What it means
A delivery schedule turns an overall supply arrangement into dated quantities, such as 500 units every Monday or a different amount by week and destination. The buyer uses it to plan inventory while the supplier plans materials, labour and freight, and it works only when both parties know which version is current.
The contract should distinguish firm commitments from forecasts, since a near-term window may be fixed while later quantities can be revised with notice. If the seller buys material against a forecast, the parties should agree who bears cancellation or obsolescence costs, because a planning figure is not necessarily a purchase order.
STIHL's supplier guide illustrates how delivery schedules can show demand and guide supplier collaboration, and SAP's scheduling-agreement release documentation describes a software mechanism for communicating changes under an agreement. These are examples of operational systems, not universal contract terms, so read the actual customer's release rules.
Each line should identify the part or product, quantity, unit, required date, delivery location and agreement reference, and where products have revisions it should state which version the buyer needs. A schedule that says "200 brackets" without the drawing revision can cause costly rework.
Date language needs care, since the date could be when goods leave the supplier, arrive at a warehouse or become available for use, and time zones and business-day calendars can matter across borders. Define the handover point and transport responsibility, because an "on-time" metric is meaningless if the parties measure different events.
A rolling schedule updates as demand changes, with the next four weeks detailed and later months approximate, so keep a version number and issue date and reconcile each revision against what is already produced, shipped or invoiced. Software can help share schedules and acknowledgements, but an electronic release may fail to sync, so assign owners to monitor exceptions and retain a history of accepted changes instead of overwriting yesterday's plan.
Lead times constrain flexibility, since a customer cannot demand custom goods tomorrow if a critical component takes six weeks unless the supplier already holds stock. The parties can set frozen, flexible and forecast zones, defining permitted changes and any premium for expedited production.
Capacity planning should use realistic peaks: if a schedule rises from 500 to 1,000 units weekly in one month, the supplier may need extra staff or machinery, and a verbal assurance from a salesperson does not create production capacity. Delivery schedules also affect cash flow, because a supplier may buy materials before receiving payment while a buyer may stockpile too much if deliveries arrive early, and more frequent smaller drops can increase transport cost even if total units are unchanged.
A shipment can be short or late, so record actual delivery against each scheduled line and agree a recovery plan, rather than silently adding missing units to the next truck. The buyer has responsibilities too, since its receiving site must have space, staff and shared access rules, and a truck arriving at an agreed time can still wait if the dock is closed.
In practice
Real-world examples.
Example
A manufacturer places a 12,000-unit order that is delivered in 1,000-unit monthly lots. The schedule shows each month's date and destination, so the buyer's warehouse plans space and the supplier plans production for 12 equal runs.
Example
A construction contractor receives steel in phases that follow each floor of a building. The schedule ties each delivery to a site date, so beams do not arrive weeks before the crane or storage space is ready.
Example
A supplier misses two scheduled deliveries to a retailer's distribution centre. The buyer records the shortfall against the original lines, agrees a recovery plan, and avoids double counting when the late units arrive alongside the next planned lot.
Formula
Calculation
Schedule adherence = Deliveries on schedule / Total scheduled deliveries x 100
Worked example. A fictional supplier has 50 scheduled deliveries in a month and 46 arrive on the agreed date.
- Adherence = 46 / 50 x 100 = 92%.
A stricter on-time-in-full version counts only lines delivered on the agreed date and in full. If 18 of 20 scheduled lines qualify, the rate is 18 / 20 x 100 = 90%. Define grace periods and whether partial shipments count, and measure the supplier fairly by excluding changes caused by the buyer.Case study
Seen in the real world.
This illustrative and entirely fictional case follows Crescent Auto Parts, an invented supplier receiving a rolling delivery schedule for components. It confirms the next two weeks as firm and treats later quantities as forecasts under the contract. When the buyer asks to pull deliveries forward, the team checks capacity and price before agreeing. The example does not assume every forecast is binding.
Before the change, Crescent treated every figure on the buyer's schedule as an order and built stock early, which tied up cash and left obsolete parts when a model was revised. After agreeing frozen, flexible and forecast zones, it bought materials only for the frozen weeks and reviewed the rest each Monday. Inventory of raw components fell by about a fifth over two quarters, and the buyer received clearer notice of any capacity limits.
Watch out
Common mistakes.
- Treating a forecast column as a firm order without checking the contract.
- Changing a delivery date in one spreadsheet without confirming it with the other party.
- Ignoring capacity, transport lead time and inventory impact of schedule changes.
Questions
People also ask.
What is a delivery schedule?
An agreed plan of delivery dates and quantities.
Why use one?
To plan stock, storage and cash.
What if it changes?
Agree changes in writing.
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