模糊环境下可控提前期供应链库存优化的Stackelberg模型研究

Research on Stackelberg Model of Supply Chain Inventory Optimization with Controllable Lead Time and Fuzzy Circumstances

为了有效地缩短提前期与降低库存成本,研究了模糊环境下可控提前期的供应链库存优化问题。利用三角形模糊数描述需求的不确定性,建立了一类模糊需求条件下可控提前期供应链库存优化的Stackelberg模型。利用三角形模糊数描述成本系数的不确定性,建立了模糊成本系数条件下可控提前期供应链库存优化的Stackelberg模型,并提出利用均值面积度量法来解模糊化。通过数值分析来验证两类模型的优化效果。

To shorten lead time and reduce inventory cost, the supply chain inventory optimization problems with controllable lead time and fuzzy circumstances are studied. By using triangular fuzzy number to describe the uncertainty of demand, a kind of supply chain inventory optimization model with controllable lead time and fuzzy demand under Staekelberg theory is proposed. By using triangular fuzzy number to describe the uncertainty of inventory cost parameter, a kind of supply chain inventory optimization model with controllable lead time and fuzzy cost parameter under Staekelberg theory is also proposed. And the mean area measure method is used to solve the fuzzy problems. At last the optimization effect of these two models is manifested by numerical test.