信息工程与人工智能学院知识库

全球疫情爆发后各国管控政策的实施导致物流服务发生中断，依靠物流业运作的产品供应链也遭到中断风险，因此研究物流服务供应商服务能力突变情况下的物流服务供应链协作策略以保障整条链的正常运作非常必要。随着经济全球化的发展，作为载体的物流业也向着网络化发展，且现有技术也足以支撑从网络视角对物流服务供应链进行研究。

基于此，本文对服务能力突变下物流服务供应链网络协作进行研究，包括物流服务供应链网络构建和服务能力突变下物流服务供应链网络协作的研究。首先分析物流服务供应链网络的一般结构，并建立成本最小和客户满意度最大的双目标优化模型来构建物流服务供应链网络，然后对服务能力突变情况下的物流服务供应链网络协作进行演化博弈和系统动力学分析。本文主要研究成果如下：

（1）构建了成本最小和客户满意度最大的物流服务供应链网络双目标优化模型，采用遗传算法求解后得到构建的物流服务供应链网络。可查文献大多从网络视角对物流服务供应链的网络属性及脆弱性等进行分析，本文给出物流服务供应链网络一般结构，并采用降低成本和提升客户满意度的双目标优化模型构建物流服务供应链网络。在模型求解过程中采用ε-约束法将客户满意度目标函数转化为约束条件，保障在一定程度达到客户满意度的基础上，实现成本最小化目标。最后采用实数编码的遗传算法对模型进行求解，得到构建的物流服务供应链网络，并用可视化方法绘制物流服务供应链网络图。

（2）构建了服务能力突变下物流服务供应链网络内的集成商协作策略演化博弈模型，并用系统动力学进行仿真分析。从宏观角度将物流服务供应链中的集成商抽象为服务能力不足和服务能力冗余的两个群体，研究其中一个物流服务供应商服务能力发生突变，并在集成商非完全理性假设下，构建集成商协作策略演化博弈模型，之后运用系统动力学方法进行仿真，分析各协作策略的演化过程、演化结果及影响其策略变化的因素。研究发现两个集成商群体在一次性协作和联盟协作两种策略之间的最优协作策略是双方均选择联盟协作模式，此外还发现增加激励金或超额收益可以缩短企业间的博弈周期。

This paper studies the logistics service supply chain network cooperation under sudden change of service capability, including the construction of logistics service supply chain network and the research of logistics service supply chain network cooperation after sudden change of service capability. Firstly, the general structure of logistics service supply chain network is analyzed, and a two-objective optimization model with minimum cost and maximum customer satisfaction is established to construct the logistics service supply chain network. Then, the evolutionary game and system dynamics analysis of logistics service supply chain network cooperation under sudden change of service capability are carried out. The main research results in this paper are as follows:

(1) A dual-objective optimization model of logistics service supply chain network with minimum cost and maximum customer satisfaction is constructed. The logistics service supply chain network is obtained after solving the model with genetic algorithm. Most available literatures analyze the network attribute and vulnerability of logistics service supply chain from the network perspective. This article gives the general structure of the logistics service supply chain network, and uses a dual-objective optimization model to reduce costs and improve customer satisfaction to construct logistics services supply chain network. In the process of model solving, the ε-constraint method is used to transform the objective function of customer satisfaction into constraints, so as to achieve the goal of cost minimization on the basis of achieving customer satisfaction to a certain extent. Finally, the real-coded genetic algorithm is used to solve the model, and the constructed logistics service supply chain network is obtained, and the visualization method is used to draw the logistics service supply chain network diagram.

(2) The evolutionary game model of cooperation strategy of integrators in logistics service supply chain network under sudden change of service capability is constructed and simulated by system dynamics.From a macro perspective, the integrators in the logistics service supply chain are abstracted into two groups with insufficient service capabilities and redundant service capabilities. If the service capability of a logistics service provider changes suddenly, an evolutionary game model of cooperation strategy of integrators is established under the assumption of incomplete rationality of integrators. Then, system dynamics method is used to simulate and analyze the evolution process, results and factors affecting the change of each cooperation strategy. It is found that the optimal cooperation strategy of two integrator groups between the two strategies of one-time collaboration and alliance collaboration is that both parties choose alliance cooperation mode, and it is also found that increasing incentives or excess returns can shorten the game cycle between companies.