Why Attempts to Improve OTIF Performance Fail When the Promise Date Keeps M

Why Attempts to Improve OTIF Performance Fail When the Promise Date Keeps Moving

Seniors Implementation Consulting
Seniors Implementation Consulting
4 min read

A senior leader reviews a green delivery dashboard in the morning, then spends the afternoon responding to a serious customer escalation. That contradiction is often where attempts to improve OTIF performance need a harder look. The issue may not be the formula alone. It may be the promise date used as the target.

Why Attempts to Improve OTIF Performance Fail When the Promise Date Keeps Moving

Why improve OTIF performance Efforts Break Down at the Date Level

To improve OTIF performance, manufacturers must know which commitment is being measured: the original customer request date, the initial company promise date, the supplier-confirmed date, a revised promise date, the scheduled shipment date, the actual shipment date, or the actual customer receipt date. Each date can tell a different story. A shipment may leave the plant on time but arrive outside the customer’s delivery window. Several lines may arrive early while the complete order remains late. An order may even be counted on time against its third promised date, while the customer remembers the first commitment.

A revised promise date is not automatically wrong. Customers change priorities. Sales may renegotiate a delivery date. Planning may revise a promise after a supplier shortage, quality hold, capacity issue, or engineering change. The problem begins when the revised date replaces the original commitment without preserving the history, approval, and reason for the change.

Following One Order Through the OTIF Record

Consider an illustrative order. The customer requests 1,000 units by May 10. The company initially promises May 12. A material shortage appears, and planning revises the promise to May 18. The plant ships 700 units on May 18, 300 units on May 22, and the customer receives the final quantity on May 24.

If OTIF is measured against the latest revised promise date and partial shipments are allowed, part of the order may appear successful. If it is measured against the initial promise date and complete receipt quantity, the order is late and incomplete. If it is measured at line level, some lines may pass while the full customer order fails. None of these rules is useful unless leaders know exactly which rule is being used.

The Questions an OTIF Integrity Audit Should Ask

A credible audit starts with four questions. What did the customer originally request? What did the company initially promise? What changed, who approved the change, and why? What did the customer finally receive?

The review should also test denominator rules, exclusions, cancellations, early deliveries, backorders, partial shipments, quantity tolerances, and quality-blocked product. If quality hold prevents usable receipt, the customer did not experience reliable delivery simply because the box shipped. If customer-approved changes are excluded, the approval trail should be visible. If early deliveries are counted as on time, the customer agreement should allow early receipt.

Why the Metric Must Match the Customer Experience

The purpose of OTIF is not to protect a dashboard. It is to show whether customers received the right product, in the right quantity, at the agreed time. When date movement is uncontrolled, reported performance can improve while past-due orders, premium freight, complaints, penalties, and backlog remain unchanged.

Manufacturers that want to improve OTIF performance need measurement discipline before process improvement can be trusted. The original request date, initial promise date, revised promises, shipment date, receipt date, and change reasons should remain visible. Only then can leaders separate legitimate customer changes from internal delivery failure and fix the operating causes behind the metric.

Conclusion

Attempts to improve OTIF performance fail when the promise date keeps moving because the business loses sight of the commitment customers actually experienced. Better reporting will not solve late material, unstable schedules, poor capacity control, or weak exception ownership by itself. But it will reveal the truth early enough for operators to act on it.

 

 

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