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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.
Coleman, a married taxpayer, is going to establish a manufacturing business. He anticipates that the business will be profitable immediately due to a patent he holds. He predicts t
Why might managers favour this ABC system instead of the older system that allocated all MOH costs on the basis of direct? labour?
underlying assumptions of breakeven analysis and the limitations of this.
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Significance points of Variance The following significant points must be kept in mind: Controllability: Controllability should also influence the decision whether t
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