提出了一个由供应商、配送中心和零售商组成的两级供应链集成优化问题。供应商产品价格、风险等级、供应能力和零售商需求考虑为不确定性的风险因素。应用可信性理论,建立了基于风险偏好的两级供应链集成优化模型。使用可能性隶属函数将模糊机会约束转化为清晰的等价类对模型进行求解。最后,通过数值算例分析了决策者的风险偏好变化对目标值的影响。
This work proposes the integrated optimization problem of two-echelon supply chain consisting of suppliers,distribution centers and retailers.The suppliers' product price,risk rating and supply capacity and retailers' demand are considered as uncertain risk factors.Applying credibility theory,the integrated optimization model of two-echelon supply chain is developed based on risk preference.Possibility member function is used to convert the fuzzy chance-constrained into crisp equivalents to solve the model.Finally,a computational experiment is used to analyze the impact of the varieties of decision-makers' risk preference on objective value.