Operations Management Study Set 5

Statistics

Quiz 18 :

Management of Waiting Lines

Quiz 18 :

Management of Waiting Lines

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A multiple-channel system assumes that each server will have its own waiting line, and line changing is not permitted.
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False

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The cost of customer waiting is easy to estimate, the number waiting multiplied by the wait cost per minute.
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False

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The queuing models discussed in the text apply only to steady-state conditions. Steady state exists only when customers arrive at a steady rate; that is, without any variability.
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A system has one service facility that can service 10 customers per hour. The customers arrive at a variable rate, which averages six per hour. Since there is excess capacity, no waiting lines will form.
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The goal of queuing analysis is to balance the cost of providing a level of service capacity with the possible loss of business due to customers leaving the line or refusing to wait.
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According to Little's law, the number of people in line depends on the time of day that they arrive.
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To reduce the average number waiting in line, it is important to increase utilization.
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An approach to reducing the variability in processing times might include greater standardization.
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For a system that has a low utilization ratio, decreasing service capacity slightly will have only negligible effect on customer waiting time.
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The most commonly used queuing models assume that the arrival rate can be described by a Poisson distribution.
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In a theme park like Disney world, reservation systems are a win-lose situation since only those holding reservations are satisfied.
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In an infinite-source model, the average number being served is equal to the ratio of the arrival rate to the service rate.
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In an infinite-source model, the system utilization is the ratio of the arrival rate to the service capacity.
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All infinite-source queuing models require the system utilization to be less than 1.0.
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A single-server, variable-service-time system is known as an M/D/1 system.
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A dental office with two professionals (one dentist, one hygienist)who work together as a team would be an example of a multiple-channel system.
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The goal of waiting-line management is to eliminate customer waiting lines.
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In an infinite-source model, the average time in line is equal to the average number in line divided by the arrival rate.
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Waiting lines occur even in underloaded systems because of variability in service rates and/or arrival rates.
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The point that minimizes total queuing system costs is that point where waiting costs and capacity costs are equal.
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