Safety Stock Optimization Infeasibility Diagnosis

You can run infeasibility diagnosis enabled for Safety Stock Optimization. In addition, you can control how safety stock infeasibility analyzes constraints using Safety Stock Optimization Infeasibility Diagnosis options. The results of this analysis are populated in the Inventory Constraint Summary table.

Once Safety Stock Optimization returns an infeasibility, safety stock infeasibility diagnosis can help you detect what sets of constraints are causing the infeasibility. Infeasibility arises primarily from conflicting constraints.

If a model has been prepared correctly, infeasibility within Safety Stock Optimization can only be caused by a limited number of conditions.

Examples include:

• Service Requirement (Inventory Policies) is less than 0.5.
• Maximum Safety Stock (Inventory Policies) is less than the required amount needed to fulfill Service Requirement.
• Minimum Service Time or Maximum Service Time (Inventory Policies) conflict with Service Requirement.
• Model structure has been compromised by the user.