Component Pick Release Submit Requests Program

You can release picking tasks on the Component Pick Release window; or they can be submitted for another time using concurrent or scheduled processing.

arrow icon   To submit requests for component picking:

  1. Navigate to the Component Pick Release (SRS) window to display the Parameters window.

    There are three separate submit request programs, depending on the job or schedule type you are picking:

  2. In the Days Forward field, enter the number of days in the future to consider requirements for this pick release.

    For example, if this value is 1, and your program is scheduled to run daily-it will pick up requirements for jobs and schedules up to one day forward. Any new material requirements added today are picked up by the concurrent program when it is scheduled to run next.

  3. Select a rule in the Pick Slip Grouping Rule field.

    The grouping rule is used to group tasks based on the pick method. Rules are defined on the Pick Slip Grouping Rules window in Oracle Inventory. See: Pick Slip Grouping Rules

  4. In the Print Pick Slips field, select a value of Yes or No to indicate if you want to print the Move Order Pick Slip Report as part of this component pick release.

  5. If this is an Oracle Warehouse Management organization, in the Plan Tasks field, select a value of Yes or No to indicate if you want to release tasks at the time of the pick release.

    Yes indicates that the concurrent program will plan tasks and pass this data to the Inventory Pick Release API.

  6. If this pick release is for repetitive schedules, enter a value in the Days of Supply field.

    The Days of Supply value is used to calculate the pick quantity. This value is multiplied by the daily production rate, and component quantity per assembly. If the open quantity is less than the value entered here, the open quantity is used.

  7. Choose OK to display the Submit Request window.

  8. Choose Submit. See: Submitting a Request.

    Jobs that meet the criteria entered are released when your request is run.

    Note: If errors occur in the processing, the concurrent program continues to process the other records in the batch, but ends in a warning - displaying a list of records that failed.

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