Abstract
Inspired by flexible manufacturing systems with setups, in this study, we investigate the steady-state behavior of flow line models with deterministic service durations. In such systems, different types of products with different batch sizes are produced in a single production line, and a setup is required when switching from one type of product to another. In this study, we aim at analyzing the effect of different setups on a system’s performance metrics, i.e., the maximum production rate and delay distribution of a product experienced inside the system. The maximum production rate of a deterministic flow line is the reciprocal of its bottleneck process time; however, the different setups existing in a system complicate the analysis. Furthermore, setups are necessary in flexible manufacturing systems. The systems that are the subject of our model are steel pipe manufacturing process and semiconductor wafer fabrications. Additionally, we obtain and analyze a two-dimensional, discrete-time, time-homogeneous Markov chain model to derive the system’s performance measures.
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