How To Fix /SCWM/WAVE168 - Batch Job ended for warehouse &1 wave &2. Date: &3 - Time &4

SAP Error Message - Details

• Message type: E = Error

• Message class: /SCWM/WAVE -

• Message number: 168

• Message text: Batch Job ended for warehouse &1 wave &2. Date: &3 - Time &4

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 /SCWM/WAVE168 - Batch Job ended for warehouse &1 wave &2. Date: &3 - Time &4 ?

  The SAP error message /SCWM/WAVE168 indicates that a batch job related to warehouse management and wave processing has ended, but it does not provide specific details about the cause of the failure. Here’s a breakdown of the potential causes, solutions, and related information for this error message:
  Possible Causes:
  
  Job Configuration Issues: The batch job may not be configured correctly, leading to its failure.
  Resource Constraints: Insufficient system resources (CPU, memory, etc.) can cause the job to terminate unexpectedly.
  Data Issues: There may be issues with the data being processed, such as missing or incorrect entries in the database.
  Authorization Problems: The user or process executing the job may lack the necessary authorizations to complete the task.
  System Errors: There could be underlying system errors or bugs in the SAP application that cause the job to fail.
  Timeouts: The job may have exceeded the allowed execution time, leading to a timeout and subsequent termination.
  
  Solutions:
  
  Check Job Logs: Review the job logs for detailed error messages or warnings that can provide insights into why the job failed. You can do this in transaction SM37 by filtering for the specific job name and date.
  Review Configuration: Ensure that the batch job is configured correctly. Check the parameters and settings used for the job.
  Monitor System Resources: Use transaction ST02 or ST06 to monitor system performance and resource usage. If resources are low, consider optimizing or increasing them.
  Data Validation: Validate the data being processed in the wave. Check for any inconsistencies or missing data that could cause the job to fail.
  Check Authorizations: Ensure that the user or process executing the job has the necessary authorizations to perform the required actions.
  Re-run the Job: After addressing any identified issues, try re-running the batch job to see if it completes successfully.
  Consult SAP Notes: Check the SAP Support Portal for any relevant SAP Notes or patches that may address known issues related to this error message.
  
  Related Information:
  
  Transaction Codes: Familiarize yourself with relevant transaction codes such as SM37 (Job Monitoring), SLG1 (Application Log), and ST22 (Dump Analysis) to troubleshoot further.
  SAP Documentation: Refer to the official SAP documentation for more details on wave management and batch job processing in the Extended Warehouse Management (EWM) module.
  Support Community: Engage with the SAP Community or forums for additional insights and shared experiences from other users who may have encountered similar issues.
  
  By following these steps, you should be able to identify the cause of the error and implement a solution to resolve it.