Ch. 18 Ops

Ch. 18 Ops

Chapter 18

Capacity planning decisions deal implicitly with decisions on the cost of making consumers wait and the extent to which these costs can be borne.
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1. A system is said to be in a transient state when the values of its governing parameters in this state are expected to change uncontrollably with time.
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2. For a system to reach steady state the arrival rate must always be greater than the service rate, i.e., the traffic intensity r must always be greater than unity.
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3. Analytical queuing models are classified mainly on the basis of the calling population characteristics and the queue discipline.
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4. A queue is said to be finite if there is an upper limit on the number of consumers who are allowed to be in it. Consumers who come after the queue is full, either balk or are refused entrance.
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5. Reducing the variability in either service time or arrival time can reduce most of the waiting involved for the consumers.
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6. Pooling of services is an approach toward achieving economies of scale in services through better utilization of services.
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7. In analytical terms, the modern self-serve supermarket would best be approximated by the M/M/C model, where C is the number of servers.
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8. The main advantage of analytical models is that they can be used almost anywhere regardless of the underlying assumptions. They still provide good results.
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9. Planning for service capacity involves prediction of consumer waiting associated with different levels of capacity.
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10. A Poisson process describing the distribution of departures from a busy server with an average rate of 15 per hour is equivalent to the negative exponential...