Start with something familiar
If you bake for a school fair, a tray count is not a promise that every cake will be fit to sell. Some may stick or break. You can allow for that when choosing how many to bake, yet you still need to count the good cakes before packing orders. Your oven may also be free on Tuesday but booked on Monday. Extra time in the wrong slot cannot rescue a promise due before it starts.
Words to know: Expected yield, Time bucket, Usable capacity.
Understand the constraint
Northstar has next week demand of fifty one bottles plus six separate prior backlog bottles. Eighteen usable bottles are on hand and ten more arrive before demand. The net requirement is fifty one plus six minus eighteen minus ten, or twenty nine good bottles. If the forecast already contains an order, do not add that order again. Keep old backlog on its own row. A receipt after the due time cannot serve as opening stock merely because it appears in the same weekly report.
At an assumed yield of ninety seven percent, the planning start quantity is the ceiling of twenty nine divided by point nine seven. That equals thirty starts. Expected good output is twenty nine point one, which is an average calculation and not a batch guarantee. Real good output is an integer. If only twenty eight bottles pass inspection, the plan still has a one bottle gap. Do not convert expected output into a firm shipment without inspection or an explicit risk policy.
Interpret the result
Calendars tell us when usable work can occur. A resource with an expired qualification cannot be treated as qualified simply because it has spare hours. Likewise, a crew available after the truck departure cannot support that departure. Build separate rows for machine minutes, qualified crew minutes, inspection release, and dispatch cutoff. In this lesson every run starts and ends within its assigned day. More detailed job sequencing belongs in a subsequent scheduling review, but the date gates must already be visible.
Create one row for each resource or stock position and one column for each time bucket. Put the unit in the row label and keep inputs separate from calculated results. Begin with the smallest case you can verify by hand, then extend the same equations across periods. Give every receipt a usable date and every requirement a due date. Preserve the baseline before changing an assumption so the effect of an action is visible.
Validate and explain
Use a second check that follows the physical story. Count what enters, what is used, what waits, and what leaves. A plan that balances in total can still fail at an earlier cutoff. Mark any unavailable input as an assumption rather than filling it with a convenient zero. A zero means a known absence; an unknown value means the promise remains conditional. This difference belongs in both the model and the decision note.
A calculation becomes useful when it changes a choice. Compare the baseline with at least two scenarios, identify the first limiting condition in each, and explain what additional resource would actually change delivered output. Keep a service measure alongside any cost or value measure. State whether the choice maximizes value, protects a commitment, or reduces the worst shortfall. A different goal can produce a different sensible answer from the same facts. Finish by testing one deliberately wrong proposal, such as a receipt used before arrival or a quantity above a resource ceiling. Your table should make that error visible. Save the rejected proposal with a short explanation, because it teaches a reviewer how the checks work. The eight hours include rebuilding, scenario work, writing, and teach-back; they are self-paced estimates rather than measured completion times. Faster readers should deepen the checks instead of merely rereading the text.
- Define units and dates
- Calculate required use
- Check every limit
- Compare actions
- Release a conditional plan
Northstar: calendars, starts, and expected good output
All quantities below are fictional and apply only to this fully specified exercise. Monetary values are generic currency units.
| Item | Value or limit | Unit or context |
|---|---|---|
| Next week demand | 51 | good bottles |
| Prior backlog | 6 | good bottles |
| Usable stock | 18 | good bottles |
| On-time receipt | 10 | good bottles |
| Yield assumption | 0.97 | good/start |
- 1. 51 + 6 − 18 − 10 = 29 required good bottles.
- 2. ceil(29/0.97) = 30 starts.
- 3. 30 × 0.97 = 29.1 expected good bottles, not a guarantee.
Plan 30 starts and retain an inspection-dependent release gate.
Assumptions
- All unlisted resource restrictions are absent for this teaching case.
- Use the timing, yield, and carry rules stated in the lesson; do not add unstated receipts.
Where this can fail: This model is conditional on its supplied inputs. It does not certify supplier execution, actual yield, or a detailed shop-floor sequence.
Build, test and explain a plan
Build a three-day ledger with opening usable stock 18, receipts 10/0/0 before each day’s demand, demand 20/20/11, and the old backlog 6 due on day one. Planned starts are 0/20/10. Production is released before that day’s demand. First use expected yield 97%; then use observed good output 0/19/9; then delay the initial receipt to day two. Allow backlog, never negative physical inventory. The eight-hour estimate covers an original workbook or paper model, scenario calculations, checks, and communication; it is not experimentally validated.
Use paper or a spreadsheet. The estimates below include the study and worked example already on this page.
| Estimated hours | Activity |
|---|---|
| 0.5 | Study the two constraint explanations. Write a data dictionary with units, dates, and the boundary of each resource. |
| 0.5 | Recalculate the worked example without looking at its answer. Reconcile every difference and record the corrected arithmetic. |
| 3 | Build the complete multi-period or multi-case planning table specified above. Keep inputs separate, show all formulas, and add explicit checks for capacity, stock, and due quantities. |
| 2 | Run every requested stress case. Add a comparison table of resource use, feasible output, remaining gaps, and the first constraint that blocks improvement. |
| 1 | Write a one-page decision memo that selects a feasible action, states its goal, names the assumptions, and distinguishes firm results from conditional ones. |
| 1 | Teach the model aloud to an imagined colleague. Trace one bottle or one decision through all rows, test one invalid proposal, and revise unclear labels. |
Your deliverables
- A reproducible planning table with inputs, formulas, units, and checks.
- A scenario comparison with service and resource consequences.
- A decision memo and short teach-back outline.
Check your practice work
- Expected end positions are 2, 1.4, and 0.1 good-bottle equivalents; fractional values are planning expectations only.
- Observed output gives closing usable inventory 2, 1, and 0 with one bottle unfilled at the end.
- With the receipt delayed and observed output, day one ships 18 and leaves backlog 8; day two has 29 available, serves 28 due, and leaves 1; final gap stays 1.
Keep these three ideas
- Separate expected output from guaranteed availability.
- Keep quantities, resource units, and due times explicit.
- Recheck all constraints after a change, and report remaining uncertainty.
Common mistakes
- Treating capacity in a later time bucket as available before the due gate.
- Calling an expected or conditional quantity a guaranteed shipment.
Optional video study
Separate expected output from guaranteed availability.
- Frame the Northstar constraint and unit.
- Walk the checked example through every resource.
- Compare the lab stress cases and explain the release decision.
The second half of the module narration uses this lesson’s case and checks.
Open the module media & quizPut this idea to use
Carry your assumptions into a practical tool, then compare your result with a short guide.
Open a related planning toolRead the related planning guidePractice with the planning gameThis saves a completion marker in this browser only. It does not verify time spent.