How To Fix MDRD502 - Delivery relationship determination cancelled due to incorrect parameters

MDRD502 - Overview

• Message type: E = Error

• Message class: MDRD - Messages for Delivery Relationships

• Message number: 502

• Message text: Delivery relationship determination cancelled due to incorrect parameters

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.

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Smart SAP Assistant

• What is the cause and solution for SAP error message MDRD502 - Delivery relationship determination cancelled due to incorrect parameters ?

  The SAP error message MDRD502, which states "Delivery relationship determination cancelled due to incorrect parameters," typically occurs in the context of the SAP Advanced Planning and Optimization (APO) module or during the delivery processing in SAP ERP. This error indicates that the system was unable to determine the delivery relationship due to incorrect or missing parameters in the configuration or master data.
  Causes:
  
  
  Incorrect Configuration: The delivery relationship determination may not be properly configured in the system. This could involve settings in the delivery relationship determination procedure or the relevant customizing settings.
  
  
  Missing Master Data: Required master data such as customer, vendor, or material master records may be incomplete or missing essential information.
  
  
  Invalid Parameters: The parameters used for determining the delivery relationship (like shipping point, delivery type, etc.) may not be valid or may not match the expected values in the system.
  
  
  Data Inconsistencies: There may be inconsistencies in the data that are causing