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SAP EWM Warehouse Task Exception Log Worksheet

Even a well-configured SAP EWM warehouse produces exceptions: tasks that cannot be confirmed, picks that find an empty bin, and handling units that do not match. A simple log makes them visible, assigns owners and shows which root causes keep returning.

Download:

Date raised	Warehouse task / order	Exception	Storage bin	Material	Qty affected	Unit value	Value exposed	Age (hours)	Owner	Root cause	State
							$14
							$50
							$190
							$187

Total value exposed

$441

Oldest item (hours)

Logged exceptions

Average age

24 hrs

Update age daily. Review root causes weekly: repeated Unknown or Inventory inaccuracy usually points to a counting or putaway discipline problem rather than a system fault.

Exception trend reporting

Optional: ask how exception data could be summarised automatically from your own system.

Optional. The tool and every export work without this. No spam.

How to use the log

Add a row each time a supervisor or key user meets an exception. Record the task, order or handling unit reference, the bin, the material and the quantity. The sheet calculates value exposed from quantity and unit value. Update the age and state daily, and set a root cause when you know it. Export to Excel for the weekly review with operations and IT.

Log it even if you fix it immediately
Always name one owner
Use the root cause list consistently
Close rows only after the fix is verified

Typical exception types

Short picks happen when the system bin quantity is higher than the physical quantity. Bin differences are found during counts or putaway. Stuck tasks often relate to a failed confirmation, a blocked resource, or a missing follow-up step. Wrong handling unit records come from scanning or process errors. Printing issues interrupt flow without being stock problems. Separating these types gives a clearer picture of whether the problem is data, process or technology.

Reading the totals

Value exposed shows the money at risk in open exceptions, and the maximum age flags work that has been left too long. An average age that keeps rising during hypercare tells you the support team is not keeping up. If one root cause dominates, fix that cause: retraining, a cycle count programme or a configuration change is cheaper than closing the same exceptions repeatedly.

Common mistakes

Logs lose value when they are filled in irregularly.

Waiting until end of week to log
Using free-text causes that cannot be summed
Closing rows without checking stock
Keeping separate logs per shift

Frequently Asked Questions

Does this replace the SAP EWM warehouse monitor?

No. The warehouse monitor shows system state. This log adds the human side: owner, root cause and age of decisions, which the system does not capture by default.

How do I value an exposed item?

Use standard cost or moving average price per unit from your material master. The figure is a risk indicator, not an accounting adjustment, so approximate values are fine.

How long should hypercare logging last?

Keep it until the daily number of new exceptions has stayed low for a sustained period. Many sites continue a lighter weekly version permanently as part of inventory control.

Can I share it across shifts?

Export the sheet to Excel and keep a single shared copy on your network, or use the shared tracker your team already uses. This browser tool does not store data for others.

If you would like exception patterns pulled automatically from EWM monitor data and summarised each morning on your own servers, we can discuss building it.

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