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Service time-probability distribution curve
A common example is that service times follow an exponential probability distribution i.e. y=e-x
Service channels - these refer to the number of service points and queues; If there is only one queue, but several service counters, the customer at the head of the queue will move to the first free counter when it becomes available. Where this system operates, there is a basic multiple channel or multi-channel system.
If there are several services counter each with its own queue, there is a more complex multiple channel or multichannel system.
Traffic intensity- this is the ratio of the average arrival rate to the average service rate. Unless a service rate is faster than the rate of new customers arriving in the queue the queue gets longer. An important assumption in queuing theory is that the traffic intensity must be less than one.
A bill is explained as an unconditional order in writing, addressed through one person to the other, signed through the person providing it, requiring the person to whom it is addr
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What is a pro forma financial statement and how does it relate to the master budget?
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