi.org/10.1007/s00500-019-03839-1
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DOI: https://doi.org/10.1007/s00500-019-03839-1