Parallel Execution of Production Operations

The Parallel Execution of Production Operations functionality of MRPeasy automatically divides an operation among several workstations of the same kind for faster parallel processing.

As a common example, this is useful in the textile industry, where a large batch of products must be processed, and the work should be divided among all available workstations, sewing machines.

  • How to configure parallelization for an operation.
  • How the software divides an operation among available workstations.

User Manual: Parallel Execution of Production Operations

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Transcript:

With the MRPeasy Professional edition, it is possible to automatically divide an operation among several workstations of the same kind for faster processing.

This functionality is called the “Parallel execution of production operations.”

For example, this is useful in the textile industry, where a large batch of products must be processed, and the work should be divided among all available workstations.

Configuring parallelization

If you have a large production run and the performing of an operation should be divided among all available workstations of the same group, then check the “parallelize” checkbox for that operation in the routing.

Now, if you schedule a manufacturing order, this operation will be divided into smaller parallel operations among all available workstations of the same group.

The number of available workstations then divides the approximate duration of that operation. However, in a specific scheduling situation, differences in availability and productivity among workstations may play a big role and are considered by the software.

Enabling the “parallel execution of production operations” functionality

This functionality can be enabled at “settings – system settings – professional functions.”

In this video, we demonstrated how to use the parallelization functionality.

To learn more about MRPeasy, please see our other videos.

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Keywords: Parallel processing, production scheduling, production optimization, operation scheduling