False, the capacity of the resource with the setup time increases, but the bottleneck may be another process. So increasing the batch size does not necessarily increase the capacity of the process .
Batch size :
The batch size is a number of samples processed before the model is updated. The number of epochs is the number of complete passes through the training dataset. The size of a batch must be more than or equal to one and less than or equal to the number of samples in the training dataset.
Batch size on capacity of resources :
By definition, no setup time is required between operation batches. In this analysis, assume that the operation batch size is the same as the transfer batch size, meaning that the units processed in any one cycle of an operation move on to the next operation as a batch at the same time.
Here are the general steps for determining optimal batch size to maximize process capacity:
The operation’s cycle time is for a batch of parts, not just a single unit.
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