How To Fix ID_PL_DP003 - &1 &2 &3 &4 &5

ID_PL_DP003 - Overview

• Message type: E = Error

• Message class: ID_PL_DP - Message class for Poland FI localization

• Message number: 003

• Message text: &1 &2 &3 &4 &5

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.

Smart SAP Assistant

• What is the cause and solution for SAP error message ID_PL_DP003 - &1 &2 &3 &4 &5 ?

  The SAP error message ID_PL_DP003 typically relates to issues in the Demand Planning (DP) module, particularly when dealing with planning data or master data. The message ID usually indicates that there is a problem with the data being processed, which could be due to various reasons such as missing data, incorrect configurations, or issues with the planning book.
  
  Cause:
  The specific causes of the error can vary, but common reasons include:
  
  Missing Master Data: Required master data (like material master, location, etc.) may not be available or properly maintained.
  Incorrect Planning Book Configuration: The planning book may not be set up correctly, leading to issues when trying to access or manipulate data.
  Data Inconsistencies: There may be inconsistencies in the data that are being processed, such as incorrect key figures or planning levels.
  Authorization Issues: The user may not have the necessary authorizations to access certain data or perform specific actions.
  Technical Issues: There could be underlying