How To Fix LT174 - Capacity check "1" requires adaptation of storage bin data

LT174 - Overview

• Message type: E = Error

• Message class: LT - LE-WM: View or Table Maintenance Error Messages

• Message number: 174

• Message text: Capacity check "1" requires adaptation of storage bin data

What causes this issue?

When the capacity check method was changed, the system found that
<GL:storage_bin>storage bins</> in storage type '&V2&' in
<GL:warehouse_number>warehouse number</> '&V1&' were without weight
data. The correct use of this check method requires that the weight
data (field <DS:DE.LAGP_LGEWI>Maximum weight</>) in the respective
storage bins be maintained.

How to fix this error?

If you want to use this capacity check, you must maintain the storage
bin data.
To execute multiple changes in storage bins, use the program
<DS:RE.RLLS0600>RLLS0600</>.

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message LT174 - Capacity check "1" requires adaptation of storage bin data ?

  The SAP error message LT174, which states "Capacity check '1' requires adaptation of storage bin data," typically occurs during warehouse management processes when the system detects an issue with the storage bin's capacity settings. This error is related to the capacity check that is performed when trying to put away or move stock in the warehouse.
  
  Cause:
  The error can be caused by several factors, including:
  
  
  Storage Bin Capacity Settings: The storage bin may not have the correct capacity settings defined. This includes the maximum weight, volume, or quantity that the bin can hold.
  
  
  Warehouse Management Configuration: The configuration for the warehouse management system may not be set up correctly, leading to discrepancies in how capacity checks are performed.
  
  
  Stock Type or Material Characteristics: The characteristics of the stock being moved (such as weight or volume) may exceed the defined limits of the storage bin.
  
  
  Inconsistent Data: There may be inconsistencies in the data related to