How To Fix CCMM177 - Equipment & dismantled despite validation errors (forced removal)


CCMM177 - Overview

  • Message type: E = Error

  • Message class: CCMM - Message Class for A&D CCM

  • Message number: 177

  • Message text: Equipment & dismantled despite validation errors (forced removal)

  • Show details Hide details
  • What causes this issue?

    This message documents a forced removal process. You have removed
    equipment &V1& despite validation errors.
    User : &V2&
    Date : &V3&

    System Response

    The system supports this kind of removal. However, you should be aware
    of the consequences of your actions. A forced removal should only be
    used <ZH>in exceptional circumstances </>and <ZH>only by authorized
    users</>. Furthermore, the process is documented in the equipment master
    data by setting the '<LS>forced removal' </>indicator.

    Procedure for System Administrators


    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message CCMM177 - Equipment & dismantled despite validation errors (forced removal) ?
    The SAP error message CCMM177 indicates that an equipment item has been dismantled despite validation errors, which means that the system has allowed the dismantling process to proceed even though there are issues that should have prevented it. This can occur in the context of SAP's Plant Maintenance (PM) module, particularly when dealing with equipment and maintenance tasks.
    
    Cause: Forced Removal: The error suggests that the dismantling was forced, which can happen if the user has the necessary authorizations to bypass validation checks. Validation Errors: There may be specific validation rules set up in the system that are not being adhered to, such as dependencies on other equipment, ongoing maintenance orders, or other related processes that should have been completed before dismantling.
    Configuration Issues: The system configuration may allow for forced removals under certain conditions, which can lead to inconsistencies in data integrity.
    Solution: Review Validation Rules: Check the validation rules configured in the system to

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