Q: An extremely important concept in queueing models is the difference between rates
An extremely important concept in queueing models is the difference between rates and times. If represents a rate (customers per hour, say), then argue why 1/ is a time and vice versa.
See AnswerQ: The Decision Sciences Department is trying to determine whether to rent a
The Decision Sciences Department is trying to determine whether to rent a slow or a fast copier. The department believes that an employee’s time is worth $15 per hour. The slow copier rents for $4 per...
See AnswerQ: The MM1 Template.xlsx file is now set up so that
The MM1 Template.xlsx file is now set up so that you can enter any integer in cell E11 and the corresponding probability of that many in the system appears in cell F11. Change this setup so that colum...
See AnswerQ: The MM1 Template.xlsx file is now set up so that
The MM1 Template.xlsx file is now set up so that when you enter any time value in cell H11, the formula in cell I11 gives the probability that the wait in queue will be greater than this amount of tim...
See AnswerQ: For a telephone survey, a marketing research group needs to contact
For a telephone survey, a marketing research group needs to contact at least 600 wives, 480 husbands, 400 single adult males, and 440 single adult females. It costs $3 to make a daytime call and (beca...
See AnswerQ: Expand the MM1 Template.xlsx file so that the steady-
Expand the MM1 Template.xlsx file so that the steady-state probability distribution of the number in the system is shown in tabular form and graphically. That is, enter values 0, 1, and so on (up to s...
See AnswerQ: For an M/M/1 queueing system, L =
For an M/M/1 queueing system, L = /(µ - ). Suppose that l and µ are both doubled. How does L change? How does W change? How does WQ change? How does LQ change?
See AnswerQ: Suppose that you observe a sequence of interarrival times, such as
Suppose that you observe a sequence of interarrival times, such as 1.2, 3.7, 4.2, 0.5, 8.2, 3.1, 1.7, 4.2, 0.7, 0.3, and 2.0. For example, 4.2 is the time between the arrivals of customers 2 and 3. If...
See AnswerQ: In the M/M/s model, where µ is
In the M/M/s model, where µ is the service rate per server, explain why , µ is not the appropriate condition for steady state, but , sµ is.
See AnswerQ: Expand the MMs Template.xlsm file so that the steady state
Expand the MMs Template.xlsm file so that the steady state probability distribution of the number in the system is shown in tabular form and graphically. That is, enter values 0, 1, and so on (up to s...
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