Performance evaluation is critical for the design, planning and optimization in manufacturing systems. Accurate estimates of throughput rates and cycle time are particularly important for enterprises that providing customized products. A manufacturing system is an integrated system that couples material processing and material handling interdependently. There are a few studies on the performance modeling of such integrated systems, but most of them assume infinite queues. An intelligent manufacturing unit with an industrial robot for material handling is considered and modeled as an open queueing network with finite buffers, general service times, and arbitrary job routing. To deal with the dual-resource constraints (DRC) of material processing and material handling, a performance evaluation method is proposed to calculate the system throughput, WIP and cycle time. The accuracy and effectiveness of the proposed method are demonstrated by comparing the results with simulations from numerical experiments. Numerous facility design and sensitivity analyses are performed to provide valuable insights about system design, analysis, and resource planning.

性能评估对于制造系统的设计，计划和优化至关重要。对于提供定制产品的企业而言，准确估计吞吐速率和周期时间尤为重要。制造系统是将材料处理和材料处理相互依赖地耦合在一起的集成系统。关于这种集成系统的性能建模的研究很少，但是大多数研究都假设队列是无限的。考虑了具有工业机器人用于物料搬运的智能制造单元，并将其建模为具有有限缓冲区，一般服务时间和任意作业路线的开放式排队网络。为了应对物料加工和物料搬运的双重资源约束（DRC），提出了一种性能评估方法来计算系统吞吐量，在制品和循环时间。通过将结果与数值实验的仿真结果进行比较，证明了该方法的准确性和有效性。执行了许多设施设计和敏感性分析，以提供有关系统设计，分析和资源计划的宝贵见解。