How to Stop Raw Material Issues Exceeding Job Order Requirements?
This tutorial explains how to prevent excess raw material issuance beyond job order or BOM limits during the production process in Logic ERP. This ensures controlled material usage, accurate costing, and reduced wastage.
Access to Job Order
Open the Job Order module.
Select whether the job is assigned to:
Internal Worker
External Party
Select the worker's name.
Enter:
Item to be produced
Required quantity
Save the job order document.
Create Issue for Processing (First Process)
Open Issue for Processing – First Process.
Select:
Worker name
Process name
Select the Job Order from the list.
The job details will be auto fetched.
Save the document.
Issue Raw Material Against Job Order
Open Raw Material Issue Against Job Order – Internal.
Select:
Worker name
Process
Select the Job Order from the list.
Production Issue
Press F8 to calculate required raw material.
Click Refresh to fetch linked BOM items.
Select the raw material and save.
At this stage, the system still allows excess quantity—no restriction is applied yet.
Enable Restriction Settings
Open Configuration.
Go to Raw Material Issue Settings.
Set:
Compare Issues Against BOM Option → Job Order BOM Defined
Enable:
Do Not Allow Issues Beyond BOM Scope
Save the configuration.
Verify the Restriction in Action
Repeat the Raw Material Issue process:
Select worker, process, job order, and production issue.
Press F8 → Click Refresh → Select items → Save.
Now try to:
Increase the raw material quantity beyond the BOM limit
On saving:
A validation message appears
The system blocks the transaction
Only the allowed BOM quantity can be saved
Final Result & Benefits
Prevents over-issuing of raw materials
Ensures BOM compliance
Controls production cost
Avoids material wastage
Improves process discipline and audit accuracy
Conclusion
By enabling the “Do Not Allow Issues Beyond BOM Scope” setting in Logic ERP, organizations can strictly control raw material consumption as per job order requirements. This not only improves production efficiency and cost accuracy but also ensures transparent and disciplined inventory management.
