A cluster consists of the operation lines of one or more production orders. Clusters can be used when an employee performs a number of similar, short operations for multiple operation lines at the same time. If 20 profiles must be sawn, the employee will be given a stack of work orders (one for each profile), and he will process all of them. If this process takes one hour in total, he will post one hour against the cluster containing the 20 sawing operations.
The cluster is made up of a cluster header containing general data. Click the Cluster lines button to link various lines to the cluster header. These lines contain the operation lines from the different production files. This groups the different operations that must be performed within a cluster.
In the time registration records, the employee's hour lines that have been recorded against a cluster will be calculated back based on the ratio of the preliminary machine times. This calculation is as follows:
Exceptions
If there are no preliminary labor hours within a cluster, but there are labor costs after all, the distribution of the preliminary machine hours will be used. If this quantity is also zero, because both the labor hours and the machine hours are zero, the costs will be distributed proportionally among all cluster lines.
Conversely, the same applies to the machine costs. When the preliminary machine distribution results in zero, the preliminary labor hour distribution will be used. If this is also zero, the costs will be distributed proportionally among the cluster lines.
If no cluster distribution is possible, the costs will be distributed proportionally.
In practice
Clusters can be created in advance, as well as on the shop floor. Pre-created clusters are usually entered by planners. When created on the shop floor, clusters are usually entered by production staff. For example, a production employee may decide to cluster the work orders for which 2mm sheets are required, and to cut all of the sheets at the same time. The production employee uses Production Data Integration (PDI) functionality to create the cluster on the shop floor.
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