Throughput in manufacturing or in queuing problems is calculated through the following formula: Throughput time (Tt) = Work in process (WiP) X Cycle time (Ct)
*where WiP represents work in process or persons in a queue
* and Ct represents the time it takes for a product to go through the manufacturing processes or for a person to join and leave a queue after being served.
e.g. If it takes 2 minutes to get served coffee in a restaurant and there are 10 people in the queue
Tt = WiP x Ct : 10 x 2 = 20min
The throughput time tells that it will take the last man 20minutes to get served from the moment he joins the queue.
What determines the theoretical throughput of a bus
Throughput in Oil & gas industry
In asymmetrical communication, downstream throughput is higher than upstream throughput.
Full duplex has the highest throughput concering communication.
The throughput of a gigabit network connection can vary somewhat based on things such as the speed of the CPU, however, the average throughput is around 300Mb/s. The symbol for giga is G.
The disadvantages of throughput accounting is that it is very costly. The system might require the retraining of the staff which is a costly exercise.
a static ip does not have any effect on throughput it simply mean your ip address will not change
No, maximising throughput does not necessarily mean maximising turnaround time. Throughput is a measure of how many operations can be performed in a period of time. Turnaround is a measure of how long it takes to perform an operation. If you optimize latency and/or overhead, you can increase throughput and decrease turnaround time. On the other hand, if you create parallel processing, you can increase throughput without decreasing turnaround.
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The disadvantages of throughput accounting is that it is very costly. The system might require the retraining of the staff which is a costly exercise.
Response time and throughput in a system are inversely related. As response time decreases, throughput typically increases, and vice versa. This means that as the system processes tasks more quickly (lower response time), it can handle more tasks in a given time period (higher throughput).