The more complicated bilevel quantity discounts coordination model was desighed under fuzzy random enviroment.
建立了更为复杂的模糊随机环境下两层规划数量折扣协调策略模型。
Through numerical analysis, the conclusion is drawn that the non-linear quantity discount policy can achieve channel coordination in a supply chain.
通过数学分析，得出了非线性价格折扣政策可以实现供应链的渠道协调的结论。
The relationship among the optimal quantity, the optimal buy-back price and the risk coefficient was given when the channel coordination was realized under different risk preference.
得出不同风险偏好下，实现供应链协调时的最优定购量、最优回购价格与风险系数的关系。
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