How To Fix WRF_APC231 - Unable to read dates from previous scheduling, invalid dateline

SAP Error Message - Details

• Message type: E = Error

• Message class: WRF_APC - Messages for Operational Assortment Planning and Control

• Message number: 231

• Message text: Unable to read dates from previous scheduling, invalid dateline

What causes this issue?

The reference passed is invalid. No corresponding entry could be found
in the database or the buffer.

System Response

The system issues an error message and will not allow you to continue with this transaction until the error is resolved.

How to fix this error?

If the item can be changed, choose the <LS>Item Data</> tab page in the
detail view. There you can delete the reference to allow for new
scheduling.

Procedure for System Administrators

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message WRF_APC231 - Unable to read dates from previous scheduling, invalid dateline ?

  SAP Error Message:
  
  WRF_APC231 - Unable to read dates from previous scheduling, invalid dateline
  
  Cause:
  This error typically occurs in the Advanced Planning and Scheduling (APC) or Production Planning (PP) environment when the system tries to read scheduling dates from a previous scheduling run but encounters invalid or inconsistent date values (referred to as "dateline"). The "dateline" here means the date fields related to scheduling (like start date, finish date, or other key date fields) contain values that are either missing, corrupted, or logically inconsistent (e.g., finish date earlier than start date).
  Common causes include:
  
  Corrupted or incomplete scheduling data in the database.
  Inconsistent or missing date entries in the production order or planned order.
  Data inconsistencies due to interrupted or failed previous scheduling runs.
  Custom enhancements or user exits that incorrectly manipulate scheduling dates.
  System time zone or calendar settings causing date misinterpretation.
  
  
  Solution:
  To resolve the error, consider the following steps:
  
  
  Check the Scheduling Data:
  
  Review the production or planned order involved in the scheduling run.
  Verify that all relevant date fields (start date, finish date, scheduling dates) are correctly maintained and logically consistent.
  Use transaction codes like CO03 (Display Production Order) or MD04 (Stock/Requirements List) to inspect dates.
  
  
  
  Re-run Scheduling:
  
  If the previous scheduling run was incomplete or failed, try to reset or delete the scheduling data and run the scheduling again.
  Use transaction CM25 (Capacity Planning) or MF50 (Planning Table) to reschedule.
  
  
  
  Check for Data Corruption:
  
  Run consistency checks on the relevant tables (e.g., AFKO, AFPO for production orders).
  If inconsistencies are found, correct them manually or via support tools.
  
  
  
  Review Custom Code:
  
  If there are user exits, BADIs, or enhancements related to scheduling, review them for possible incorrect date handling.
  Temporarily disable custom code to check if the error persists.
  
  
  
  SAP Notes and Support:
  
  Search for SAP Notes related to message WRF_APC231.
  Apply any relevant SAP patches or corrections.
  
  
  
  System Settings:
  
  Verify calendar and time zone settings to ensure dates are interpreted correctly.
  
  
  
  
  Related Information:
  
  Message Class: WRF_APC (related to Advanced Planning and Scheduling)
  Common Transactions:
  
  CO03 - Display Production Order
  CM25 - Capacity Planning
  MF50 - Planning Table
  MD04 - Stock/Requirements List
  
  
  Tables to Check:
  
  AFKO - Order Header Data PP Orders
  AFPO - Order Item Data PP Orders
  RESB - Reservation/dependent requirements
  
  
  SAP Notes:
  
  Search SAP Support Portal for notes referencing WRF_APC231 or scheduling date inconsistencies.
  
  
  Summary:
  The error WRF_APC231 indicates that the system cannot read valid scheduling dates from a previous scheduling run due to invalid or inconsistent date values. The solution involves verifying and correcting the scheduling dates, ensuring data consistency, checking custom code, and possibly re-running the scheduling process.
  If the problem persists after these steps, consider raising a support ticket with SAP, providing detailed logs and system information.