关键词:

“两业融合”, 利益分配, 差异贡献度, 觅食动力学, 改进细菌觅食优化算法

Abstract:

In the “Port before Factory” mode, the port provides high-quality value-added services for steel mill production operations, forming a “chain” and “chain” alliance with the port service supply chain and the steel mill production supply chain. In addition, a fair and reasonable benefit distribution plan is a key factor affecting the stability and performance of the alliance. Therefore, in order to promote the effective operation of the “Port before Factory” supply chain alliance, this paper, taking into account the characteristics of the “chain” and “chain” alliances, considering the factors of service contribution and service duration, and aiming at maximizing the overall benefit of the alliance, constructs a benefit distribution model. However, because the model is non-linear, non-differentiable, and requires high accuracy of the results, a bacterial foraging optimization algorithm with a wide search range and a large evolutionary space is selected to solve the problem. The new algorithm combining foraging dynamics and the foraging optimization algorithm designed in this paper overcomes the defect of the poor stability caused by the uncertain flip direction of a single foraging optimization algorithm, which improves the accuracy and stability of the algorithm. The simulation verification using Python shows that the result of benefit distribution conforms to the principles of the overall rationality and individual rationality in the cooperative game theory, which proves that the benefit distribution model is fair and effective, and provides scientific basis and theoretical methods for the “integration of advanced manufacturing and modern service industries.”

Key words:

“the integration of advanced manufacturing and modern service industries”；profit distribution；contribution difference；foraging dynamics, improved bacterial foraging optimization algorithm（IBFOA）