How To Fix /PM0/ABR_PM_PLAUSIS800 - Test plausibility

/PM0/ABR_PM_PLAUSIS800 - Overview

• Message type: E = Error

• Message class: /PM0/ABR_PM_PLAUSIS -

• Message number: 800

• Message text: Test plausibility

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 /PM0/ABR_PM_PLAUSIS800 - Test plausibility ?

  The SAP error message /PM0/ABR_PM_PLAUSIS800 typically relates to the plausibility check in the context of Plant Maintenance (PM) or Project Management (PM) modules. This error indicates that there is an issue with the data being processed, which fails the plausibility check during a specific operation, such as planning or scheduling.
  
  Cause:
  The plausibility check is designed to ensure that the data entered into the system meets certain criteria and is logically consistent. Common causes for this error may include:
  
  Missing or Incomplete Data: Required fields may not be filled out completely, or necessary data may be missing.
  Incorrect Data Formats: Data entered may not conform to expected formats (e.g., dates, numerical values).
  Inconsistent Data: There may be inconsistencies between different data entries, such as conflicting dates or resource allocations.
  
  Configuration Issues: The system configuration may not support the operations being attempted, leading to plausibility failures.
  Business Rules Violations: The data may violate specific business rules defined in