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In particular, it reveals that the intuitive result of arranging servers in decreasing order of service speed (i.e., arrange faster servers at downstream stations) is not always optimal for minimizing the mean queue length or mean waiting time.
Therefore, the market may be characterized by firms offering different combinations of money price and mean waiting time.
The expressions of performance metrics including mean system delay of SU and mean waiting time of PU are also described.
As the service integrity relates to the delay of data transmission, mean system delay and mean waiting time are also in our considerations.
The aim of the model is to find optimal levels for the decision variables such as service capacity, mean waiting time, money price, expected output rate, and waiting room size (or accumulated orders with a given probability).
Note that if the maximum mean waiting time accepted by individuals is equal or inferior to the mean service time of the firm (1/μ), the firm will have no demand and, hence, a loss equal to the capacity cost.
In [8], the authors examined the performance in terms of the dropping probability and mean waiting time of packets in the queue of the BS by using an M/GI/1/N queuing model.
As the user flow lowers in the queue 2 also decreases its mean waiting time.
The overall rank between the regions with the maximum and the minimum mean waiting time is reduced from 8.1 months under the FIFO discipline to 4.9 with the prioritization system.
Mean waiting time of females are 27% more than for males, while the waiting time of 90% of female pedestrians are 44% more than the corresponding number for males.
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Comparison of the mean waiting times before and after the implantation of periodic monitoring showed that this procedure reduced the mean waiting time by 55.7%.
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