UROP Proceedings 2022-23

School of Engineering Department of Industrial Engineering and Decision Analytics 149 Department of Industrial Engineering and Decision Analytics The Design of Queues in Series via Robust Queueing Supervisor: YOU, Wei / IEDA Student: LAM, Sze Yin Cecilia / DA Course: UROP1100, Fall In designing manufacturing and service systems, an important issue is determining the optimal order for placing stations in tandem (series). However, if the service and arrival distributions do not follow a Poisson process, it is difficult to perform exact analysis as closed-form formula are not available. Therefore, researchers have developed various approximation methods to derive heuristic principles for designing such queuing systems. One approach is the Robust Queuing Network Analyzer (RQNA) for open queuing networks (OQN), which approximates the mean steady-state performance at each queue based on the index of dispersion for counts (IDC) of the total arrival flow and the service specifications at each queue. This paper will verify heuristic design principles through RQNA approximations and simulations, and discuss the accuracy and statistical significance of the results.