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Research on Multi-time Period Production Plan of Supply Chain under Demands Uncertainty

机译:需求不确定性供应链多时期生产计划的研究

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Considering capacity constraints of manufacturer, a problem of multi-time period production planning of supply chain under customers' demands uncertainty was studied in this paper. According to characteristics of the problem, an optimal stochastic chance constraint programming model with objective of minimum costs was presented, and a real number matrix encoding and stochastic sampling constraints verifying based PSO algorithm was proposed. A numeric example is performed, and the results illustrate the feasibility and the effectiveness of proposed model and algorithm.
机译:考虑到制造商的能力限制,本文研究了客户需求不确定性下供应链的多时期生产规划问题。根据问题的特征,提出了一种具有最小成本的最佳随机偶然的机会约束规划模型,并且提出了基于PSO算法验证的PSO算法的实数矩阵编码和随机采样约束。执行数字示例,结果说明了所提出的模型和算法的可行性和有效性。

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