信用期不确定供应链的多目标运作鲁棒模型

Multi-objective Robust Operation Model for a Supply Chain with Credit Period Uncertainty

考虑商业信用对供应链的产品流与资金流的影响,采用区间不确定性描述信用期的波动,利用鲁棒线性规划方法,建立了由一个制造商和一个供应商构成的多产品、多阶段供应链在信用期不确定条件下的多目标鲁棒运作模型.设计了一个数值算例对模型进行验证,得到了信用期不确定供应链在最坏条件下的最优鲁棒运作策略.结果表明,将鲁棒性运用于供应链的协调运作及供应链成员的目标利润最大的目标中去,能够大大减少信用期的不确定性对目标值的影响.

The effect of trade credit on supply chain product and cash flow was determined, with variations in the credit period described by using an interval uncertainty method.A multi-objective robust operation model was established using a robust linear programming approach in an uncertain credit period for a multi-product and multi-period supply chain involving one producer and one supplier.A numerical example was used to verify the proposed model,and the optimum robust operating strategy was determined for worst case supply chain conditions during an uncertain credit period.When robust measures were adopted in the objectives of supply chain coordination and profit was maximized for all participants,the effect of credit period uncertainty on objective values decreased significantly.