The optimization of production cost has always been a key issue in manufacturing systems; for the single product type manufacturing systems, lots of research studies have proved the validity of the hedging point control policy in production cost control. However, due to the complexity of the multiple machines and multiple product types manufacturing systems with uncertain fault, it is difficult to achieve a good control effect only by using the hedging point control policy. To optimize the total production cost under constantly changing demands, an integrated control policy that combines the prioritized hedging point (PHP) control policy with the production capacity planning during production is proposed, and the decision variables are obtained by a particle swarm optimization (PSO) algorithm. The simulation experiments show the effectiveness of the proposed integrated control policy in production cost control for the multiple machines and multiple product types manufacturing system.

中文翻译：

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不确定故障的多机器，多产品类型制造系统生产过程的集成控制策略

生产成本的优化一直是制造系统中的关键问题。对于单一产品类型的制造系统，大量研究证明了对冲点控制策略在生产成本控制中的有效性。然而，由于具有不确定故障的多台机器和多种产品类型的制造系统的复杂性，仅通过使用对冲点控制策略就难以获得良好的控制效果。为了在不断变化的需求下优化总生产成本，提出了一种将优先对冲点（PHP）控制策略与生产过程中的产能计划相结合的集成控制策略，并通过粒子群优化（PSO）获得决策变量。算法。