Multi-objective optimization of multi-echelon supply chain networks with uncertain product demands and prices
Multi-objective optimization of multi-echelon supply chain networks with uncertain product demands and prices
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DOI：
10.1016/j.compchemeng.2003.09.014
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发表时间：
2004-06
期刊：
影响因子：
--
通讯作者：
Cheng-Liang Chen;Wen-Cheng Lee
中科院分区：
文献类型：
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作者：
Cheng-Liang Chen;Wen-Cheng Lee
针对具有不确定市场需求和产品价格的多级供应链网络，提出了一种多产品、多阶段、多周期的调度模型。将不确定的市场需求建模为若干个概率已知的离散场景，并用模糊集描述买卖双方对产品价格的不相容偏好。供应链调度模型被构建为一个混合整数非线性规划问题，以满足多个冲突目标，如公平的利润分配、安全的库存水平、最大客户服务水平以及对不确定产品需求的稳健性，其中同时考虑了买卖双方对产品价格的折衷偏好水平。将稳健性措施作为目标的一部分，可以显著降低目标值对产品需求不确定性的可变性。提出了一种两阶段模糊决策方法，并通过算例验证了该方法在不确定的多层供应链网络中的有效性。
A multi-product, multi-stage, and multi-period scheduling model is proposed in this paper to deal with multiple incommensurable goals for a multi-echelon supply chain network with uncertain market demands and product prices. The uncertain market demands are modeled as a number of discrete scenarios with known probabilities, and the fuzzy sets are used for describing the sellers’ and buyers’ incompatible preference on product prices. The supply chain scheduling model is constructed as a mixed-integer nonlinear programming problem to satisfy several conflict objectives, such as fair profit distribution among all participants, safe inventory levels, maximum customer service levels, and robustness of decision to uncertain product demands, therein the compromised preference levels on product prices from the sellers and buyers point of view are simultaneously taken into account. The inclusion of robustness measures as part of objectives can significantly reduce the variability of objective values to product demand uncertainties. For purpose that a compensatory solution among all participants of the supply chain can be achieved, a two-phase fuzzy decision-making method is presented and, by means of application of it to a numerical example, proved effective in providing a compromised solution in an uncertain multi-echelon supply chain network.