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不确定交货下的装备维修器材供应链协调对策
引用本文:林翔,瞿勇.不确定交货下的装备维修器材供应链协调对策[J].兵工自动化,2017,36(8).
作者姓名:林翔  瞿勇
作者单位:海军装备研究院综合论证研究所体系室,北京,100161;海军工程大学理学院,武汉,430033
摘    要:为协调不确定交货条件下装备维修器材供应链各成员的利益关系,运用Stackelberg主从博弈理论进行对策研究.以维修单位作为主方,提出最佳订货量和单位缺货惩罚成本策略,从方即供应商以额外供应能力作为响应;以维修单位预期成本最小化为目标建立优化模型,结合约束条件构建带有惩罚因子的特殊适应度函数;利用粒子群优化算法进行仿真计算.仿真结果表明:Stackelberg主从博弈可以有效协调装备维修器材供应链,保证供应链及各成员的利益.

关 键 词:装备维修器材  Stackelberg主从博弈  供应链  粒子群优化算法
收稿时间:2017/4/12 0:00:00
修稿时间:2017/5/11 0:00:00

Supply Chain Coordination of Equipment Maintenance Material with Uncertain Delivery Capacity
Lin Xiang,Qu Yong.Supply Chain Coordination of Equipment Maintenance Material with Uncertain Delivery Capacity[J].Ordnance Industry Automation,2017,36(8).
Authors:Lin Xiang  Qu Yong
Abstract:Based on Stackelberg game theory, a countermeasures study was presented to coordinate the interests of the supply chain members of equipment maintenance material under the condition of uncertain delivery capacity, in which the maintenance unit was the leader giving the optimal order quantity and the per unit penalty cost in short supply, and the supplier was the follower responding with the best additional supply capacity. Constructed the optimization model to minimize the expected cost of the maintenance unit, and the special fitness function with a penalty factor based on constraint conditions was established. Used the particle swarm optimization algorithm (PSO) to carry out simulation and calculation. The results show that the Stackelberg game can effectively coordinate the supply chain of equipment maintenance material, and to ensure the interests of the supply chain and its members.
Keywords:equipment maintenance material  Stackelberg game  supply chain  particle swarm optimization algorithm
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