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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.
M/s ABC's present credit terms are 1/10 net 30 that they are planning to change to 2/10 net 30. The current average collection period is 20 days and the variable cost to sales rat
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School problem is asking to calculate the work in progress inventory for the beginning of a month without providing previous month data.
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