中文摘要：如何在生產網絡中靈活有效地共享資源以帶來更大的經濟效益已成為重要的研究課題，本文研究了考慮需求滿足水平的生產網絡的產能分配。 我們將生產網絡的產能分配問題建模為一個優化模型，並應用三種啟發式優化算法（粒子群優化算法，遺傳算法以及結合粒子群和遺傳算法的混合算法）通過Matlab軟件進行求解。 此外，我們還在一系列數值實驗中進行了數據分析，在幾個測試示例上比較所提出的三種求解算法的最優解和收斂速度。我們的研究工作可以為生產網絡的產能分配提供有效的實踐指導。 Abstract：How to share resources flexibly and effectively in the production network to bring greater economic benefits has become an important research issue. This paper studies the capacity allocation of a production network under the consideration of demand satisfaction level. We formulate the capacity allocation problem of a production network as an optimization model, and apply three heuristic optimization algorithms (particle swarm optimization algorithm, genetic algorithm, and a hybrid algorithm combined by particle swarm optimization and genetic algorithm) to solve it with Matlab software. In addition, we also conduct the data analysis in a series of numerical experiments for comparing the optimal solutions and convergence speeds of the presented three solving algorithms at several test examples. Our research works could provide an effective practical guidance for capacity allocation of production networks.