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- W4253563157 abstract "To simulate a queueing process, it is necessary to define the probability laws governing the arrivals of elements and the departures of elements, as well as the number of service stations. The probability distributions are used to calculate the theoretical mean values of the arrival rate. For “departure rates” or inverse service times, it is assumed that they are identical for all stations (and also that the same probability distribution applies to stations). In addition, using a computer requires the use of discrete values for time, not continuous values. For time management, two attitudes are possible: varying the time with regular steps and examining the events that may occur between two consecutive instants; and basing the time on the next event and therefore proceeding in stages based on the events. This chapter uses the second method for the simulation of an M/M/1 queue and the first method for managing an M/M/S queue." @default.
- W4253563157 created "2022-05-12" @default.
- W4253563157 date "2019-10-11" @default.
- W4253563157 modified "2023-10-12" @default.
- W4253563157 title "Simulation of a Queueing Process" @default.
- W4253563157 doi "https://doi.org/10.1002/9781119670827.ch11" @default.
- W4253563157 hasPublicationYear "2019" @default.
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