Abstract
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.
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