How To Fix /ISDFPS/PM051 - &1 &2 &3 is more up to date in the target system; IDoc is ignored

/ISDFPS/PM051 - Overview

• Message type: E = Error

• Message class: /ISDFPS/PM -

• Message number: 051

• Message text: &1 &2 &3 is more up to date in the target system; IDoc is ignored

Self-Explanatory Message

Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

Unfortunately, there isn't any extra information in this error notice.

What else can you do?

First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.

/ISDFPS/PM051 - Details

• The SAP error message /ISDFPS/PM051 &1 &2 &3 is more up to date in the target system; IDoc is ignored typically occurs in the context of IDoc processing, particularly when there is a conflict between the data being sent via the IDoc and the existing data in the target system. This message indicates that the data in the target system is more recent than the data being sent in the IDoc, leading to the IDoc being ignored to prevent overwriting more current information.
  
  Cause:
  
  Data Version Conflict: The IDoc contains data that is older than what is already present in the target system. This can happen if the data was updated in the target system after the IDoc was generated.
  Timing Issues: If there are multiple systems or processes updating the same data, timing issues can lead to one system having more recent data than another.
  Incorrect IDoc Configuration: The IDoc may not be