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Sagot :
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:
- Determine the capacity of each resource for different batch sizes.Calculate the capacity for several batch sizes, including the minimum and maximum allowable size.
- Determine whether the bottleneck changes from one resource to another.The bottleneck may shift if some resources have the same cycle time regardless of batch size and others have changing cycle times based on batch size.
The operation’s cycle time is for a batch of parts, not just a single unit.
- Determine the batch size that causes the bottleneck to change.In general, this occurs when the capacity of the original bottleneck equals that of the new bottleneck.
Learn more about capacity of resources :
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