摘要
本文通过选取具有风险抵抗能力的弹性供应商,解决因供应商稳定性低致使供应链风险的问题。首先,使用最佳-最差方法建立考虑风险因素初步选择供应商的模型。在此基础上,应用模糊多标准决策法建立多目标模型,解决考虑弹性标准的供应商动态选择问题。最后,运用改进狼群算法衡量利润和环境危害之间最佳的订单分配策略。以新能源汽车制造企业供应商选择及订单分配为例进行验证。结果表明,改进后的狼群算法与原始算法相比寻优精度更高、收敛速度更快,具有更好的综合性能。
The problem of supply chain risk due to low supplier stability is addressed by selecting resilient suppliers with risk resistance.First,the best-worst method(BWM)is used to establish a supplier selection model considering risk factors to initially select suppliers.On top of this,a multiobjective mathematical model is established to deal with the dynamic supplier selection problem by applying the fuzzy multi-criteria decision method(FMDM).Finally,the optimal order allocation strategy is traded off between benefits and environmental hazards through the improved wolf pack algorithm.An example of supplier selection and order allocation in a new energy vehicle manufacturing company is used for verification.The results show that the improved wolf pack algorithm has better overall performance with high accuracy in finding the optimum and fast convergence compared with the original algorithm.
作者
梁迪
李依明
刘璇
薛健
LIANG Di;LI Yi-ming;LIU Xuan;XUE Jian(School of Mechanical Engineering,Shenyang University,Shenyang 110044,China)
出处
《模糊系统与数学》
北大核心
2023年第4期112-125,共14页
Fuzzy Systems and Mathematics
基金
国家留学基金资助项目(留金项75号)
关键词
弹性
供应商选择
动态订单分配
改进模糊多准则决策法
改进狼群算法
Resilience
Supplier Selection
Dynamic Order Allocation
Improved Fuzzy Multi-criteria Decision Method
Improved Wolf Pack Algorithm
